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        <title>UHR — NAEOTOM Connect</title>
        <link>https://connect.siemens-healthineers.com/zh/</link>
        <pubDate>Sun, 25 Oct 2026 04:14:50 +0000</pubDate>
        <language>zh</language>
            <description>UHR — NAEOTOM Connect</description>
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        <title>(2026) Huijberts | Visualisation of lenticulostriate arteries using PCCT</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/589/2026-huijberts-visualisation-of-lenticulostriate-arteries-using-pcct</link>
        <pubDate>Wed, 21 Oct 2026 11:44:48 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">589@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>In this retrospective cohort of <strong>159 patients with subarachnoid haemorrhage</strong>, UHR PCCT substantially improved lenticulostriate artery (LSA) visualization compared with conventional EID-CTA. For branches arising <strong>&gt;5 mm from the MCA origin</strong>, PCCT detection approached DSA—for example, <strong>93% vs 85%</strong> for observer 1 in the left hemisphere (<em>p</em> = 0.62)—while EID-CTA detected only <strong>49%</strong> in the unpaired comparison.</p><p></p><p>PCCT remained inferior to DSA for depicting the <strong>full distal extent</strong> of larger LSA branches. Median LSA length &gt;5 mm from the MCA origin was <strong>23 mm on PCCT vs 40 mm on DSA</strong> for observer 1, whereas PCCT nevertheless showed significantly longer measurable branches than EID-CTA (<strong>23 vs 15 mm</strong>, <em>p</em> &lt; 0.001).</p><p></p><p>The main technical trade-off was dose: the optimized <strong>90-kVp, 0.2-mm UHR PCCT protocol</strong> achieved markedly better small-vessel visualization, but CTDIvol ranged <strong>17–27 mGy</strong>, above the reported EID-CTA ranges. Thus, PCCT appears promising as a <strong>non-invasive alternative for LSA assessment</strong>, but DSA remains superior for the most distal branches and prospective clinical validation is needed.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.ejradiology.com%2Farticle%2FS0720-048X%2825%2900704-1%2Ffulltext" rel="nofollow noopener ugc" role="button">Access publication</a></p><p><strong>SUPPLEMENTAL APPENDIX</strong></p><div data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/VKY9D5W3ZCND\/1-s2-0-s0720048x25007041-mmc1.pdf&quot;,&quot;name&quot;:&quot;1-s2.0-S0720048X25007041-mmc1.pdf&quot;,&quot;type&quot;:&quot;application\/pdf&quot;,&quot;size&quot;:1678327,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FVKY9D5W3ZCND%2F1-s2-0-s0720048x25007041-mmc1.pdf&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1931,&quot;dateInserted&quot;:&quot;2026-10-21T11:50:02+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;file&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 2. </strong>LSA visualisation on DSA, EID-CTA and PCD-CT Note: (A) Rotational angiography; (B) Conventional anterior-to-posterior imaging; (C) 3D angiography cone beam CT (D) Second-generation dual source EID-CTA [flash]; (E) Third-generation dual source EID-CTA [force]; (F) PCD-CT.</p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/NP8VB0OIXAE7\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:195701,&quot;width&quot;:761,&quot;height&quot;:829,&quot;displaySize&quot;:&quot;medium&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FNP8VB0OIXAE7%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1932,&quot;dateInserted&quot;:&quot;2026-10-21T12:28:01+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p>Table S1: Detailed information on employed CTA imaging protocols</p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Intracranial CTA / lenticulostriate arteries</p></td></tr><tr><td><p><strong>Acquisition mode</strong></p></td><td><p>UHR</p></td></tr><tr><td><p><strong>Tube voltage [kVp]</strong></p></td><td><p>90</p></td></tr><tr><td><p><strong>Tube current-time product [mAs]</strong></p></td><td><p>250–330</p></td></tr><tr><td><p><strong>CTDIvol [mGy]</strong></p></td><td><p>17–27</p></td></tr><tr><td><p><strong>Rotation time [s]</strong></p></td><td><p>0.25</p></td></tr><tr><td><p><strong>Pitch</strong></p></td><td><p>0.4</p></td></tr><tr><td><p><strong>Detector slice collimation</strong></p></td><td><p>120 × 0.2 mm</p></td></tr><tr><td><p><strong>Reconstruction slice thickness [mm]</strong></p></td><td><p>0.2</p></td></tr><tr><td><p><strong>Kernels</strong></p></td><td><p>Hv40, Hv72, Bv40</p></td></tr><tr><td><p><strong>Spectral reconstruction</strong></p></td><td><p>Polychromatic T3D</p></td></tr><tr><td><p><strong>Image analysis</strong></p></td><td><p>Coronal MIP with reader-adjustable slab thickness, angulation, and window/level</p></td></tr><tr><td><p><strong>LSA assessment</strong></p></td><td><p>Presence, number, length, and subjective image quality</p></td></tr><tr><td><p><strong>Reference standard</strong></p></td><td><p>DSA, including rotational angiography, AP angiography, and/or 3D cone-beam angiography</p></td></tr></table></div><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Study population</strong></p></td><td><p><strong>159 patients</strong></p></td></tr><tr><td><p><strong>PCCT vs DSA detection, LSA &gt;5 mm</strong></p></td><td><p>Observer 1: <strong>93% vs 85%</strong>, <em>p</em> = 0.62; Observer 2: <strong>78% vs 78%</strong>, <em>p</em> = 1.00</p></td></tr><tr><td><p><strong>PCCT vs EID-CTA detection, LSA &gt;5 mm</strong></p></td><td><p>Observer 1: <strong>93% vs 49%</strong>, <em>p</em> &lt; 0.001; Observer 2: <strong>79% vs 55%</strong>, <em>p</em> = 0.03</p></td></tr><tr><td><p><strong>LSA length &gt;5 mm, PCCT vs DSA</strong></p></td><td><p>Observer 1: <strong>23 [21–29] vs 40 [34–49] mm</strong>, <em>p</em> &lt; 0.001</p></td></tr><tr><td><p><strong>LSA length &gt;5 mm, PCCT vs EID-CTA</strong></p></td><td><p>Observer 1: <strong>23 [19–28] vs 15 [9–22] mm</strong>, <em>p</em> &lt; 0.001</p></td></tr><tr><td><p><strong>Inter-reader reliability</strong></p></td><td><p>Generally poor-to-moderate; PCCT left-hemisphere length ICC <strong>0.610</strong></p></td></tr></table></div><p><strong>Source:</strong><br />
Huijberts I, Wagemans BAJM, Pinckaers FME, Robbe MMQ, van Zwam WH, van Oostenbrugge RJ, Postma AA. <em>Visualisation of lenticulostriate arteries using photon counting detector CT angiography: A retrospective cohort study.</em> <strong>European Journal of Radiology.</strong> 2026;195:112618. doi:10.1016/j.ejrad.2025.112618.</p>]]>
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    <item>
        <title>(2026) Volovici | UHR PCCT pure-lumen imaging for neurosurgical navigation</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/552/2026-volovici-uhr-pcct-pure-lumen-imaging-for-neurosurgical-navigation</link>
        <pubDate>Sun, 11 Oct 2026 09:35:12 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
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        <description><![CDATA[<div><div><p>In this selected pilot cohort of 20 complex neurosurgical cases, UHR PCCT provided additional anatomical information beyond conventional MRI/CT, particularly for arterial anatomy (11/20, 55%), tumor vascular supply (7/20, 35%), venous anatomy (6/20, 30%), and skull-base/orbital/osseous involvement (8/20, 40%). The greatest apparent benefit was in complex skull-base meningiomas and vascular lesions.</p><p></p><p>The technical advantage was the combination of 0.2-mm-class UHR vascular imaging, bone-subtracted pure-lumen reconstructions, spectral imaging, and simultaneous osseous depiction. This allowed visualization of small-caliber vessels, tumor feeders, perforators, venous drainage, vessel encasement/displacement, and hyperostotic or transosseous tumor extension relevant to surgical navigation.</p><p></p><p>These results are explicitly hypothesis-generating rather than evidence of clinical superiority. The cohort was strongly selected—19 of 45 PCCT examinations were excluded because they showed no additional findings—and comparisons were unblinded and not validated systematically against operative or angiographic reference standards. The proposed role is therefore PCCT complementary to MRI, rather than replacing MRI for lesion characterization. </p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS2772529426015274" rel="nofollow noopener ugc" role="button">Access publication</a></p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/7OUOQ9SKWYHK\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:612391,&quot;width&quot;:691,&quot;height&quot;:532,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F7OUOQ9SKWYHK%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1845,&quot;dateInserted&quot;:&quot;2026-10-11T09:29:30+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Fig. 3. </strong>Case #8. Spheno-orbital meningioma. Coronal T1w post-contrast MRI (A), post-contrast CT (B), and pure-lumen reconstruction (C) delineate the lesion, demonstrating clearer differentiation between tumor parenchyma and vascular structures. Sagittal MIP CTA (D) shows extensive intratumoral radial vascularity and underlying hyperostosis (*). 3D reconstructions show tumor vascularization (E) and a hypertrophic middle meningeal artery (F: arrow).</p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/7BEAVENBTISO\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:654311,&quot;width&quot;:1000,&quot;height&quot;:575,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F7BEAVENBTISO%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1847,&quot;dateInserted&quot;:&quot;2026-10-11T09:31:30+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 4. </strong>Case #13. Left fronto-parietal (precentral gyrus) AVM with a large (&gt;4 cm) nidus. DSA (A) demonstrates the AVM nidus with arterial supply from the left ACA and MCA, and superficial venous drainage without deep venous outflow. A 3D reconstruction of contrast-enhanced PCCT (B) depicts the AVM in relation to the surrounding vasculature. Coronal 0.2 mm PCCT reconstruction (C) provides high-resolution and highly detailed delineation of the nidus and adjacent vessels, while a matched 1.6 mm post-contrast MRI reconstruction (D) through the same plane provides cross-modality correlation.</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Intracranial / preoperative neuronavigation</p></td></tr><tr><td><p><strong>Acquisition</strong></p></td><td><p>UHR PCCT angiography ± venography</p></td></tr><tr><td><p><strong>Scan mode</strong></p></td><td><p>Helical, single-tube acquisition</p></td></tr><tr><td><p><strong>Tube voltage</strong></p></td><td><p>120 kV</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>90–145</p></td></tr><tr><td><p><strong>Dose modulation</strong></p></td><td><p>Automatic tube-current modulation, CARE Dose4D</p></td></tr><tr><td><p><strong>CTDIvol [mGy]</strong></p></td><td><p>18.2 mean</p></td></tr><tr><td><p><strong>DLP [mGy·cm]</strong></p></td><td><p>352 mean</p></td></tr><tr><td><p><strong>Rotation time [s]</strong></p></td><td><p>0.25</p></td></tr><tr><td><p><strong>Pitch</strong></p></td><td><p>0.55–0.80</p></td></tr><tr><td><p><strong>Detector collimation</strong></p></td><td><p>0.2 mm (total collimation 24 mm)</p></td></tr><tr><td><p><strong>Slice thickness</strong></p></td><td><p>0.2–0.4 mm</p></td></tr><tr><td><p><strong>Kernels</strong></p></td><td><p>Hv, Hr, Qr (high)</p></td></tr><tr><td><p><strong>Iterative reconstruction</strong></p></td><td><p>Q3–Q4</p></td></tr><tr><td><p><strong>VMI</strong></p></td><td><p>Low-noise/UHR series at 55 keV; spectral display primarily at 40 keV</p></td></tr><tr><td><p><strong>Spectral reconstruction</strong></p></td><td><p>Bone-subtracted angiographic pure-lumen images</p></td></tr><tr><td><p><strong>Contrast</strong></p></td><td><p>Iodixanol 320 mg I/mL</p></td></tr><tr><td><p><strong>Contrast volume</strong></p></td><td><p>80 mL</p></td></tr><tr><td><p><strong>Injection rate</strong></p></td><td><p>5.0 mL/s</p></td></tr><tr><td><p><strong>Saline flush</strong></p></td><td><p>40 mL</p></td></tr><tr><td><p><strong>Bolus triggering</strong></p></td><td><p>Bolus tracking</p></td></tr></table></div><p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Study cohort</strong></p></td><td><p><strong>20 selected cases</strong> from 45 preoperative UHR PCCT examinations; <strong>12/20 meningiomas</strong></p></td></tr><tr><td><p><strong>Additional arterial information</strong></p></td><td><p><strong>11/20 (55%)</strong>, including perforators in <strong>2/20 (10%)</strong></p></td></tr><tr><td><p><strong>Additional tumor vascular supply</strong></p></td><td><p><strong>7/20 (35%)</strong></p></td></tr><tr><td><p><strong>Additional venous information</strong></p></td><td><p><strong>6/20 (30%)</strong></p></td></tr><tr><td><p><strong>Additional skull-base/orbital/osseous information</strong></p></td><td><p><strong>8/20 (40%)</strong></p></td></tr><tr><td><p><strong>Radiation dose</strong></p></td><td><p>PCCT CTA: <strong>CTDIvol 18.2 mGy, DLP 352 mGy·cm</strong> vs institutional standard neuronavigation CT: <strong>50.6 mGy, 1046 mGy·cm</strong></p></td></tr></table></div><p><strong></strong></p><p><strong>Source:</strong><br />
Volovici V, Sadigh Y, Dijkshoorn M, van der Eerden A, Gahrmann R, et al. <em>Pre-operative visualization of cerebral vasculature using photon-counting CT ultra-high resolution pure lumen imaging.</em> <strong>Brain and Spine.</strong> 2026;107451. doi:10.1016/j.bas.2026.107451. </p>]]>
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        <title>A massive primary cerebral ALK-positive anaplastic large cell lymphoma in an adolescent</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/178/a-massive-primary-cerebral-alk-positive-anaplastic-large-cell-lymphoma-in-an-adolescent</link>
        <pubDate>Wed, 31 Dec 2025 08:54:00 +0000</pubDate>
        <category>Case reports</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">178@/zh/discussions</guid>
        <description><![CDATA[<p></p><p></p><h3 data-id="xiangyu-liu-rt-jiaxu-wei-rt-xi-zhao-md-ji-wang-rt">Xiangyu Liu, RT*; Jiaxu Wei, RT*; Xi Zhao, MD**; Ji Wang, RT*</h3><h4 data-id="department-of-radiology-shanghai-jiao-tong-university-school-of-medicine-affiliated-renji-hospital-shanghai-p-r-china-siemens-healthineers-china">* Department of Radiology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, P. R. China** Siemens Healthineers, China</h4><h4 data-id="2025-07-02">2025-07-02</h4><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/AUCYGYL0Z65Q\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:1048661,&quot;width&quot;:1920,&quot;height&quot;:1080,&quot;displaySize&quot;:&quot;medium&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FAUCYGYL0Z65Q%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:706,&quot;dateInserted&quot;:&quot;2025-12-31T08:53:31+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fmarketing.webassets.siemens-healthineers.com%2F11440a768fca84f1%2F8d788971a679%2Fsiemens-healthineers_ALCL_Alpha_Renji_China.pdf" rel="nofollow noopener ugc" role="button">Download pdf</a> </p><p></p><h3 data-id="history">History</h3><p>A 15-year-old male patient, complaining of a growing lump on the right of his forehead over the past 20 days, came to the hospital for a check-up. He was otherwise asymptomatic. His medical history was unremarkable. Physical examination revealed no abnormalities. A contrast-enhanced CT scan was performed with a dual source photon-counting CT (PCCT), NAEOTOM Alpha, using an ultra-high resolution (UHR) scan mode, for assessment.</p><p></p><h3 data-id="diagnosis">Diagnosis</h3><p>CT images showed an expansive frontotemporal mass, measuring 66 mm x 65 mm in size, protruding into the right orbit, the right frontal sinus and subcutaneously. It was also compressing the right lateral ventricle, shifting the cerebral midline and both the anterior cerebral arteries (ACA) leftwards, and the right middle cerebral artery (MCA) backwards, and causing bone erosion of the squamous part of the right temporal bone and posterolateral orbital wall. The mass, homogeneous and slightly hyperdense in the virtual non-contrast (VNC) images, showed uniformed contrast enhancement in the virtual monoenergetic images (VMI) displayed at 55 keV, as well as in the iodine maps, with multiple hyperdense foci inside. Hypodense areas around the mass were seen, suggesting edema. The intraorbital segment of the optic nerve was compressed, however, not invaded. CT findings suspected a meningioma. A MRI was suggested for further assessment, also suspecting a meningioma. A lymphoma was considered in the differential diagnosis, however, there were no typical signs in either CT or MRI.</p><p>Subsequently, the patient underwent surgical removal of the mass. Histologic and immunophenotypic findings revealed an anaplastic large cell lymphoma (ALCL), anaplasticlymphoma-kinase (ALK) positive. The patient recovered well and was discharged two weeks later with scheduled outpatient follow-ups.</p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/7QFIS7J2CCAU\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:868442,&quot;width&quot;:1920,&quot;height&quot;:1080,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F7QFIS7J2CCAU%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:707,&quot;dateInserted&quot;:&quot;2025-12-31T08:53:44+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><em>Fig. 1: Coronal view of a 0.2 mm UHR image (Fig. 1a) shows bone erosion (arrows) of the squamous part of the right temporal bone and the posterolateral orbital wall. 1 mm slices with spectral information are reconstructed from the UHR data to reformat coronal views of a VMI displayed at 55 keV (Fig. 1b), a VNC (Fig. 1c), and an iodine map (Fig. 1d). These images show an expansive frontotemporal mass, homogeneous and slightly hyperdense in VNC, uniformly contrast enhanced in VMI and iodine images, with multiple hyperdense foci inside, protruding into the right orbit and shifting the cerebral midline to the left.</em></p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/VFT6QLGE93F1\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:886813,&quot;width&quot;:1920,&quot;height&quot;:1080,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FVFT6QLGE93F1%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:708,&quot;dateInserted&quot;:&quot;2025-12-31T08:53:47+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><em>Fig. 2: Oblique MPR images show the tumor protruding into the right frontal sinus and the right orbit, compressing the intraorbital segment of the optic nerve. The fine separation (arrows) between the tumor edge and optic nerve is better seen in 0.2 mm UHR image (Fig. 2a) and in VMI displayed at 55 keV (Fig. 2b), in comparison to a VMI displayed at 70 keV (Fig. 2c) corresponding to an image acquired at 120 kV in standard scan.</em></p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/AN2192NQ1W0B\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:1366047,&quot;width&quot;:1920,&quot;height&quot;:1080,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FAN2192NQ1W0B%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:709,&quot;dateInserted&quot;:&quot;2025-12-31T08:53:54+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><em>Fig. 3: cVRT images, reconstructed using 0.2 mm UHR slices, show bone erosion of the squamous part of the right temporal bone and the posterolateral orbital wall (Fig. 3a, arrows), the extracranial (Fig. 3b) and intracranial (Fig. 3c) feeding arteries (arrowheads) to the tumor in detail. Both ACA are shifted leftwards and the right MCA is shifted backwards.</em></p><p></p><h3 data-id="comments">Comments</h3><p>Primary ALCLs, occurring in the central nervous system (CNS), are extremely rare. They tend to occur in children and young adults, predominantly male patients, with a prognosis correlated with ALK positivity. A favorable course has been exhibited in younger patients with ALK-positive ALCL. As the imaging characteristics are atypical, diagnosis and differential diagnosis are difficult with traditional imaging alone, especially when the tumor is massive and invasive, such as in this case.</p><p>A unique combination of high spatial resolution and spectral information, provided by PCCT, is helpful in visualizing the detailed cerebral, vascular and bony structures using the image data acquired from one UHR scan. The VMI of the cerebrum are routinely set to be displayed at a low keV level (55 keV) allowing for enhanced contrast. VNC images can be displayed with one mouse click, without having to perform a native scan. In daily practice, these different image types – VMI, VNC and iodine – can be interactively toggled, using Interactive Spectral Imaging (ISI) technique available in image reading. In UHR mode, small sub-pixels are defined by electric fields, instead of physical separations, and are read out separately to increase the spatial resolution. This approach improves the geometrical dose efficiency of the detector to enable UHR imaging without radiation dose penalty. In addition, PCCT optimizes the contrast-to-noise ratio (CNR) with a combination of missing down-weighting of the lower energy X-ray photons, the absence of the electronic noise and the inherent spectral information. A practical example is that the UHR images, acquired and reconstructed at 0.2 mm slice width, can be used to create lifelike three-dimensional images with cinematic volume rendering technique (cVRT). In this very rare case, although diagnosis based on imaging differs from histologic and immunophenotypic results, the detailed visualization and demonstration help the neurosurgeons understand the complexity of the case prior to surgical planning.</p><p></p><h3 data-id="examination-protocol">Examination Protocol</h3><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Scanner</strong></p></th><th><p>NAEOTOM Alpha </p></th></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Head</p></td></tr><tr><td><p><strong>Scan mode</strong></p></td><td><p>UHR mode (Quantum HD)Arterial / venous phase</p></td></tr><tr><td><p><strong>Scan length</strong></p></td><td><p>194.6 mm</p></td></tr><tr><td><p><strong>Scan direction</strong></p></td><td><p>Caudo-cranial</p></td></tr><tr><td><p><strong>Scan time</strong></p></td><td><p>2.4 s</p></td></tr><tr><td><p><strong>Tube voltage</strong></p></td><td><p>140 kV</p></td></tr><tr><td><p><strong>Effective mAs</strong></p></td><td><p>100 mAs</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>125</p></td></tr><tr><td><p><strong>Dose modulation</strong></p></td><td><p>CARE Dose4D</p></td></tr><tr><td><p><strong>CTDIvol</strong></p></td><td><p>24.3 mGy</p></td></tr><tr><td><p><strong>DLP</strong></p></td><td><p>526 mGy*cm</p></td></tr><tr><td><p><strong>Rotation time</strong></p></td><td><p>0.25 s</p></td></tr><tr><td><p><strong>Pitch</strong></p></td><td><p>0.85</p></td></tr><tr><td><p><strong>Slice collimation</strong></p></td><td><p>120 x 0.2 mm</p></td></tr><tr><td><p><strong>Slice width</strong></p></td><td><p>0.2 / 1.0 mm</p></td></tr><tr><td><p><strong>Reconstruction increment</strong></p></td><td><p>0.2 / 0.7 mm</p></td></tr><tr><td><p><strong>Reconstruction kernel</strong></p></td><td><p>Hv60 / Qr40, QIR 4</p></td></tr><tr><td><p><strong>KeV level</strong></p></td><td><p>55 keV</p></td></tr><tr><td><p><strong>Spectral reconstruction</strong></p></td><td><p>VMI, iodine, VNC</p></td></tr><tr><td><p><strong>Contrast</strong></p></td><td><p>350 mg/mL</p></td></tr><tr><td><p><strong>Volume</strong></p></td><td><p>45 mL + 40 mL saline</p></td></tr><tr><td><p><strong>Flow rate</strong></p></td><td><p>5 mL/s</p></td></tr><tr><td><p><strong>Start delay</strong></p></td><td><p>1, Arterial phase: scan manuallytriggered when contrast agent appearedin the carotid artery at C4 level.2, Venous phase: end of the arterialphase + 8 s.</p></td></tr></table></div>]]>
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        <title>(2026) Nishii | Optimization of the kernel for temporal bone imaging in PCCT</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/553/2026-nishii-optimization-of-the-kernel-for-temporal-bone-imaging-in-pcct</link>
        <pubDate>Mon, 12 Oct 2026 10:00:12 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">553@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>This study combined physical phantom testing of 11 UHR reconstruction kernels (Hr60–Hr98) with clinical visual assessment in 12 patients / 24 temporal bones. Physically, increasing kernel sharpness improved spatial resolution but increased high-frequency noise: Hr96 achieved the highest measured resolution, whereas Hr60 produced the lowest noise.</p><p></p><p>The objective system-performance analysis favored Hr72 as the best resolution–noise compromise. However, expert visual assessment of Hr60, Hr72, Hr76, and Hr84 consistently favored Hr76, particularly for visualization of the cochlea and fine middle-ear anatomy; Hr60 performed worst despite its low noise.</p><p></p><p>The practical message is that maximum sharpness is not equivalent to maximum diagnostic image quality. For UHR temporal-bone PCCT at 0.2-mm reconstruction, Hr76 appears to provide the most useful clinical balance, while Hr72 remains a reasonable slightly smoother alternative.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1078817425004183" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/1KE708GL0E0K\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:400007,&quot;width&quot;:1000,&quot;height&quot;:575,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F1KE708GL0E0K%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1848,&quot;dateInserted&quot;:&quot;2026-10-11T09:39:02+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 5. </strong>Typical CT images used to evaluate the incudomalleolar joint. (a), (b), (c), and (d) correspond to the images reconstructed using Hr60, Hr72, Hr76, and Hr84, respectively. Sharper kernels enhanced the visualization of fine structures.</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Temporal bone</p></td></tr><tr><td><p><strong>Acquisition mode</strong></p></td><td><p>Quantum HD (UHR)</p></td></tr><tr><td><p><strong>Tube voltage [kV]</strong></p></td><td><p>120</p></td></tr><tr><td><p><strong>Effective mAs</strong></p></td><td><p>Phantom: 305; </p><p>clinical cohort: 266.1 ± 18.1</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>Clinical cohort: 280</p></td></tr><tr><td><p><strong>Dose modulation</strong></p></td><td><p>Automatic exposure control</p></td></tr><tr><td><p><strong>CTDIvol [mGy]</strong></p></td><td><p>Phantom: ~52; </p><p>clinical cohort: 45.63 ± 3.11</p></td></tr><tr><td><p><strong>Rotation time [s]</strong></p></td><td><p>Phantom: 0.50</p></td></tr><tr><td><p><strong>Pitch</strong></p></td><td><p>Phantom: 0.55</p></td></tr><tr><td><p><strong>Detector slice collimation</strong></p></td><td><p>120 × 0.2 mm</p></td></tr><tr><td><p><strong>FOV [mm]</strong></p></td><td><p>Phantom: 100 × 100</p></td></tr><tr><td><p><strong>Matrix</strong></p></td><td><p>512 × 512</p></td></tr><tr><td><p><strong>Slice thickness</strong></p></td><td><p>0.2 mm</p></td></tr><tr><td><p><strong>Reconstruction increment</strong></p></td><td><p>0.2 mm</p></td></tr><tr><td><p><strong>Iterative reconstruction</strong></p></td><td><p>QIR 1 (to preserve high-frequency information)</p></td></tr><tr><td><p><strong>Spectral reconstruction</strong></p></td><td><p>T3D polychromatic images</p></td></tr><tr><td><p><strong>Kernels physically tested</strong></p></td><td><p>Hr60, Hr64, Hr68, Hr72, Hr76, Hr80, Hr84, Hr89, Hr92, Hr96, Hr98</p></td></tr><tr><td><p><strong>Kernels visually tested</strong></p></td><td><p>Hr60, Hr72, Hr76, Hr84</p></td></tr><tr><td><p><strong>Clinical evaluation structures</strong></p></td><td><p>Stapes footplate, cochlea, incudomalleolar joint, overall image quality</p></td></tr><tr><td><p><strong>Clinical image review</strong></p></td><td><p>24 bilateral temporal-bone image sets; 2 radiologists</p></td></tr></table></div><p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Highest spatial resolution</strong></p></td><td><p><strong>Hr96</strong>, 10% TTF <strong>2.712 cycles/mm</strong></p></td></tr><tr><td><p><strong>Lowest image noise</strong></p></td><td><p><strong>Hr60</strong></p></td></tr><tr><td><p><strong>Best physical resolution–noise balance</strong></p></td><td><p><strong>Hr72</strong>, highest SPF</p></td></tr><tr><td><p><strong>Best visually rated kernel</strong></p></td><td><p><strong>Hr76</strong> overall</p></td></tr><tr><td><p><strong>Cochlea ranking</strong></p></td><td><p>Hr76 ranked highest; significantly better than Hr84</p></td></tr><tr><td><p><strong>Inter-reader agreement</strong></p></td><td><p>ρ <strong>0.634–0.733</strong> for ranking and <strong>0.834–0.939</strong> for Likert ratings</p></td></tr></table></div><p><strong>Source:</strong><br />
Nishii S, Asahara T, Morimitsu Y, Kajisaki S, Akagi N, Honda M, Hayashi H, Sugaya A, Munetomo K, Higaki F, Hiraki T, Iguchi T. <em>Optimization of the reconstruction kernel for temporal bone imaging using photon-counting detector CT: A combined physical and visual evaluation.</em> <strong>Radiography.</strong> 2026;32(2):103274. doi:10.1016/j.radi.2025.103274.</p>]]>
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        <title>(2026) Hyska | Time-resolved PCCT estimates post-TAVI pressure gradients</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/534/2026-hyska-time-resolved-pcct-estimates-post-tavi-pressure-gradients</link>
        <pubDate>Mon, 28 Sep 2026 08:03:04 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">534@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>In 71 post-TAVI PCCT examinations from 63 patients, time-resolved cardiac PCCT enabled calculation of prosthetic-valve hemodynamics from left-ventricular volumetry and direct valve-orifice planimetry. CT-derived mean and maximum transvalvular gradients correlated strongly with echocardiography (ρ = 0.85 for both), while corrected valve area showed a correlation of ρ = 0.73.</p><p></p><p>The most clinically useful parameter was the mean transvalvular gradient (Pmean). Using echocardiographic Pmean ≥20 mmHg as the reference for potential valve dysfunction, PCCT achieved AUC 0.94, sensitivity 88.9%, specificity 88.6%, and overall accuracy 88.7%. The independently derived optimal PCCT cutoff was almost identical at 20.4 mmHg.</p><p></p><p>PCCT-derived Pmean showed much better agreement than Pmax: mean Pmean bias was only 1.6 mmHg, whereas Pmax was systematically higher and showed wider limits of agreement. This suggests that a post-TAVI PCCT already obtained for structural assessment could potentially provide opportunistic functional valve assessment, although the retrospective single-center workflow still requires external validation.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.journalofcardiovascularct.com%2Farticle%2FS1934-5925%2826%2900484-3%2Ffulltext" rel="nofollow noopener ugc" role="button">Access publication</a></p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/CGFSADE94G8J\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:5318603,&quot;width&quot;:3354,&quot;height&quot;:1877,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FCGFSADE94G8J%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1800,&quot;dateInserted&quot;:&quot;2026-09-28T08:01:31+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 1. </strong>Schematic overview of the CT-based workflow for post-TAVI hemodynamic assessment. Time-resolved cardiac CT was used to derive prosthetic valve hemodynamics after TAVI by combining multiphase left-ventricular volumetry, valve orifice area planimetry, quality control for excluding cases with severe mitral regurgitation and hemodynamic modeling of transvalvular flow.</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Cardiac / post-TAVI prosthetic valve</p></td></tr><tr><td><p><strong>Acquisition mode</strong></p></td><td><p>Quantum HD</p></td></tr><tr><td><p><strong>Scan mode</strong></p></td><td><p>Retrospectively ECG-gated spiral</p></td></tr><tr><td><p><strong>Tube voltage [kVp]</strong></p></td><td><p>120</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>60</p></td></tr><tr><td><p><strong>Dose modulation</strong></p></td><td><p>Automatic tube-current modulation; ECG-based modulation at 30–70% RR</p></td></tr><tr><td><p><strong>CTDIvol [mGy]</strong></p></td><td><p>44.1 ± 13.6</p></td></tr><tr><td><p><strong>DLP [mGy·cm]</strong></p></td><td><p>670.0 [476.0–849.5]</p></td></tr><tr><td><p><strong>Effective dose [mSv]</strong></p></td><td><p>17.4 [12.4–22.1]</p></td></tr><tr><td><p><strong>Rotation time [ms]</strong></p></td><td><p>250</p></td></tr><tr><td><p><strong>Detector slice collimation</strong></p></td><td><p>120 × 0.2 mm</p></td></tr><tr><td><p><strong>Temporal reconstruction</strong></p></td><td><p>Full cardiac cycle at 10% RR increments</p></td></tr><tr><td><p><strong>Pressure-curve temporal sampling</strong></p></td><td><p>Resampled to 66 ms</p></td></tr><tr><td><p><strong>Volumetry reconstruction</strong></p></td><td><p>Bv36; 0.8/0.6-mm thickness/increment; </p><p>512 × 512; </p><p>QIR 3</p></td></tr><tr><td><p><strong>Valve-orifice reconstruction</strong></p></td><td><p>BMI-adapted Bv60/Bv64; </p><p>0.2/0.1-mm thickness/increment; </p><p>512 × 512; QIR 4</p></td></tr><tr><td><p><strong>Valve phase</strong></p></td><td><p>Automatically selected best systolic phase</p></td></tr><tr><td><p><strong>Contrast</strong></p></td><td><p>Iodinated contrast, 350–370 mg I/mL</p></td></tr><tr><td><p><strong>Contrast volume</strong></p></td><td><p>75 mL</p></td></tr><tr><td><p><strong>Injection rate</strong></p></td><td><p>3 mL/s</p></td></tr><tr><td><p><strong>Bolus triggering</strong></p></td><td><p>Ascending aorta</p></td></tr><tr><td><p><strong>Post-processing</strong></p></td><td><p>Multiphase LV volumetry + prosthetic-valve orifice planimetry</p></td></tr><tr><td><p><strong>Hemodynamic model</strong></p></td><td><p>Flow/velocity calculation followed by simplified Bernoulli equation</p></td></tr><tr><td><p><strong>Severe mitral regurgitation exclusion</strong></p></td><td><p>CT-derived mitral regurgitation fraction &gt;40%</p></td></tr></table></div><p> </p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Study population</strong></p></td><td><p><strong>71 scans / 63 patients</strong></p></td></tr><tr><td><p><strong>Pmean correlation with TTE</strong></p></td><td><p><strong>ρ = 0.85</strong>, <em>p</em> &lt; 0.001</p></td></tr><tr><td><p><strong>Pmean agreement</strong></p></td><td><p>CT <strong>20.2 [13.4–27.6]</strong> vs TTE <strong>20.0 [16.0–24.5] mmHg</strong>, <em>p</em> = 0.080; </p><p>bias <strong>1.6 mmHg</strong></p></td></tr><tr><td><p><strong>Valve-dysfunction detection</strong></p></td><td><p><strong>AUC 0.94</strong>, sensitivity <strong>88.9%</strong>, specificity <strong>88.6%</strong>, accuracy <strong>88.7%</strong></p></td></tr><tr><td><p><strong>Optimal PCCT Pmean cutoff</strong></p></td><td><p><strong>20.4 mmHg</strong></p></td></tr><tr><td><p><strong>Longitudinal follow-up</strong></p></td><td><p>Pmean change correlated with TTE (<strong>ρ = 0.80</strong>); all <strong>8/8</strong> paired follow-ups concordantly classified around the 20-mmHg threshold</p></td></tr></table></div><p> </p><p><strong>Source:</strong><br />
Hyska S, Osoria-Velasquez J, Hagar MT, et al. <em>Photon-counting detector CT for prediction of valve dysfunction after transcatheter aortic valve implantation: Comparison with echocardiography.</em> <strong>Journal of Cardiovascular Computed Tomography.</strong> Articles in Press. Published September 18, 2026.</p>]]>
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        <title>(2025) Mark | PCCT for Cushing Disease: Lesion localization, intraoperative findings, and outcomes</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/528/2025-mark-pcct-for-cushing-disease-lesion-localization-intraoperative-findings-and-outcomes</link>
        <pubDate>Wed, 23 Sep 2026 08:17:26 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">528@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>In 25 consecutive patients with Cushing disease undergoing transsphenoidal surgery, dynamic pituitary PCCT localized corticotroph adenomas substantially more accurately than preoperative MRI: 92% vs 56%, respectively (p = .01). PCCT identified a lesion in 24/25 patients, with only one misleading localization. </p><p></p><p>The gain was particularly relevant in MRI-negative or misleading cases. Imaging-guided targeted resection was used in 20/25 patients, and in 6 cases the surgical target relied solely on PCCT, potentially avoiding wider gland exploration or subtotal resection. </p><p></p><p>Clinical outcomes were encouraging: 84% remained in biochemical remission at a mean 5.8-month follow-up, with no new panhypopituitarism or central diabetes insipidus reported. However, this was a small, retrospective, nonblinded single-center study, so PCCT should currently be viewed as complementary to MRI rather than a replacement.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.ajnr.org%2Fcontent%2F46%2F12%2F2610" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/9CBV0QWR7OKV\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:733512,&quot;width&quot;:1000,&quot;height&quot;:575,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F9CBV0QWR7OKV%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1758,&quot;dateInserted&quot;:&quot;2026-09-23T08:14:45+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 3. </strong>llustrative case 2. Dynamic (<em>A</em>) and delayed (<em>B</em> and <em>C</em>) contrast-enhanced T1-weighted images at 3T demonstrate a hypoenhancing lesion in the left pituitary (<em>blue arrows</em>). This area is more conspicuous on color-coded iodine maps from the PCD-CT (<em>D–F</em>, <em>white arrows</em>).</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Skull base / pituitary gland</p></td></tr><tr><td><p><strong>Acquisition protocol</strong></p></td><td><p>Triggered skull base CTA followed by 4–6 delayed sellar acquisitions</p></td></tr><tr><td><p><strong>Delayed acquisition interval</strong></p></td><td><p>20 s</p></td></tr><tr><td><p><strong>Tube voltage [kV]</strong></p></td><td><p>120</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>230 for CTA</p></td></tr><tr><td><p><strong>Effective mAs</strong></p></td><td><p>130–200 for delayed sellar scans</p></td></tr><tr><td><p><strong>CTDIvol [mGy]</strong></p></td><td><p>CTA: 27.2–43.5; </p><p>delayed sellar scans: 22.2–34.3</p></td></tr><tr><td><p><strong>Detector configuration</strong></p></td><td><p>120 × 0.2 mm</p></td></tr><tr><td><p><strong>Reconstruction slice thickness [mm]</strong></p></td><td><p>0.6 and 0.2</p></td></tr><tr><td><p><strong>Kernel</strong></p></td><td><p>Hr40</p></td></tr><tr><td><p><strong>Iterative reconstruction</strong></p></td><td><p>QIR 3</p></td></tr><tr><td><p><strong>0.6-mm reconstruction</strong></p></td><td><p>66-keV VMI</p></td></tr><tr><td><p><strong>0.2-mm reconstruction</strong></p></td><td><p>T3D, low-energy threshold</p></td></tr><tr><td><p><strong>Iodine maps</strong></p></td><td><p>Qr40, 0.4-mm slice thickness</p></td></tr><tr><td><p><strong>Contrast</strong></p></td><td><p>Iohexol 350</p></td></tr><tr><td><p><strong>Contrast volume</strong></p></td><td><p>100 mL</p></td></tr><tr><td><p><strong>Injection rate</strong></p></td><td><p>4 mL/s</p></td></tr><tr><td><p><strong>Saline flush</strong></p></td><td><p>35 mL for patients &lt;136 kg</p></td></tr><tr><td><p><strong>Bolus trigger</strong></p></td><td><p>Ascending aorta, 175 HU at 90 kV</p></td></tr><tr><td><p><strong>Image review</strong></p></td><td><p>Visage PACS with color-coded display</p></td></tr></table></div><p></p><p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Study population</strong></p></td><td><p><strong>25 patients</strong> with surgically treated Cushing disease</p></td></tr><tr><td><p><strong>MRI localization accuracy</strong></p></td><td><p><strong>56%</strong></p></td></tr><tr><td><p><strong>PCCT localization accuracy</strong></p></td><td><p><strong>92%</strong>, <em>p</em> = .01 vs MRI</p></td></tr><tr><td><p><strong>PCCT lesion detection</strong></p></td><td><p><strong>24/25 (96%)</strong>; 1 misleading localization</p></td></tr><tr><td><p><strong>Targeted surgery</strong></p></td><td><p><strong>20/25 (80%)</strong>; 6 relied solely on PCCT localization</p></td></tr><tr><td><p><strong>Remission at follow-up</strong></p></td><td><p><strong>84%</strong> at mean 5.8 months</p></td></tr></table></div><p></p><p><strong>Source:</strong><br />
Mark IT, Michalopoulos G, Van Gompel J, Peris Celda M, Bancos I, Donegan D, Gruber L, Erickson D, Nagelschneider A, Yu L. <em>Pituitary Photon-Counting Detector CT for Cushing Disease: Preoperative Lesion Localization, Intraoperative Findings, and Postoperative Outcomes.</em> <strong>American Journal of Neuroradiology.</strong> 2025;46(12):2610–2616. doi:10.3174/ajnr.A8893. </p>]]>
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        <title>(2023) van der Bie | PCCT for TAVR planning and follow-up</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/518/2023-van-der-bie-pcct-for-tavr-planning-and-follow-up</link>
        <pubDate>Fri, 04 Sep 2026 06:28:26 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">518@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>This early case series illustrates how <strong>UHR PCCT can improve structural heart imaging before and after TAVR</strong>, particularly through sharper depiction of the aortic valve, annulus, coronary arteries, prosthetic valve frames, and vascular access routes. UHR acquisition allows <strong>0.2-mm sections</strong>, compared with 0.4 mm in the regular PCCT mode, helping reduce calcium and metal blooming.</p><p></p><p>In pre-TAVR imaging, sharper reconstruction improved visualization of heavily calcified coronary arteries and <strong>IMAR substantially improved femoral-artery assessment despite bilateral hip prostheses</strong>. Post-TAVR, PCCT depicted hypoattenuating leaflet thickening, valve-in-valve anatomy, and an incompletely expanded left-main stent with an assessable lumen despite substantial surrounding metal and calcium.</p><p></p><p>The spectral capabilities add information beyond spatial resolution: <strong>VMI, virtual noncontrast, and iodine maps</strong> helped characterize leaflet abnormalities and distinguish iodine from calcification. These are promising proof-of-concept applications, but the report is a small case series rather than a comparative diagnostic-accuracy study. </p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fpubs.rsna.org%2Fdoi%2F10.1148%2Fryct.220318" rel="nofollow noopener ugc" role="button">Access publication</a></p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/KIY54GCOCYGQ\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:474860,&quot;width&quot;:1000,&quot;height&quot;:575,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FKIY54GCOCYGQ%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1730,&quot;dateInserted&quot;:&quot;2026-09-04T06:27:51+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 2</strong>: Photon-counting detector CT scan for pre–transcatheter aortic valve replacement planning in an 81-year-old female patient (with contrast material). <strong>(A)</strong> Electrocardiogram shows a highly irregular heart rate was present at the time of scanning. <strong>(B)</strong> Contrast-enhanced visualization of the aortic annulus and native aortic valve in the sagittal plane with sharp delineation of the leaflets and a small calcification in the nodule of Arantius (white arrow). <strong>(C)</strong> Ultra-high-resolution image shows the coronary arteries (Bv56 kernel, multiplanar reformatted image). <strong>(D)</strong> Conventional reconstructions at 0.6-mm section thickness (Bv40 kernel) for comparison (multiplanar reformatted image). <strong>(E, F)</strong> Axial reconstructions at the level of the femoral arteries (arrows) without <strong>(E)</strong> and with <strong>(F)</strong> iterative metal artifact reduction (IMAR) reconstruction. QIR = quantitative iterative reconstruction. </p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha, dual-source PCCT</p></td></tr><tr><td><p><strong>Regular detector configuration</strong></p></td><td><p>144 × 0.4 mm</p></td></tr><tr><td><p><strong>UHR detector configuration</strong></p></td><td><p>120 × 0.2 mm</p></td></tr><tr><td><p><strong>UHR section thickness</strong></p></td><td><p>0.2 mm</p></td></tr><tr><td><p><strong>Pre-TAVR cardiac acquisition, Case 2</strong></p></td><td><p>Prospectively ECG-triggered UHR CTA, 15–53% RR</p></td></tr><tr><td><p><strong>Tube voltage, Case 2 [kVp]</strong></p></td><td><p>120</p></td></tr><tr><td><p><strong>IQ level, Case 2</strong></p></td><td><p>43</p></td></tr><tr><td><p><strong>CTDIvol, Case 2 cardiac [mGy]</strong></p></td><td><p>26.8</p></td></tr><tr><td><p><strong>Access-route acquisition, Case 2</strong></p></td><td><p>High-pitch skull base to groin, 0.4-mm sections</p></td></tr><tr><td><p><strong>Access-route IQ level</strong></p></td><td><p>41</p></td></tr><tr><td><p><strong>Access-route CTDIvol [mGy]</strong></p></td><td><p>2.45</p></td></tr><tr><td><p><strong>Coronary UHR kernel, Case 2</strong></p></td><td><p>Bv56</p></td></tr><tr><td><p><strong>Comparator reconstruction, Case 2</strong></p></td><td><p>Bv40, 0.6-mm sections</p></td></tr><tr><td><p><strong>Metal artifact reduction</strong></p></td><td><p>IMAR for vascular access assessment</p></td></tr><tr><td><p><strong>Post-TAVR acquisition, Case 3</strong></p></td><td><p>120 kV; IQ 50; CTDIvol 15.2 mGy</p></td></tr><tr><td><p><strong>Spectral post-processing, Case 3</strong></p></td><td><p>VMI, virtual noncontrast, iodine map, fused iodine/VNC</p></td></tr><tr><td><p><strong>Post-TAVR acquisition, Case 4</strong></p></td><td><p>Retrospective ECG-gated UHR; 120 kV; IQ 60; CTDIvol 58 mGy</p></td></tr><tr><td><p><strong>Valve-in-valve acquisition, Case 5</strong></p></td><td><p>Full-cycle retrospective ECG-gated UHR; 120 kV; IQ 65; CTDIvol 61.5 mGy</p></td></tr><tr><td><p><strong>Valve-in-valve reconstruction</strong></p></td><td><p>Bv56; QIR 4</p></td></tr><tr><td><p><strong>Ex vivo valve acquisition</strong></p></td><td><p>UHR, 140 kV</p></td></tr><tr><td><p><strong>Ex vivo reconstruction</strong></p></td><td><p>Qr89/Qr76; QIR 4</p></td></tr></table></div><p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Spatial resolution</strong></p></td><td><p>UHR PCCT enabled <strong>0.2-mm</strong> sections vs <strong>0.4 mm</strong> in regular PCCT mode</p></td></tr><tr><td><p><strong>Pre-TAVR coronary imaging</strong></p></td><td><p>Bv56 UHR reconstruction reduced calcium blooming compared with 0.6-mm Bv40</p></td></tr><tr><td><p><strong>Access-route assessment</strong></p></td><td><p>IMAR improved femoral-artery visualization despite bilateral hip prostheses</p></td></tr><tr><td><p><strong>Leaflet assessment</strong></p></td><td><p>PCCT demonstrated hypoattenuating leaflet thickening after TAVR and valve-in-valve TAVR</p></td></tr><tr><td><p><strong>Coronary stent assessment</strong></p></td><td><p>Left-main stent lumen remained assessable; incomplete expansion from adjacent calcification was visualized</p></td></tr><tr><td><p><strong>Spectral imaging</strong></p></td><td><p>VMI, VNC, and iodine maps provided additional characterization of valve leaflets and calcification</p></td></tr></table></div><p></p><p><strong>Source:</strong><br />
van der Bie J, Sharma SP, van Straten M, Bos D, Hirsch A, Dijkshoorn ML, Adrichem R, van Mieghem NMDA, Budde RPJ. <em>Photon-counting Detector CT in Patients Pre- and Post-Transcatheter Aortic Valve Replacement.</em> <strong>Radiology: Cardiothoracic Imaging.</strong> 2023;5(2). doi:10.1148/ryct.220318. </p>]]>
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        <title>(2024) Qin | Improvement of coronary stent visualization using UHR PCCT</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/516/2024-qin-improvement-of-coronary-stent-visualization-using-uhr-pcct</link>
        <pubDate>Fri, 04 Sep 2026 06:20:43 +0000</pubDate>
        <category>Scientific publications</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">516@/zh/discussions</guid>
        <description><![CDATA[<p></p><div><div><p>In 69 patients with 131 coronary stents, UHR PCCT with 0.2-mm slices significantly improved in-stent lumen visualization and reduced blooming artifacts compared with standard-resolution 0.6-mm reconstruction.</p><p></p><p>Among the evaluated reconstruction kernels, Bv72 provided the best overall performance, improving visualization of the stent lumen and struts while maintaining sufficient image quality for assessment.</p><p></p><p>The improved spatial resolution translated into better diagnostic performance: accuracy for detecting in-stent restenosis increased from 78.3% with standard-resolution PCCT to 88.0% with UHR-Bv72.</p><p></p><p>Clinical takeaway: UHR PCCT can mitigate blooming from metallic stent struts and may improve the reliability of non-invasive coronary stent assessment, particularly when combined with an optimized sharp reconstruction kernel.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs00330-024-10760-1" rel="nofollow noopener ugc" role="button">Access publication</a></p><p></p><p><strong>Source:</strong> Qin L, <em>et al.</em> <em>Improvement of coronary stent visualization using ultra-high-resolution photon-counting detector CT.</em> 2024.</p>]]>
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        <title>(2023) Vattay | VMI energy substantially alters PCCT coronary plaque quantification</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/509/2023-vattay-vmi-energy-substantially-alters-pcct-coronary-plaque-quantification</link>
        <pubDate>Wed, 02 Sep 2026 11:20:19 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">509@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>In 51 patients with 51 coronary plaques, PCCT VMI energy had a substantial effect on measured plaque attenuation and consequently on quantitative plaque composition when fixed HU thresholds were used. Mean plaque attenuation fell progressively from 723 ± 501 HU at 40 keV to 120 ± 112 HU at 180 keV, while 70-keV VMI most closely reproduced the 120-kVp T3D reference attenuation.</p><p><br />
The effect differed by plaque component. With the primary threshold method, calcified plaque volume decreased from 138.7 ± 126.4 mm³ at 40 keV to 38.5 ± 64.6 mm³ at 180 keV, whereas low-attenuation plaque increased from 22.8 ± 24.9 to 96.0 ± 76.3 mm³. Thus, a plaque can appear quantitatively very different solely because the VMI energy changes.</p><p><br />
Low-keV images provided the highest CNR and SNR but also more noise. The key practical implication is that fixed plaque-attenuation thresholds developed for conventional images should not simply be transferred across PCCT VMI energies; standardized energy-specific thresholds or normalization strategies are needed for reproducible plaque quantification.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs00330-023-09876-7" rel="nofollow noopener ugc" role="button">Access publication</a></p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/O5MMBK8YZ8FO\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:1232263,&quot;width&quot;:2000,&quot;height&quot;:1150,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FO5MMBK8YZ8FO%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1710,&quot;dateInserted&quot;:&quot;2026-09-02T11:19:17+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure1.</strong> Representative CTA images of coronary plaques reconstructed in T3D and different VMI energy levels (40, 70, 120, and 180 keV). Quantitative plaque analyses of a partially calcified-predominantly non-calcified (panel A) and partially calcified-predominantly calcified (panel B) plaque are shown in T3D and different VMI reconstructions at 40, 70, 120, and 180 keV levels. The red line illustrates the border of the vessel wall and the orange line illustrates the lumen border segmented on T3D images. Corresponding cross-sectional images are also depicted at the point of the maximal narrowing of the lesion. The same window setting was applied for all represented images: window: 800; level: 250. Abbreviations: CP, calcified plaque; HU, Hounsfield unit; LAP, low-attenuation non-calcified plaque; NCP, non-calcified plaque.</p><p></p><h2 data-id="protocol">Protocol</h2><p></p><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Coronary CTA</p></td></tr><tr><td><p><strong>Acquisition mode</strong></p></td><td><p>ECG-triggered PCCT</p></td></tr><tr><td><p><strong>Scan mode</strong></p></td><td><p>TurboFlash high-pitch, sequential, or helical depending on heart rate/rhythm</p></td></tr><tr><td><p><strong>Tube voltage [kV]</strong></p></td><td><p>120</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>80</p></td></tr><tr><td><p><strong>Dose modulation</strong></p></td><td><p>Automatic tube current modulation</p></td></tr><tr><td><p><strong>Rotation time [s]</strong></p></td><td><p>0.25</p></td></tr><tr><td><p><strong>Detector configuration</strong></p></td><td><p>144 × 0.4 mm</p></td></tr><tr><td><p><strong>Slice thickness [mm]</strong></p></td><td><p>0.4</p></td></tr><tr><td><p><strong>Reconstruction increment [mm]</strong></p></td><td><p>0.4</p></td></tr><tr><td><p><strong>Matrix</strong></p></td><td><p>512 × 512</p></td></tr><tr><td><p><strong>Kernel</strong></p></td><td><p>Bv40</p></td></tr><tr><td><p><strong>Iterative reconstruction</strong></p></td><td><p>QIR 2</p></td></tr><tr><td><p><strong>Reference reconstruction</strong></p></td><td><p>120-kVp polychromatic T3D</p></td></tr><tr><td><p><strong>VMI energies</strong></p></td><td><p>40–180 keV in 10-keV increments</p></td></tr><tr><td><p><strong>ECG phase</strong></p></td><td><p>Diastolic 65–85% RR or systolic 200–400 ms depending on heart rate</p></td></tr><tr><td><p><strong>Contrast volume</strong></p></td><td><p>70–80 mL</p></td></tr><tr><td><p><strong>Injection rate</strong></p></td><td><p>4.5–5.0 mL/s</p></td></tr><tr><td><p><strong>Contrast protocol</strong></p></td><td><p>Four-phasic</p></td></tr><tr><td><p><strong>Heart-rate control</strong></p></td><td><p>IV beta-blocker if HR &gt;65 bpm</p></td></tr><tr><td><p><strong>Vasodilation</strong></p></td><td><p>0.8 mg sublingual nitroglycerin if systolic BP &gt;100 mmHg</p></td></tr><tr><td><p><strong>Plaque analysis software</strong></p></td><td><p>AutoPlaque 2.5</p></td></tr><tr><td><p><strong>Primary plaque thresholds</strong></p></td><td><p>LAP −100 to 30 HU; NCP 30–350 HU; CP &gt;350 HU</p></td></tr></table></div><p></p><p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Study population</strong></p></td><td><p><strong>51 patients / 51 plaques</strong></p></td></tr><tr><td><p><strong>Plaque attenuation</strong></p></td><td><p><strong>723 ± 501 HU at 40 keV → 120 ± 112 HU at 180 keV</strong></p></td></tr><tr><td><p><strong>CNR</strong></p></td><td><p>Highest at <strong>40 keV: 22.1 ± 5.6</strong>; 70 keV similar to T3D</p></td></tr><tr><td><p><strong>Calcified plaque volume</strong></p></td><td><p><strong>138.7 ± 126.4 mm³ at 40 keV → 38.5 ± 64.6 mm³ at 180 keV</strong></p></td></tr><tr><td><p><strong>Low-attenuation plaque volume</strong></p></td><td><p><strong>22.8 ± 24.9 mm³ at 40 keV → 96.0 ± 76.3 mm³ at 180 keV</strong></p></td></tr><tr><td><p><strong>Closest VMI to T3D</strong></p></td><td><p><strong>70 keV</strong> for overall attenuation/CP; <strong>50 keV</strong> for LAP with primary thresholds</p></td></tr></table></div><p></p><p><strong>Source:</strong><br />
Vattay B, Szilveszter B, Boussoussou M, Vecsey-Nagy M, Lin A, Konkoly G, Kubovje A, Schwarz F, Merkely B, Maurovich-Horvat P, Williams MC, Dey D, Kolossváry M. <em>Impact of virtual monoenergetic levels on coronary plaque volume components using photon-counting computed tomography.</em> <strong>European Radiology.</strong> 2023;33:8528–8539. doi:10.1007/s00330-023-09876-7.</p>]]>
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        <title>(2026) Tateishi | PCCT depicts a ventricular tachycardia substrate</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/507/2026-tateishi-pcct-depicts-a-ventricular-tachycardia-substrate</link>
        <pubDate>Tue, 01 Sep 2026 15:01:37 +0000</pubDate>
        <category>Case reports</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">507@/zh/discussions</guid>
        <description><![CDATA[<p>The case report hase been published by:</p><p>Tateishi, R, Nishimura, T, Tao, S. et al. Photon-Counting Detector Computed Tomography Depicts a Ventricular Tachycardia Substrate: Periaortic Septal Intramural Late Iodine Enhancement. <em>J Am Coll Cardiol Case Rep. </em>2026 Apr, 31 (15) . <a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fdoi.org%2F10.1016%2Fj.jaccas.2026.107250" rel="nofollow noopener ugc">https://doi.org/10.1016/j.jaccas.2026.107250</a></p><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.jacc.org%2Fdoi%2Fepdf%2F10.1016%2Fj.jaccas.2026.107250" rel="nofollow noopener ugc" role="button">Check pdf</a></p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/7M2O396VPAQ2\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:5100393,&quot;width&quot;:3249,&quot;height&quot;:2003,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F7M2O396VPAQ2%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1708,&quot;dateInserted&quot;:&quot;2026-09-01T15:00:12+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Visual Summary</strong> Spatial Relationship Between LIE on PCD-CT and Arrhythmogenic Substrate(A) Preprocedural photon-counting detector computed tomography image and three-dimensional visualization using ADAS 3D software. The red arrow indicates late iodine enhancement. (B) Isochronal late activation map. Lines of conduction block with split potentials (yellow arrows) were observed in the RVOT and periaortic septal region of the LVOT, spatially corresponding to the edge of the late iodine enhancement area. Ao = aorta; LIE = late iodine enhancement; LV = left ventricle; LVOT = left ventricular outflow tract; RV = right ventricle; RVOT = right ventricular outflow tract; PA = pulmonary artery; PCD-CT = photon-counting detector computed tomography.</p><p></p><h3 data-id="background">Background</h3><p>Recent studies have demonstrated that delayed enhancement using contrast-enhanced computed tomography corresponds with late gadolinium enhancement on cardiac magnetic resonance imaging. However, few studies have evaluated scar-related ventricular tachycardia (VT) substrates using high-resolution photon-counting detector computed tomography (PCCT).</p><h3 data-id="case-summary">Case Summary</h3><p>A 49-year-old man with cardiac sarcoidosis underwent catheter ablation of monomorphic VT. Preoperative iodine mapping on PCD-CT showed late iodine enhancement (LIE) localized to the septal region between the periaortic region and right ventricular outflow tract. Electroanatomic mapping revealed a localized abnormal voltage area and line of conduction block with split potentials colocalized with the LIE. Radiofrequency ablation was performed from both the right and left ventricular outflow tracts and successfully eliminated the VT inducibility. No ICD shocks have occurred after the procedure.</p><h3 data-id="discussion">Discussion</h3><p>PCD-CT provides improved signal detection and superior spatial resolution, enabling visualization of VT substrates in anatomically challenging regions. In patients who are contraindicated for cardiac magnetic resonance imaging, PCD-CT serves as a valuable alternative imaging modality.</p><p></p><h2 data-id="take-home-messages">Take-Home Messages</h2><p>The higher spatial resolution of PCD-CT enables a more precise detection of periaortic substrates, whereas detecting late gadolinium enhancement on cardiac magnetic resonance imaging is challenging given a thin myocardium and anatomical complexity.<strong>•</strong>Because PCD-CT does not have the same restrictions as cardiac magnetic resonance imaging, it can be used in patients with non–MRI-conditional implantable cardioverter-defibrillators to accurately identify and locate ventricular tachycardia substrates.</p>]]>
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        <title>(2024) Hagar | UHR PCCT accurately evaluates coronary stent patency</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/504/2024-hagar-uhr-pcct-accurately-evaluates-coronary-stent-patency</link>
        <pubDate>Fri, 28 Aug 2026 11:00:01 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">504@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>In 18 patients with 44 coronary stents, ultra-high-resolution (UHR) PCCT angiography achieved high diagnostic accuracy for detecting ≥50% in-stent stenosis compared with invasive coronary angiography (ICA). Both readers identified all 5 stenotic stents, yielding 100% sensitivity.</p><p></p><p>Specificity and overall accuracy were 92.3% and 93.2% for reader 1 and 87.2% and 88.6% for reader 2. Most importantly, the negative predictive value was 100% for both readers, supporting UHR PCCT as a strong noninvasive technique for ruling out clinically relevant in-stent restenosis.</p><p></p><p>Stent-lumen image quality was generally good to excellent, with only 3/44 stents considered nondiagnostic by both readers. Despite residual stent blooming of approximately 38–40%, the 0.2-mm reconstruction with a sharp Bv60 kernel provided sufficient lumen visualization for reliable clinical assessment in more than 90% of stents.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs00330-023-10516-3" rel="nofollow noopener ugc" role="button">Access publication</a></p><p></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/TFTINO5MWQAV\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:2596207,&quot;width&quot;:1990,&quot;height&quot;:1090,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FTFTINO5MWQAV%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1681,&quot;dateInserted&quot;:&quot;2026-08-28T10:58:38+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 4. </strong>Ultra-high-resolution photon-counting detector CT angiography (PCD-CTA) of the heart of a 69-year-old male patient with severe aortic valve stenosis and a history of coronary stent implantation in the distal left main and proximal left anterior descending artery (LAD) (arrowhead in <strong>A</strong>, <strong>B</strong>, and <strong>C</strong>). <strong>A</strong> Three-dimensional cinematic rendering of the heart, showing the stent in the LAD. <strong>B</strong> Curved multiplanar reformation showing the absence of in-stent stenosis. The stent was rated as “excellent”—Likert 1 by one reader—and as “good”—Likert 2 by the other reader. <strong>C</strong> Invasive coronary angiography at caudal 30° view, verifying stent patency</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Software</strong></p></td><td><p>syngo CT VA50; syngo.via VB60</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Coronary arteries as part of TAVI-CT</p></td></tr><tr><td><p><strong>Scan mode</strong></p></td><td><p>Ultra-high resolution</p></td></tr><tr><td><p><strong>Acquisition mode</strong></p></td><td><p>ECG-synchronized UHR PCCT angiography</p></td></tr><tr><td><p><strong>Detector slice collimation</strong></p></td><td><p>120 × 0.2 mm</p></td></tr><tr><td><p><strong>Matrix</strong></p></td><td><p>1024 × 1024</p></td></tr><tr><td><p><strong>Field of view [mm]</strong></p></td><td><p>180 × 180</p></td></tr><tr><td><p><strong>Slice thickness [mm]</strong></p></td><td><p>0.2</p></td></tr><tr><td><p><strong>Reconstruction increment [mm]</strong></p></td><td><p>0.1</p></td></tr><tr><td><p><strong>Reconstruction kernel</strong></p></td><td><p>Bv60</p></td></tr><tr><td><p><strong>Iterative reconstruction</strong></p></td><td><p>QIR 3</p></td></tr><tr><td><p><strong>ECG reconstruction</strong></p></td><td><p>Automatically selected best-systolic and best-diastolic phases plus multiphase data</p></td></tr><tr><td><p><strong>Contrast agent</strong></p></td><td><p>Iopromide, Ultravist 370</p></td></tr><tr><td><p><strong>Contrast protocol</strong></p></td><td><p>70 mL contrast followed by 40 mL isotonic saline + 30 mL contrast mixture</p></td></tr><tr><td><p><strong>Injection rate</strong></p></td><td><p>5.0 mL/s</p></td></tr><tr><td><p><strong>Bolus triggering</strong></p></td><td><p>Aortic root, 130-HU threshold</p></td></tr><tr><td><p><strong>Trigger delay</strong></p></td><td><p>10 s</p></td></tr><tr><td><p><strong>Patient preparation</strong></p></td><td><p>No nitroglycerin or beta-blockers administered</p></td></tr></table></div><p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Study population</strong></p></td><td><p><strong>18 patients / 44 coronary stents</strong></p></td></tr><tr><td><p><strong>In-stent stenosis prevalence</strong></p></td><td><p><strong>5/44 (11.4%)</strong></p></td></tr><tr><td><p><strong>Sensitivity</strong></p></td><td><p><strong>100%</strong> for both readers</p></td></tr><tr><td><p><strong>Specificity</strong></p></td><td><p><strong>92.3%</strong> reader 1; <strong>87.2%</strong> reader 2</p></td></tr><tr><td><p><strong>Diagnostic accuracy</strong></p></td><td><p><strong>93.2%</strong> reader 1; <strong>88.6%</strong> reader 2</p></td></tr><tr><td><p><strong>Negative predictive value</strong></p></td><td><p><strong>100%</strong> for both readers</p></td></tr><tr><td><p><strong>Inter-reader agreement</strong></p></td><td><p><strong>90.1%; κ = 0.72</strong></p></td></tr><tr><td><p><strong>Stent blooming</strong></p></td><td><p><strong>37.9 ± 9.6%</strong> and <strong>40.1 ± 8.9%</strong></p></td></tr></table></div><p></p><p><strong>Source:</strong><br />
Hagar MT, Soschynski M, Saffar R, Molina-Fuentes MF, Weiss J, Rau A, Schuppert C, Ruile P, Faby S, Schibilsky D, von zur Muehlen C, Schlett CL, Bamberg F, Krauss T. <em>Ultra-high-resolution photon-counting detector CT in evaluating coronary stent patency: a comparison to invasive coronary angiography.</em> <strong>European Radiology.</strong> 2024;34:4273–4283. doi:10.1007/s00330-023-10516-3.</p>]]>
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        <title>(2025) Zhang | UHR PCCT versus 40-keV VMI for abdominal artery visualization</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/497/2025-zhang-uhr-pcct-versus-40-kev-vmi-for-abdominal-artery-visualization</link>
        <pubDate>Fri, 28 Aug 2026 10:20:38 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">497@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>This prospective study compared 0.2-mm ultra-high-resolution (UHR) PCCT with 1-mm standard-resolution 40-keV VMI for abdominal CTA in 94 participants, equally divided between full-dose and low-dose protocols. Standard-resolution 40-keV VMI provided significantly higher SNR and CNR than all UHR reconstructions.</p><p><br />
UHR reconstruction nevertheless improved vessel sharpness, particularly with the sharper Bv56 and Bv60 kernels, but the associated increase in image noise reduced overall image quality. The smoother Bv48 UHR reconstruction provided the best balance, with overall quality comparable to standard-resolution 40-keV VMI.</p><p><br />
Importantly, abdominal artery visibility was broadly comparable across full- and low-dose reconstructions. The authors therefore favor 1-mm low-dose 40-keV VMI for routine abdominal CTA, while 0.2-mm UHR Bv48 may be valuable when very thin slices and visualization of distal vascular segments are specifically required.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs10278-024-01232-5" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/F16FLZLMS4P4\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:580375,&quot;width&quot;:1000,&quot;height&quot;:575,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FF16FLZLMS4P4%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1674,&quot;dateInserted&quot;:&quot;2026-08-28T10:19:58+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 5.</strong> Representative example of two participants who both underwent full-dose scan. A A 71-year man with a BMI of 19.7 kg/m2 underwent abdominal CTA using a FD protocol with CTDIvol, DLP, SSDE, and effective dose of 6.23 mGy, 212.0 mGy·cm, 9.06 mGy, and 3.18 mSv, respectively. The data were reconstructed into FD_UHR_Bv48, FD_UHR_Bv56, FD_UHR_Bv60, FD_SR_Bv40 images, respectively. The UHR images have higher image noise, but better vessel sharpness. The overall quality of FD_UHR_Bv48, and FD_SR_Bv40 images are comparable. The FD_UHR_Bv56 and FD_UHR_Bv60 images presented better vessel sharpness than but were damaged by higher image noise. B–D Another 57-year woman with a BMI of 20.8 kg/m.2 underwent abdominal CTA using a FD protocol with CTDIvol, DLP, SSDE, and effective dose of 4.06 mGy, 111.0 mGy·cm, 6.25 mGy, and 1.67 mSv, respectively. The data were reconstructed into FD_UHR_Bv48, and FD_SR_Bv40 images, respectively. B The left gastric artery is only visible in axial FD_UHR_Bv48 images (solid arrow), and the soft tissue between the abdominal aorta and celiac trunk were better depicted (open arrow). C There were more visible vascular segments of left renal artery in coronal FD_UHR_Bv48 images than FD_SR_Bv40 images (solid arrow). D The left renal artery can be better visualized to the more distal vascular segments in volume-rendered FD_UHR_Bv48 images than FD_SR_Bv40 images (solid arrow). The volume-rendered FD_UHR_Bv48 images allowed more visible vascular segments of superior mesenteric artery (open arrow).</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Software</strong></p></td><td><p>Syngo.CT VA50-SP1; syngo.via VB60</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Abdominal CTA</p></td></tr><tr><td><p><strong>Scan mode</strong></p></td><td><p>UHR</p></td></tr><tr><td><p><strong>Acquisition mode</strong></p></td><td><p>PCCT</p></td></tr><tr><td><p><strong>Tube voltage [kV]</strong></p></td><td><p>120</p></td></tr><tr><td><p><strong>Effective mAs [mAs]</strong></p></td><td><p>CARE Dose4D automatic</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>145 full dose; 90 low dose</p></td></tr><tr><td><p><strong>Dose modulation</strong></p></td><td><p>CARE Dose4D</p></td></tr><tr><td><p><strong>CTDIvol [mGy]</strong></p></td><td><p>Protocol-dependent; significantly lower with low-dose protocol</p></td></tr><tr><td><p><strong>DLP [mGy·cm]</strong></p></td><td><p>Protocol-dependent; significantly lower with low-dose protocol</p></td></tr><tr><td><p><strong>Temporal resolution [ms]</strong></p></td><td><p>n.a.</p></td></tr><tr><td><p><strong>Rotation time [s]</strong></p></td><td><p>0.50</p></td></tr><tr><td><p><strong>Pitch</strong></p></td><td><p>0.8</p></td></tr><tr><td><p><strong>Matrix</strong></p></td><td><p>Automatically adjusted</p></td></tr><tr><td><p><strong>Field of view [mm]</strong></p></td><td><p>Automatically adjusted</p></td></tr><tr><td><p><strong>Detector slice collimation</strong></p></td><td><p>120 × 0.2 mm</p></td></tr><tr><td><p><strong>Acquisition slice thickness</strong></p></td><td><p>0.2 mm</p></td></tr><tr><td><p><strong>Slice width [mm]</strong></p></td><td><p>UHR: 0.2; SR: 1.0</p></td></tr><tr><td><p><strong>Reconstruction increment [mm]</strong></p></td><td><p>UHR: 0.2; SR: 0.7</p></td></tr><tr><td><p><strong>Reconstruction kernel</strong></p></td><td><p>UHR: Bv48, Bv56, Bv60; SR: Bv40</p></td></tr><tr><td><p><strong>Iterative reconstruction</strong></p></td><td><p>UHR: QIR 4; SR: QIR 3</p></td></tr><tr><td><p><strong>Reconstruction</strong></p></td><td><p>UHR polychromatic vs standard-resolution 40-keV VMI</p></td></tr><tr><td><p><strong>Reconstruction comparison</strong></p></td><td><p>FD_UHR_Bv48, FD_UHR_Bv56, FD_UHR_Bv60, FD_SR_Bv40, LD_UHR_Bv48, LD_SR_Bv40</p></td></tr><tr><td><p><strong>Contrast agent</strong></p></td><td><p>Ultravist 370</p></td></tr><tr><td><p><strong>Contrast volume</strong></p></td><td><p>1.5 mL/kg</p></td></tr><tr><td><p><strong>Saline flush</strong></p></td><td><p>n.a.</p></td></tr><tr><td><p><strong>Injection rate</strong></p></td><td><p>3.0 mL/s</p></td></tr><tr><td><p><strong>Bolus triggering</strong></p></td><td><p>Abdominal aorta</p></td></tr><tr><td><p><strong>Arterial phase</strong></p></td><td><p>12-s delay after aortic enhancement</p></td></tr><tr><td><p><strong>Additional reconstructions</strong></p></td><td><p>Axial, coronal, volume-rendered images</p></td></tr></table></div><p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Main finding</strong></p></th></tr><tr><td><p><strong>Study population</strong></p></td><td><p>94 participants; <strong>47 full dose + 47 low dose</strong></p></td></tr><tr><td><p><strong>SNR / CNR</strong></p></td><td><p>Significantly higher with <strong>1-mm 40-keV VMI</strong> than UHR, <em>P</em> &lt; 0.001</p></td></tr><tr><td><p><strong>Vessel sharpness</strong></p></td><td><p>Highest with <strong>UHR Bv56/Bv60</strong>, but with substantially more noise</p></td></tr><tr><td><p><strong>Best UHR balance</strong></p></td><td><p><strong>0.2-mm Bv48</strong> provided comparable overall quality to 40-keV VMI</p></td></tr><tr><td><p><strong>Artery visibility</strong></p></td><td><p>No significant overall difference among the six reconstruction series</p></td></tr><tr><td><p><strong>Preferred strategy</strong></p></td><td><p><strong>Low-dose 1-mm 40-keV VMI</strong> for routine CTA; <strong>0.2-mm UHR Bv48</strong> when thinner slices are required</p></td></tr></table></div><p><strong>Source:</strong><br />
Zhang H, Xing Y, Wang L, Hu Y, Xu Z, Chen H, Lu J, Yang J, Ding B, Hu W, Zhong J. <em>Ultra-High-Resolution Photon-Counting Detector CT Benefits Visualization of Abdominal Arteries: A Comparison to Standard-Reconstruction.</em> <strong>Journal of Imaging Informatics in Medicine.</strong> 2025;38:1891–1903. doi:10.1007/s10278-024-01232-5.</p>]]>
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        <title>(2024) Wang | Low-dose ultra-high-resolution PCCT for visceral artery CTA</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/496/2024-wang-low-dose-ultra-high-resolution-pcct-for-visceral-artery-cta</link>
        <pubDate>Fri, 28 Aug 2026 10:12:50 +0000</pubDate>
        <category>Scientific publications</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">496@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>Prospective study testing whether low-dose (LD) ultra-high-resolution (UHR) photon-counting CT can preserve diagnostic image quality for visceral artery CTA. The study included 57 patients in the full-dose group and 57 in the low-dose group.</p><p><br />
Each acquisition was reconstructed two ways: 0.2 mm / Bv48 / QIR 4 and 1 mm / Bv40 / QIR 3. Objective SNR/CNR and subjective noise, vessel sharpness, overall quality, and visibility of nine visceral arteries were assessed.</p><p><br />
The 0.2-mm UHR reconstruction had lower SNR and CNR than the 1-mm reconstruction, but nevertheless achieved better qualitative image quality, particularly for depiction of tiny arteries on volume-rendered images (p &lt; 0.001).</p><p><br />
Importantly, full-dose imaging generally did not provide significantly higher SNR/CNR than low-dose imaging at the same slice thickness. Exceptions were SNR for the common hepatic, splenic, and bilateral renal arteries with the 0.2-mm reconstruction.</p><p><br />
Low-dose scanning also did not significantly impair image quality in overweight patients within the same reconstruction setting.</p><p><br />
Visibility of the nine evaluated visceral arteries was largely comparable between full- and low-dose protocols, with limited exceptions involving the superior mesenteric and left gastric arteries.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.academicradiology.org%2Farticle%2FS1076-6332%2824%2900430-6%2Fabstract" rel="nofollow noopener ugc" role="button">Access publication</a></p><p><br /><strong>Practical PCCT takeaway</strong></p><p>The study supports using low-dose UHR PCCT for visceral CTA while retaining very thin 0.2-mm reconstructions. Rather than sacrificing spatial resolution to improve conventional SNR/CNR metrics, UHR PCCT can exploit thin slices to improve depiction of small arterial anatomy. The authors conclude that low-dose UHR was adequate for clinical visceral-artery evaluation and that 0.2-mm reconstruction particularly improves small-vessel depiction.</p><p></p><p><strong>Protocol</strong></p><p>NAEOTOM Alpha PCCT; UHR acquisition; 57 FD + 57 LD patients; 0.2-mm/Bv48/QIR4 versus 1-mm/Bv40/QIR3 reconstructions.</p><p></p><p>Source: Wang L, Hu Y, Zhong J, et al. Low-dose Ultra-high-resolution Photon-Counting Detector CT for Visceral Artery CT Angiography: A Preliminary Study. Academic Radiology. 2024;31(12):5087–5099. doi:10.1016/j.acra.2024.06.044. Published online August 6, 2024.</p>]]>
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        <title>(2026) Habib Geryes | Pediatric PCCT protocols and radiation exposure</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/490/2026-habib-geryes-pediatric-pcct-protocols-and-radiation-exposure</link>
        <pubDate>Fri, 28 Aug 2026 06:54:37 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">490@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>This multicenter retrospective study evaluated 6,464 PCCT examinations in 4,772 pediatric patients across three French institutions and provides practical acquisition/reconstruction protocols across ten body regions.</p><p><br />
The cohort had a mean age of 7.9 ± 5.5 years (4 days–17.9 years); nearly one-third of examinations involved children &lt;15 kg and &lt;4 years. Chest and head examinations were the most frequent.</p><p><br />
Protocols were explicitly designed to balance radiation-dose reduction, diagnostic image quality, motion reduction, and workflow efficiency, with dose analysis stratified into five weight groups.</p><p><br />
The authors conclude that the results support safe clinical integration of pediatric PCCT, while emphasizing that the proposed protocols are a flexible framework for local optimization rather than fixed universal settings.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS2211568425002153%3Fvia%253Dihub" rel="nofollow noopener ugc" role="button">Access publication</a></p><h2 data-id="protocols">Protocols</h2><p>We created an cheat sheet from the protocol table via AI:</p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/87N60D9P975B\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:1872062,&quot;width&quot;:1054,&quot;height&quot;:1492,&quot;displaySize&quot;:&quot;medium&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F87N60D9P975B%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1662,&quot;dateInserted&quot;:&quot;2026-08-28T07:21:42+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Parameter</strong></p></th><th><p><strong>Result</strong></p></th></tr><tr><td><p><strong>Patients</strong></p></td><td><p><strong>4,772</strong></p></td></tr><tr><td><p><strong>PCCT examinations</strong></p></td><td><p><strong>6,464</strong></p></td></tr><tr><td><p><strong>Mean age</strong></p></td><td><p><strong>7.9 ± 5.5 years</strong></p></td></tr><tr><td><p><strong>Age range</strong></p></td><td><p><strong>4 days–17.9 years</strong></p></td></tr><tr><td><p><strong>Mean weight</strong></p></td><td><p><strong>29.6 ± 20.3 kg</strong></p></td></tr><tr><td><p><strong>Weight range</strong></p></td><td><p><strong>2–79 kg</strong></p></td></tr><tr><td><p><strong>Children &lt;15 kg / &lt;4 years</strong></p></td><td><p><strong>2,110 examinations (32.64%)</strong></p></td></tr><tr><td><p><strong>Most frequent examination</strong></p></td><td><p>Chest: <strong>2,168 (33.54%)</strong></p></td></tr><tr><td><p><strong>Second most frequent</strong></p></td><td><p>Head: <strong>1,675 (25.91%)</strong></p></td></tr><tr><td><p><strong>Noncontrast head CTDIvol</strong></p></td><td><p><strong>16.1–24.0 mGy</strong> across weight groups</p></td></tr><tr><td><p><strong>Noncontrast head DLP</strong></p></td><td><p><strong>311–608 mGy·cm</strong></p></td></tr><tr><td><p><strong>Noncontrast chest CTDIvol</strong></p></td><td><p><strong>0.3–0.8 mGy</strong></p></td></tr><tr><td><p><strong>Noncontrast chest DLP</strong></p></td><td><p><strong>7–27 mGy·cm</strong></p></td></tr><tr><td><p><strong>Temporal bone CTDIvol</strong></p></td><td><p><strong>22.7–33.8 mGy</strong></p></td></tr><tr><td><p><strong>Dose relationship</strong></p></td><td><p>CTDIvol and DLP increased with patient weight</p></td></tr></table></div><p>The patient distribution and examination frequencies are reported in the study results.  Dose levels varied substantially by examination and patient weight; temporal-bone examinations had particularly high CTDIvol because of UHR/high-kV acquisition, whereas noncontrast chest imaging operated at very low dose levels. </p><p>For example, pooled across weight groups, <strong>noncontrast chest PCCT</strong> had a median CTDIvol of <strong>0.4 mGy</strong> and DLP of <strong>11.9 mGy·cm</strong>, while the dedicated <strong>low-dose chest</strong> protocol reached approximately <strong>0.1 mGy</strong> and <strong>4.0 mGy·cm</strong>, respectively. </p><p></p><h3 data-id="practical-take-home">Practical take-home</h3><p>This is primarily a <strong>protocol and dose-reference paper</strong>, rather than an image-quality superiority study. Its major value is the large real-world pediatric dataset and the detailed, indication-specific protocol framework. PCCT allows aggressive pediatric dose optimization through <strong>weight-/task-adapted CARE keV, Sn filtration, fast-pitch acquisition, UHR where spatial resolution is necessary, and spectral reconstructions from contrast-enhanced QuantumPlus scans</strong>.  </p><p><strong>Source:</strong> Habib Geryes B, Moalla S, De Saint Etienne E, et al. <em>Photon-counting CT in pediatric patients: A multi-institutional evaluation of protocols and radiation exposure in 4,772 patients.</em> <strong>Diagnostic and Interventional Imaging.</strong> 2026;107(5):186–197. doi:10.1016/j.diii.2025.11.010.</p>]]>
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        <title>(2026) Huang | UHR PCCT with low-keV improves preoperative pancreatic cancer assessment</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/489/2026-huang-uhr-pcct-with-low-kev-improves-preoperative-pancreatic-cancer-assessment</link>
        <pubDate>Fri, 28 Aug 2026 06:11:40 +0000</pubDate>
        <category>Scientific publications</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">489@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>Combining UHR PCCT with low-keV virtual monoenergetic imaging (VMI) improved visualization of pancreatic ductal adenocarcinoma (PDAC), peripancreatic vessels, and fine pancreatic anatomy; the study identified 0.4-mm slices at 45 keV as the best overall reconstruction strategy for preoperative assessment.</p><p><br />
40-keV VMI produced the highest quantitative CNR and SNR for tumors and peripancreatic vessels, while 45–50 keV at 0.4-mm slice thickness achieved better qualitative visualization of fine anatomical structures, balancing spectral contrast enhancement with the high spatial resolution of PCCT.</p><p><br />
The combination of high spatial resolution and spectral information from PCCT may improve tumor–vessel delineation and visualization of fine structures relevant to PDAC staging and surgical planning, demonstrating the complementary value of UHR acquisition and spectral reconstruction in abdominal oncology imaging.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0720048X25006825" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/8141ZA56ZYWA\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:298224,&quot;width&quot;:550,&quot;height&quot;:550,&quot;displaySize&quot;:&quot;medium&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F8141ZA56ZYWA%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1659,&quot;dateInserted&quot;:&quot;2026-08-28T06:10:50+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p>Image taken from LinkedIn:</p><p>→ <a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Flnkd.in%2Fp%2FdHEn3v4q" target="_blank" rel="nofollow noopener ugc">Go to post</a></p><p>Source: Huang R, Yang Y, Gao M, et al. Eur J Radiol. 2026;195:112596.</p>]]>
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        <title>(2026) Tóth | Spectral black-blood PCCT for high-resolution carotid vessel wall imaging</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/488/2026-toth-spectral-black-blood-pcct-for-high-resolution-carotid-vessel-wall-imaging</link>
        <pubDate>Fri, 28 Aug 2026 05:37:26 +0000</pubDate>
        <category>Scientific publications</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">488@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>A novel spectral black-blood CT (BBCT) reconstruction used the spectral information from PCCT to suppress intraluminal iodine from a routine single-phase CTA dataset, enabling high-resolution carotid vessel wall imaging without an additional scan, contrast administration, or dedicated acquisition. </p><p></p><p>Compared with conventional CTA, spectral BBCT significantly improved wall–lumen delineation and carotid plaque conspicuity while preserving overall image quality. An iodine ratio of 2.0 provided the best balance between lumen suppression and vessel wall visualization. </p><p></p><p>BBCT improved reader agreement for high-risk plaque features including intraplaque hemorrhage, lipid-rich necrotic core, and thin fibrous cap. However, possible subtraction-related sensitivity loss means BBCT should currently be viewed as a complementary PCCT reconstruction alongside conventional CTA, rather than a standalone replacement.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fdoi.org%2F10.1097%2FRLI.0000000000001309" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/NU81W6U79REN\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:759196,&quot;width&quot;:800,&quot;height&quot;:1023,&quot;displaySize&quot;:&quot;medium&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FNU81W6U79REN%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1658,&quot;dateInserted&quot;:&quot;2026-08-28T05:36:27+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p>Check also the LinkedinPost:<strong><br />
→ </strong><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Flnkd.in%2Fp%2Fdcs--t_6" rel="nofollow noopener ugc">Go to post</a></p><p><strong>Source:</strong> Tóth A, Hagar MT, Halfmann MC, <em>et al.</em> <em>Investigative Radiology.</em> Published ahead of print August 18, 2026. doi:10.1097/RLI.0000000000001309.</p>]]>
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        <title>(2025) Shami | Clinical PCCT to detect intra-plaque haemorrhage and thrombus in carotid plaques</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/483/2025-shami-clinical-pcct-to-detect-intra-plaque-haemorrhage-and-thrombus-in-carotid-plaques</link>
        <pubDate>Thu, 27 Aug 2026 09:04:50 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">483@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>This proof-of-concept study is described as the first clinical PCCT study to characterize high-risk human carotid plaque features in living patients, using histology from subsequent carotid endarterectomy as the reference. The cohort comprised 10 symptomatic patients.</p><p><br />
Spectral PCCT could differentiate multiple plaque components. Calcification was distinguishable from all other features across 40–190 keV, while intraplaque haemorrhage (IPH) was also distinguishable from the other tissue classes except thrombus. Thrombus was distinguishable from other features (except IPH) over 40–166 keV.</p><p><br />
The key clinical implication is that PCCT may move carotid CTA beyond assessment of stenosis and calcification toward non-invasive characterization of rupture-prone plaque components, particularly IPH and thrombus, potentially improving cardiovascular risk stratification.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Facademic.oup.com%2Feurheartj%2Farticle%2F46%2F46%2F5045%2F8242491" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/1T6ZTLE0IRP2\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:519898,&quot;width&quot;:520,&quot;height&quot;:764,&quot;displaySize&quot;:&quot;medium&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F1T6ZTLE0IRP2%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1648,&quot;dateInserted&quot;:&quot;2026-08-27T09:04:21+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:null,&quot;foreignID&quot;:null,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 1. </strong>Comparison of attenuation of distinct atherosclerotic plaque features scanned by PCCT in living patients and corresponding microscopic images after carotid endarterectomy. High-resolution PCCT angiography demonstrates carotid stenosis, with matched ROIs on 70-keV PCCT images and histology. Spectral HU measurements from 40–190 keV characterize calcium, IPH, thrombus, lipid core, fibrosis, and necrosis and demonstrate feature-specific spectral behavior.</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p><strong>Detail</strong></p></th><th><p><strong>Value</strong></p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Carotid arteries</p></td></tr><tr><td><p><strong>Reference standard</strong></p></td><td><p>Histology after carotid endarterectomy</p></td></tr><tr><td><p><strong>Timing</strong></p></td><td><p>PCCT mean 1.7 ± 1.6 days before surgery</p></td></tr><tr><td><p><strong>Acquisition mode</strong></p></td><td><p>Quantum Plus</p><p>Single-source</p></td></tr><tr><td><p><strong>Tube voltage [kVp]</strong></p></td><td><p>120</p></td></tr><tr><td><p><strong>Image quality level</strong></p></td><td><p>150</p></td></tr><tr><td><p><strong>Exposure control</strong></p></td><td><p>CARE Dose4D</p></td></tr><tr><td><p><strong>Collimation</strong></p></td><td><p>120 × 0.2 mm</p></td></tr><tr><td><p><strong>Rotation time</strong></p></td><td><p>0.5 s</p></td></tr><tr><td><p><strong>Pitch</strong></p></td><td><p>0.85</p></td></tr><tr><td><p><strong>Contrast reconstruction</strong></p></td><td><p>Qr40 and Bv64, QIR 4</p></td></tr><tr><td><p><strong>Non-contrast reconstruction</strong></p></td><td><p>Qr40 and Br84, QIR 3</p></td></tr><tr><td><p><strong>Slice thickness</strong></p></td><td><p>0.4 mm</p></td></tr><tr><td><p><strong>Increment</strong></p></td><td><p>0.2 mm</p></td></tr><tr><td><p><strong>Spectral analysis</strong></p></td><td><p>40–190 keV in 1-keV increments</p></td></tr><tr><td><p><strong>Representative VMI</strong></p></td><td><p>70 keV</p></td></tr><tr><td><p><strong>Contrast</strong></p></td><td><p>Omnipaque, 350 mg I/mL</p></td></tr></table></div><p></p><h2 data-id="plaque-characterization">Plaque characterization</h2><div><table><colgroup><col /><col /><col /><col /></colgroup><tr><th><p><strong>Feature</strong></p></th><th><p><strong>Histological reference / n</strong></p></th><th><p><strong>PCCT finding</strong></p></th></tr><tr><td><p><strong>Calcification</strong></p></td><td><p>von Kossa / 340</p></td><td><p>Distinguished from all other features across 40–190 keV</p></td></tr><tr><td><p><strong>IPH</strong></p></td><td><p>Glycophorin A / 106</p></td><td><p>Distinguished from all features except thrombus</p></td></tr><tr><td><p><strong>Thrombus</strong></p></td><td><p>Glycophorin A / 43</p></td><td><p>Distinguished from other features except IPH at 40–166 keV</p></td></tr><tr><td><p><strong>Lipid core</strong></p></td><td><p>oxLDL / 107</p></td><td><p>Differentiated from fibrosis across all energies</p></td></tr><tr><td><p><strong>Fibrosis</strong></p></td><td><p>Russell-Movat / 470</p></td><td><p>Differentiated from lipid core throughout spectral range and necrosis at lower energies</p></td></tr><tr><td><p><strong>Necrosis</strong></p></td><td><p>Histological tissue/cell absence / 62</p></td><td><p>Spectral differentiation more limited</p></td></tr></table></div><p></p><p>The study used <strong>1,128 manually matched histology-PCCT ROIs</strong>, with alignment validated by an experienced imaging cardiologist; blinded inter-observer assessment showed <strong>82% overall agreement</strong>. </p><p></p><h3 data-id="key-takeaway">Key takeaway</h3><p>PCCT provided <strong>in-vivo spectral tissue characterization of carotid plaques</strong>, including detection of <strong>intraplaque haemorrhage and thrombus</strong>, rather than merely quantifying stenosis or calcium. However, this remains an early proof-of-concept: only 10 patients were included, all were of the same sex and ethnicity, and there was no direct accuracy comparison with conventional CT or MRI. </p><p></p><p><strong>Source:</strong> Shami A, Sun J, Celander M, et al. <em>Clinical photon-counting computed tomography in living patients detects intra-plaque haemorrhage and thrombus in carotid plaques.</em> <strong>European Heart Journal.</strong> 2025;46(46):5045–5048. Published August 29, 2025. doi:10.1093/eurheartj/ehaf707. </p>]]>
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        <title>(2026) Schwartz | Streamlined PCCT myelography protocol for detection of CSF-venous fistulas</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/476/2026-schwartz-streamlined-pcct-myelography-protocol-for-detection-of-csf-venous-fistulas</link>
        <pubDate>Wed, 26 Aug 2026 08:03:46 +0000</pubDate>
        <category>Scientific publications</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">476@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>A streamlined PCCT myelography protocol enabled whole-spine evaluation at 0.2 × 0.1 mm resolution while limiting scanner time to approximately 15 minutes, making high-resolution CSF leak imaging feasible in a busy clinical setting.</p><p></p><p>In 35 patients with previously inconclusive spine imaging, PCCT definitively identified a CSF leak in 34% (12/35) and suggested a potential leak site in another 23% (8/35). Resistive inspiration was most frequently judged the best breathing phase for leak detection.</p><p></p><p>PCCT findings enabled more targeted management after extensive prior workup; among treated patients, 62% (18/29) achieved symptom relief following surgery, embolization, or blood/fibrin glue patching.</p></div></div><p> <a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fdoi.org%2F10.3174%2Fajnr.A9151" rel="nofollow noopener ugc" role="button">Access publication</a></p><p><strong>Exam protocol</strong></p><ul><li>Intrathecal contrast was administered under <strong>fluoroscopic guidance</strong>, followed by transport to the PCCT scanner with the patient maintained in a <strong>decubitus position</strong>.</li><li>The <strong>entire spine</strong> was imaged with UHR PCCT at <strong>0.2 × 0.1 mm spatial resolution</strong> using <strong>three breathing phases</strong>: resistive inspiration, end inspiration, and Valsalva, resulting in <strong>six series per examination</strong>.</li><li>In all but two patients, imaging was performed on <strong>two consecutive days</strong>, once in each decubitus position, allowing side-dependent assessment for <strong>CSF-venous fistulas</strong> while keeping each scanner session to about <strong>15 minutes</strong>.</li></ul><p><strong>Source:</strong> Schwartz FR, Huang RY, DeSalvo MN, <em>et al.</em> <em>AJNR Am J Neuroradiol.</em> 2026;47(6):1737–1742.</p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/EGZRUPVK4V5C\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:919776,&quot;width&quot;:1280,&quot;height&quot;:640,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FEGZRUPVK4V5C%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1624,&quot;dateInserted&quot;:&quot;2026-08-26T08:03:40+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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        <title>(2024) Halfmann | UHR PCCTA improves coronary stenosis assessment and CAD-RADS classification</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/462/2024-halfmann-uhr-pccta-improves-coronary-stenosis-assessment-and-cad-rads-classification</link>
        <pubDate>Fri, 07 Aug 2026 05:23:51 +0000</pubDate>
        <category>Scientific publications</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">462@/zh/discussions</guid>
        <description><![CDATA[<p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fdoi.org%2F10.1148%2Fradiol.231956" rel="nofollow noopener ugc" role="button">Access publication</a></p><p><strong>Key takeaways</strong></p><div><div><p>UHR PCCTA significantly improved the assessment of calcified coronary stenoses by reducing calcium blooming artifacts, resulting in more accurate stenosis quantification than standard-resolution CCTA.</p><p></p><p>Compared with standard-resolution imaging, UHR PCCTA reclassified 54.4% of patients to a lower CAD-RADS category, with fewer recommendations for downstream functional testing and invasive coronary angiography.</p><p></p><p>The findings support PCCT as an important advance for evaluating patients with suspected or known coronary artery disease, particularly in the presence of coronary calcification where conventional CCTA has limited specificity.</p></div></div><p>Source: Halfmann et al. Radiology. 2024;310(2).</p>]]>
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        <title>(2026) Szilveszter | UHR PCCT improves detection of low-attenuation coronary plaque</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/460/2026-szilveszter-uhr-pcct-improves-detection-of-low-attenuation-coronary-plaque</link>
        <pubDate>Tue, 04 Aug 2026 08:16:02 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">460@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>This phantom study demonstrates that ultra-high-resolution (UHR) photon-counting CT (PCCT) substantially improves visualization of low-attenuation plaque (LAP) compared with standard-resolution PCCT and a clinically used energy-integrating detector CT (EID-CT) protocol.</p><p><br />
The combination of UHR acquisition (120 × 0.2 mm collimation), sharp Qr72 reconstruction kernels, and QIR 2–4 provided the highest spatial resolution and the most accurate attenuation values, allowing visualization of 1-mm LAP components that conventional EID-CT failed to resolve.</p><p><br />
Higher virtual monoenergetic reconstructions (130 keV) reduced iodine blooming and improved differentiation between calcium, iodine, and lipid-rich plaque components, suggesting optimized PCCT protocols may improve future coronary plaque characterization.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Facademic.oup.com%2Fehjimp%2Farticle%2F4%2F3%2Fqyag119%2F8739901" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/9TESOOMQAPA5\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:193446,&quot;width&quot;:1000,&quot;height&quot;:575,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F9TESOOMQAPA5%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1604,&quot;dateInserted&quot;:&quot;2026-08-04T08:15:20+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p>Figure 2. Low-attenuation plaque visualization on standard, UHR, and reference images using PCD-CT. Compared with the standard resolution (Qr40) and ultra-high resolution (Qr72) reconstructions, the Temporal Bone (Hr84) protocol provided markedly superior delineation of fine plaque morphology in the smallest plaque inlay (LAP4mm) using PCD-CT. This phantom design simulates a true-to-scale 4 mm coronary plaque, underscoring the relevance of these findings to real coronary artery dimensions.</p><p>Source:<br /><a data-username="Bálint Szilveszter" data-userid="159" rel="nofollow" href="https://connect.siemens-healthineers.com/zh/profile/159/B%C3%A1lint%20Szilveszter">@Bálint Szilveszter</a><em>, Kolossváry M, Kubovje A, et al. Mixed coronary plaque phantom analysis by photon-counting CT: impact of calcium and iodine on low-attenuation plaque detection. European Heart Journal – Imaging Methods and Practice. 2026;4(3):qyag119.</em></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/DIQW39FB6H7S\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:3011497,&quot;width&quot;:4050,&quot;height&quot;:2333,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FDIQW39FB6H7S%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1605,&quot;dateInserted&quot;:&quot;2026-08-04T08:15:41+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p></p><h3 data-id="protocol-pcct">Protocol (PCCT)</h3><div><table><colgroup><col /><col /><col /><col /><col /></colgroup><tr><th><p>Parameter</p></th><th><p>Standard mode</p></th><th><p>UHR mode</p></th><th><p>High-resolution reference standard</p></th></tr><tr><td><p></p></td><td><p>Cardiac, sequential, half-rotation</p></td><td><p>Cardiac, sequential, half-rotation</p></td><td><p>Temporal Bone, helical, full-rotation</p></td></tr><tr><td><p><em>Tube voltage (kVp)</em></p></td><td><p>120</p></td><td><p>120</p></td><td><p>140</p></td></tr><tr><td><p><em>Kernel</em></p></td><td><p>Qr40 &amp; Qr72</p></td><td><p>Qr40 &amp; Qr72</p></td><td><p>Hr 84</p></td></tr><tr><td><p><em>Field of view (mm)</em></p></td><td><p>102</p></td><td><p>102</p></td><td><p>100</p></td></tr><tr><td><p><em>Single collimation width (mm)</em></p></td><td><p>0.4</p></td><td><p>0.2</p></td><td><p>0.2</p></td></tr><tr><td><p><em>Rotation time (s)</em></p></td><td><p>0.25</p></td><td><p>0.25</p></td><td><p>0.5</p></td></tr><tr><td><p><em>Matrix size</em></p></td><td><p>512 × 512</p></td><td><p>512 × 512</p></td><td><p>768 × 768</p></td></tr><tr><td><p><em>Pixel dimensions (mm × mm)</em></p></td><td><p>0.20 × 0.20</p></td><td><p>0.20 × 0.20</p></td><td><p>0.13 × 0.13</p></td></tr><tr><td><p><em>Computed tomography dose index volume (mGy)</em></p></td><td><p>13.98</p></td><td><p>14.79</p></td><td><p>55.05</p></td></tr><tr><td><p><em>Energy levels (keV)</em></p></td><td><p>40,70,100,130, T3D</p></td><td><p>T3D</p></td><td><p>T3D</p></td></tr><tr><td><p><em>Focal spot (mm)</em></p></td><td><p>0.8/1.2</p></td><td><p>0.8/1.2</p></td><td><p>0.6/0.7</p></td></tr></table></div>]]>
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        <title>(2026) Pannenbecker | UHR PCCT pulmonary angiography improves pulmonary artery visibility/confidence</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/433/2026-pannenbecker-uhr-pcct-pulmonary-angiography-improves-pulmonary-artery-visibility-confidence</link>
        <pubDate>Fri, 26 Jun 2026 13:31:25 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">433@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>Ultra-high-resolution (UHR) photon-counting CT pulmonary angiography significantly improved visualization of peripheral pulmonary arteries and increased radiologists' diagnostic confidence compared with state-of-the-art dual-energy EID-CT.</p><p></p><p>UHR-PCD-CT achieved substantially higher pulmonary arterial enhancement (568–623 HU vs. 397 HU) while maintaining similar SNR and CNR, enabling superior subjective image quality and iodine map quality.</p><p></p><p>A low-dose UHR protocol (IQ25) reduced radiation dose by approximately 36% compared with EID-CT while maintaining the same image quality and diagnostic confidence as the higher-dose UHR protocol (IQ50).</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs00330-026-12588-3" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/HCIQBEUOR0BQ\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:284188,&quot;width&quot;:685,&quot;height&quot;:384,&quot;displaySize&quot;:&quot;medium&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FHCIQBEUOR0BQ%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1518,&quot;dateInserted&quot;:&quot;2026-06-26T13:28:17+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p>Figure 4. Increased peripheral pulmonary artery visibility with ultra-high-resolution photon-counting CT. UHR-PCD-CTPA at IQ50 (A) and IQ25 (B) vs. EID-CTPA (C). Representative measurements of the minimal distance of the last discernible pulmonary artery branch to the pleura are shown (orange line, in mm). CTPA, CT pulmonary angiography; EID, energy-integrating detector; IQ, image quality index; PCD, photon-counting detector; UHR, ultra-high resolution</p><p>Source: Pannenbecker P, Rüth C, Grunz JP, et al. Increasing pulmonary artery visibility and diagnostic confidence with ultra-high resolution photon-counting detector CT pulmonary angiography. European Radiology. 2026.</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p>Detail</p></th><th><p>Value</p></th></tr><tr><td><p>Scanner</p></td><td><p>NAEOTOM Alpha.Peak</p></td></tr><tr><td><p>Software</p></td><td><p>VB10 PCCT</p><p>VB80D sybgo.via</p></td></tr><tr><td><p>Scan area</p></td><td><p>CT Pulmonary Angiography (CTPA)</p></td></tr><tr><td><p>Scan mode</p></td><td><p>Quantum HD</p></td></tr><tr><td><p>Acquisition mode</p></td><td><p>Photon-counting CT</p></td></tr><tr><td><p>Scan direction</p></td><td><p>Craniocaudal</p></td></tr><tr><td><p>Tube voltage [kV]</p></td><td><p>140</p></td></tr><tr><td><p>Effective mAs [mAs]</p></td><td><p>IQ25 or IQ50 (vendor-specific IQ level)</p></td></tr><tr><td><p>IQ level</p></td><td><p>25 or 50</p></td></tr><tr><td><p>Dose modulation</p></td><td><p>IQ-based automatic exposure control</p></td></tr><tr><td><p>CTDIvol [mGy]</p></td><td><p>IQ25: <strong>3.0 ± 1.0</strong>; IQ50: <strong>6.7 ± 2.4</strong></p></td></tr><tr><td><p>DLP [mGy·cm]</p></td><td><p>Not reported</p></td></tr><tr><td><p>Pitch</p></td><td><p>3.2 (Flash mode)</p></td></tr><tr><td><p>Matrix</p></td><td><p>n.r.</p></td></tr><tr><td><p>Slice collimation [mm]</p></td><td><p>120 × 0.2</p></td></tr><tr><td><p>Slice width [mm]</p></td><td><p>0.4</p></td></tr><tr><td><p>Reconstruction kernel</p></td><td><p>Bv48</p></td></tr><tr><td><p>Reconstruction</p></td><td><p>55 keV virtual monoenergetic images (VMI)</p></td></tr><tr><td><p>Iodine maps</p></td><td><p>Yes</p></td></tr><tr><td><p>Contrast agent</p></td><td><p>Imeron 350</p></td></tr><tr><td><p>Contrast volume</p></td><td><p>40 mL</p></td></tr><tr><td><p>Flow rate</p></td><td><p>4 mL/s</p></td></tr><tr><td><p>Bolus triggering</p></td><td><p>100 HU in pulmonary trunk; 5 s delay</p></td></tr><tr><td><p>Patient preparation</p></td><td><p>Standard pulmonary embolism protocol</p></td></tr></table></div><p></p><h3 data-id="comparison-protocol-reference-eid-ct">Comparison protocol (reference EID-CT)</h3><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p>Detail</p></th><th><p>Value</p></th></tr><tr><td><p>Scanner</p></td><td><p>SOMATOM Force</p></td></tr><tr><td><p>Acquisition</p></td><td><p>Dual-energy EID-CT</p></td></tr><tr><td><p>Tube voltage</p></td><td><p>90/Sn150 kV</p></td></tr><tr><td><p>Pitch</p></td><td><p>0.55</p></td></tr><tr><td><p>Slice collimation</p></td><td><p>2 × 96 × 0.6 mm</p></td></tr><tr><td><p>Slice width</p></td><td><p>0.6 mm</p></td></tr><tr><td><p>Reconstruction kernel</p></td><td><p>Bv36</p></td></tr><tr><td><p>Contrast volume</p></td><td><p>50 mL</p></td></tr><tr><td><p>CTDIvol</p></td><td><p>4.7 ± 2.7 mGy</p></td></tr></table></div>]]>
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        <title>(2026) Huflage | Comparison of IMAR presets for UHR angiography for total kneeendoprosthesis</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/443/2026-huflage-comparison-of-imar-presets-for-uhr-angiography-for-total-kneeendoprosthesis</link>
        <pubDate>Wed, 15 Jul 2026 12:03:28 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">443@/zh/discussions</guid>
        <description><![CDATA[<ul><li>Among all seven available iterative metal artifact reduction (IMAR) presets, the IMARDental preset unexpectedly provided the strongest reduction of metal artifacts around total knee endoprostheses during ultra-high-resolution photon-counting CT angiography.</li><li>IMARDental significantly improved objective artifact reduction and achieved the highest subjective diagnostic confidence for assessing the popliteal artery, while maintaining image noise comparable to all other reconstruction presets.</li><li>The study demonstrates that IMAR preset selection should be task-based rather than anatomy-based, suggesting that the default "Extremity" preset is not necessarily optimal for vascular assessment adjacent to metallic implants.</li></ul><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1076633226004265" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/RLW79B3MU62C\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:399952,&quot;width&quot;:751,&quot;height&quot;:429,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2FRLW79B3MU62C%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1534,&quot;dateInserted&quot;:&quot;2026-07-15T12:01:11+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 2. </strong>The seven available iterative metal artifact reduction (IMAR) presets have vastly different influence on the diagnostic assessability of the popliteal artery (red arrows) in ultra-high-resolution photon-counting CT angiography of the lower extremity.</p><p><strong>Source:</strong><br />
Huflage H, Kunz AS, Wech T, et al. <em>Comparison of Iterative Metal Artifact Reduction Presets In Ultra-high-resolution Photon-counting CT Angiography of Patients with Total Knee Endoprosthesis.</em> Academic Radiology. 2026.</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p>Detail</p></th><th><p>Value</p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Software</strong></p></td><td><p>VB10</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Lower extremity CTA</p></td></tr><tr><td><p><strong>Scan mode</strong></p></td><td><p>Quantum Plus</p></td></tr><tr><td><p><strong>Scan direction</strong></p></td><td><p>Craniocaudal</p></td></tr><tr><td><p><strong>Tube voltage [kV]</strong></p></td><td><p>140</p></td></tr><tr><td><p><strong>Effective mAs [mAs]</strong></p></td><td><p>CARE keV</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>64</p></td></tr><tr><td><p><strong>Dose modulation</strong></p></td><td><p>Active</p></td></tr><tr><td><p><strong>CTDIvol [mGy]</strong></p></td><td><p>n.a.</p></td></tr><tr><td><p><strong>DLP [mGy·cm]</strong></p></td><td><p>Median 892 (747–1010.5)</p></td></tr><tr><td><p><strong>Rotation time [s]</strong></p></td><td><p>1.0</p></td></tr><tr><td><p><strong>Pitch</strong></p></td><td><p>1.0</p></td></tr><tr><td><p><strong>Field of view [mm]</strong></p></td><td><p>200</p></td></tr><tr><td><p><strong>Slice collimation [mm]</strong></p></td><td><p>120 × 0.2</p></td></tr><tr><td><p><strong>Slice width [mm]</strong></p></td><td><p>0.8</p></td></tr><tr><td><p><strong>Reconstruction increment [mm]</strong></p></td><td><p>0.8</p></td></tr><tr><td><p><strong>Reconstruction kernel</strong></p></td><td><p>Bv56</p></td></tr><tr><td><p><strong>Iterative reconstruction</strong></p></td><td><p>QIR 4</p></td></tr><tr><td><p><strong>Virtual monoenergetic images</strong></p></td><td><p>55 keV</p></td></tr><tr><td><p><strong>Metal artifact reduction</strong></p></td><td><p>IMAR off + Extremity, Hip, Pacemaker, Lung coils, Shoulder, Dental, Neuro coils presets</p></td></tr><tr><td><p><strong>Contrast agent</strong></p></td><td><p>Imeron 400 mg I/mL</p></td></tr><tr><td><p><strong>Contrast volume</strong></p></td><td><p>90 mL</p></td></tr><tr><td><p><strong>Saline chaser</strong></p></td><td><p>30 mL</p></td></tr><tr><td><p><strong>Flow rate</strong></p></td><td><p>3.0 mL/s</p></td></tr><tr><td><p><strong>Bolus triggering</strong></p></td><td><p>ROI in infrarenal aorta, 100 HU threshold, 18 s delay</p></td></tr></table></div>]]>
        </description>
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        <title>(2022) Mergen | UHR coronary CT angiography with PCCT: feasibility and optimal reconstruction</title>
        <link>https://connect.siemens-healthineers.com/zh/discussion/438/2022-mergen-uhr-coronary-ct-angiography-with-pcct-feasibility-and-optimal-reconstruction</link>
        <pubDate>Sat, 27 Jun 2026 05:30:15 +0000</pubDate>
        <category>Publication protocols</category>
        <dc:creator>Daniel Stromer</dc:creator>
        <guid isPermaLink="false">438@/zh/discussions</guid>
        <description><![CDATA[<div><div><p>Ultra-high-resolution (UHR) coronary CTA with photon-counting CT was feasible in patients with a high coronary calcium burden, providing improved visualization of calcified plaques and adjacent coronary lumen compared with conventional 0.6 mm reconstructions.</p><p><br />
Reconstruction kernel selection proved critical. Moderate sharp kernels (particularly Bv64) achieved the best balance between blooming reduction, vessel sharpness, and image noise, while very sharp kernels increased noise without further improving blooming.</p><p><br />
The study established an optimized UHR coronary PCCT protocol (0.2 mm slices, Bv64 kernel, 200 mm FOV, 512×512 matrix), laying the technical foundation for later clinical UHR coronary PCCT studies.</p></div></div><p><a href="https://connect.siemens-healthineers.com/zh/home/leaving?allowTrusted=1&amp;target=https%3A%2F%2Fjournals.lww.com%2Finvestigativeradiology%2Ffulltext%2F2022%2F12000%2Fultra_high_resolution_coronary_ct_angiography_with.2.aspx" rel="nofollow noopener ugc" role="button">Access publication</a></p><span data-embedjson="{&quot;url&quot;:&quot;https:\/\/us.v-cdn.net\/6038601\/uploads\/43J3Q42KPULV\/image.png&quot;,&quot;name&quot;:&quot;image.png&quot;,&quot;type&quot;:&quot;image\/png&quot;,&quot;size&quot;:1894457,&quot;width&quot;:2000,&quot;height&quot;:1150,&quot;displaySize&quot;:&quot;large&quot;,&quot;float&quot;:&quot;none&quot;,&quot;downloadUrl&quot;:&quot;https:\/\/connect.siemens-healthineers.com\/api\/v2\/media\/download-by-url?url=https%3A%2F%2Fus.v-cdn.net%2F6038601%2Fuploads%2F43J3Q42KPULV%2Fimage.png&quot;,&quot;active&quot;:true,&quot;mediaID&quot;:1525,&quot;dateInserted&quot;:&quot;2026-06-27T05:26:25+00:00&quot;,&quot;insertUserID&quot;:14,&quot;foreignType&quot;:&quot;embed&quot;,&quot;foreignID&quot;:&quot;14&quot;,&quot;embedType&quot;:&quot;image&quot;,&quot;embedStyle&quot;:&quot;rich_embed_card&quot;}">
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<p><strong>Figure 5.</strong> Axial images from ultra-high-resolution CCTA (slice thickness, 0.2 mm) with PCD-CT of the left main and the proximal left anterior descending artery. Although borders of calcified plaques have a blurry appearance on reconstructions with low kernel strengths, reconstructions with moderate kernel strengths (eg, Bv64) enable an excellent delineation of calcified plaques and adjacent vessel lumen before increased image noise on reconstructions with high kernel strengths (eg, Bv89) hampers vessel lumen visualization.</p><p></p><h2 data-id="protocol">Protocol</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p>Detail</p></th><th><p>Value</p></th></tr><tr><td><p><strong>Scanner</strong></p></td><td><p>NAEOTOM Alpha</p></td></tr><tr><td><p><strong>Software</strong></p></td><td><p>syngo CT VA50</p></td></tr><tr><td><p><strong>Scan area</strong></p></td><td><p>Coronary CTA</p></td></tr><tr><td><p><strong>Scan mode</strong></p></td><td><p>Retrospective ECG-gated dual-source spiral UHR mode</p></td></tr><tr><td><p><strong>Acquisition mode</strong></p></td><td><p>Quantum HD</p></td></tr><tr><td><p><strong>Scan direction</strong></p></td><td><p>Helical</p></td></tr><tr><td><p><strong>Tube voltage [kV]</strong></p></td><td><p>120</p></td></tr><tr><td><p><strong>Effective mAs [mAs]</strong></p></td><td><p>IQ level 64 (automatic tube current modulation)</p></td></tr><tr><td><p><strong>IQ level</strong></p></td><td><p>64</p></td></tr><tr><td><p><strong>Dose modulation</strong></p></td><td><p>Automatic tube current modulation</p></td></tr><tr><td><p><strong>CTDIvol [mGy]</strong></p></td><td><p>38.2 ± 11.1</p></td></tr><tr><td><p><strong>DLP [mGy·cm]</strong></p></td><td><p>n.a.</p></td></tr><tr><td><p><strong>Temporal resolution [ms]</strong></p></td><td><p>66</p></td></tr><tr><td><p><strong>Rotation time [s]</strong></p></td><td><p>0.25</p></td></tr><tr><td><p><strong>Pitch</strong></p></td><td><p>0.19–0.32 (heart rate dependent)</p></td></tr><tr><td><p><strong>Matrix</strong></p></td><td><p>512 × 512 or 1024 × 1024</p></td></tr><tr><td><p><strong>Field of view [mm]</strong></p></td><td><p>200 × 200 (Bv40–72), 150 × 150 (Bv89)</p></td></tr><tr><td><p><strong>Slice collimation [mm]</strong></p></td><td><p>120 × 0.2</p></td></tr><tr><td><p><strong>Slice width [mm]</strong></p></td><td><p>0.2 (reference reconstruction additionally 0.6 mm)</p></td></tr><tr><td><p><strong>Reconstruction increment [mm]</strong></p></td><td><p>0.2 (0.3 mm for reference reconstruction)</p></td></tr><tr><td><p><strong>Reconstruction kernel</strong></p></td><td><p>Bv40, Bv44, Bv56, Bv60, Bv64, Bv72, Bv80, Bv89</p></td></tr><tr><td><p><strong>Iterative reconstruction</strong></p></td><td><p>QIR level 4</p></td></tr><tr><td><p><strong>Reconstruction comparison</strong></p></td><td><p>Eight UHR vascular kernels (0.2 mm) versus reference Bv40 at 0.6 mm</p></td></tr><tr><td><p><strong>ECG gating</strong></p></td><td><p>Retrospective</p></td></tr><tr><td><p><strong>ECG pulsing</strong></p></td><td><p>Fixed 30–80% R-R interval</p></td></tr><tr><td><p><strong>Contrast agent</strong></p></td><td><p>Ultravist 370 (iopromide 370 mg iodine/mL)</p></td></tr><tr><td><p><strong>Contrast volume</strong></p></td><td><p>50–80 mL (body weight dependent)</p></td></tr><tr><td><p><strong>Flow rate</strong></p></td><td><p>3.3–4.4 mL/s</p></td></tr><tr><td><p><strong>Saline chaser</strong></p></td><td><p>20 mL</p></td></tr><tr><td><p><strong>Bolus triggering</strong></p></td><td><p>140 HU in ascending aorta at 90 kV</p></td></tr><tr><td><p><strong>Patient preparation</strong></p></td><td><p>Sublingual nitroglycerin (2.5 mg isosorbide dinitrate); no beta-blockers</p></td></tr><tr><td><p><strong>Phase selection</strong></p></td><td><p>Least-motion cardiac phase reconstructed individually</p></td></tr></table></div><p></p><h2 data-id="key-results">Key Results</h2><div><table><colgroup><col /><col /><col /></colgroup><tr><th><p>Parameter</p></th><th><p>Main finding</p></th></tr><tr><td><p>Feasibility</p></td><td><p>UHR coronary PCCT successful in all 20 patients</p></td></tr><tr><td><p>Median calcium score</p></td><td><p>479</p></td></tr><tr><td><p>Best reconstruction kernel</p></td><td><p><strong>Bv64</strong></p></td></tr><tr><td><p>Lowest blooming</p></td><td><p>Bv72 (39.7%)</p></td></tr><tr><td><p>Highest vessel sharpness</p></td><td><p>Bv89 (2383 ΔHU/mm)</p></td></tr><tr><td><p>Best plaque/lumen delineation</p></td><td><p>Bv64–Bv72</p></td></tr><tr><td><p>Reference reconstruction</p></td><td><p>Bv40, 0.6 mm showed highest SNR/CNR but greatest blooming</p></td></tr><tr><td><p>Recommended protocol</p></td><td><p><strong>Bv64, 0.2 mm slices, 200 mm FOV, 512×512 matrix</strong></p></td></tr></table></div><p>Source: Mergen V, Sartoretti TB, Baer-Beck M, Schmidt B, Petersilka M, Wildberger JE, Euler A, Eberhard M, Alkadhi H. Ultra-High-Resolution Coronary CT Angiography With Photon-Counting Detector CT: Feasibility and Image Characterization. Investigative Radiology. 2022;57(12):780-788. doi:10.1097/RLI.0000000000000897.</p>]]>
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