<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "https://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="review-article" dtd-version="1.2" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJRMIT</journal-id>
<journal-title-group><journal-title>International journal of Radiology and Medical Imaging Technology</journal-title></journal-title-group>
<publisher><publisher-name>Thomson &amp; Ryberg Publications</publisher-name></publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.62715/ijrmit.2026.v1.i1.pp1-7</article-id>
<article-id pub-id-type="publisher-id">0efb7b4ec3</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Review Article</subject></subj-group></article-categories>
<title-group><article-title>Photon-Counting Computed Tomography for Coronary Plaque Characterisation in Heavily Calcified Vessels</article-title></title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Stojanovic</surname><given-names>Nomvula</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1">*</xref></contrib>
<contrib contrib-type="author"><name><surname>Parthasarathy</surname><given-names>Yuna</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Tadesse</surname><given-names>Rafael</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<aff id="aff1"><label>1</label>Department of Medical Sciences, Vistula Center for Medical Sciences, Peru</aff>
<aff id="aff2"><label>2</label>Department of Medical Sciences, Amazon Research Institute of Medical Sciences, Switzerland</aff>
<aff id="aff3"><label>3</label>Department of Medical Sciences, Yangtze Graduate Institute of Medical Sciences, Serbia</aff>
</contrib-group>
<author-notes><corresp id="cor1">* Correspondence: <email>nomvula.stojanovic@vistula.edu</email></corresp></author-notes>
<pub-date pub-type="epub" iso-8601-date="2026-09-13"><day>13</day><month>09</month><year>2026</year></pub-date>
<volume>1</volume>
<issue>1</issue>
<fpage>1</fpage>
<lpage>7</lpage>
<history>
<date date-type="received" iso-8601-date="2026-04-18"><day>18</day><month>04</month><year>2026</year></date>
<date date-type="accepted" iso-8601-date="2026-07-01"><day>01</day><month>07</month><year>2026</year></date>
</history>
<permissions><copyright-statement>© 2026 The Author(s)</copyright-statement><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).</license-p></license></permissions>
<self-uri xlink:href="https://trpub.org/article.php?id=0efb7b4ec3"/>
<abstract><p>Coronary computed tomography angiography is the first-line non-invasive test for suspected coronary artery disease in current guidelines, yet its accuracy falls where it is most needed: in vessels carrying dense calcification. Blooming and beam hardening enlarge calcified plaque on the image, hide the adjacent lumen and obscure the non-calcified components that carry prognostic weight. Photon-counting detector computed tomography replaces the scintillator and photodiode of conventional scanners with a semiconductor that registers individual photons and sorts them by energy. The design permits smaller detector elements without loss of dose efficiency, removes electronic noise from the signal, weights low-energy photons more favourably for iodine, and provides spectral information in every scan. This narrative review explains why calcium degrades conventional coronary imaging, sets out the detector physics that bear on the problem, and examines the published evidence on stenosis grading, plaque composition, calcium scoring and spectral reconstructions in heavily calcified vessels. The technical advantages are well documented in phantom, ex vivo and early clinical work, and diagnostic accuracy against invasive angiography appears high in the first reports. What is not yet established is whether these gains change management or outcomes, and how plaque measurements made at higher resolution relate to thresholds derived on older scanners.</p></abstract>
<kwd-group kwd-group-type="author">
<kwd>Photon-counting CT</kwd>
<kwd>Coronary CT angiography</kwd>
<kwd>Coronary calcification</kwd>
<kwd>Blooming artefact</kwd>
<kwd>Plaque characterisation</kwd>
<kwd>Spectral imaging</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="sec1"><title>1. Introduction</title>
<p>Coronary computed tomography angiography (CCTA) has moved from a specialist examination to the recommended first test for many patients with stable chest pain. European and North American guidelines both give it a class I recommendation as an initial investigation in appropriately selected patients (Knuuti et al., 2020; Gulati et al., 2021), and the SCOT-HEART trial showed that a strategy including CCTA was followed at five years by fewer deaths from coronary heart disease or non-fatal myocardial infarctions than standard care alone (SCOT-HEART Investigators, 2018). The strength of the test lies in its negative predictive value: a normal scan rules out obstructive disease with great reliability.</p>
<p>Its weakness has been known for as long. Dense coronary calcification appears larger on the image than it is, a phenomenon usually called blooming, and the artefact encroaches on the lumen. In the multicentre accuracy studies carried out with 64-detector scanners, specificity fell in patients with high calcium scores (Budoff et al., 2008), and one of the principal trials excluded patients with an Agatston score above 600 (Miller et al., 2008). The patients affected are older, more often diabetic or in renal failure, and more likely to have the obstructive disease the test is meant to detect. A calcified segment that cannot be graded sends the patient on to invasive angiography or functional testing, which is the outcome CCTA was meant to avoid.</p>
<p>Photon-counting detector CT (PCCT) entered clinical use in 2021, when the first whole-body system received regulatory clearance (Rajendran et al., 2022). Several of its properties address the calcium problem directly. This review considers how far the published evidence supports the expectation that PCCT can characterise plaque, and not only grade stenosis, in heavily calcified coronary arteries.</p>
</sec>
<sec id="sec2"><title>2. Scope and Approach</title>
<p>This is a narrative review of the published literature. It draws on the technical reviews that describe photon-counting detectors, on the early phantom, ex vivo and clinical reports of coronary imaging with PCCT, and on the older body of work that defines what plaque characterisation by CT means and why calcium interferes with it. No formal search protocol or quantitative synthesis was attempted, because the clinical literature is young, heterogeneous in scanner type and reconstruction settings, and largely made up of single-centre feasibility studies. The emphasis is on mechanisms and on the kind of evidence available, so that the reader can judge new reports as they appear. The phrase &quot;heavily calcified&quot; is used in the loose clinical sense of vessels in which calcification limits interpretation on a conventional scanner, without a fixed score threshold.</p>
</sec>
<sec id="sec3"><title>3. Why Calcium Limits Conventional Coronary CT</title>
<p>Conventional scanners use energy-integrating detectors. Each element consists of a scintillator that converts X-rays to light and a photodiode that converts the light to current, and the elements are separated by reflective septa that stop light spreading to neighbours. The septa cannot be made much thinner, so shrinking the elements reduces the active area and wastes dose. The practical limit on detector pitch sets the in-plane resolution of coronary CT at a size that is a meaningful fraction of the lumen of a distal or diseased coronary segment (Willemink et al., 2018; Flohr et al., 2020).</p>
<p>Blooming follows from this. A voxel that is partly filled with calcium takes on a high attenuation value throughout, so the plaque is drawn larger than it is and the lumen smaller. Smooth reconstruction kernels, chosen to control noise, spread the effect further. Beam hardening adds dark bands beside dense calcium that can imitate low-attenuation plaque, and residual cardiac motion smears a bright object across more voxels than a faint one (Kalisz et al., 2016). The combined result is overestimation of stenosis and, just as damaging for plaque characterisation, loss of the tissue immediately around the calcium. Table 1 sets these problems beside the detector properties discussed in the next section.</p>
<table-wrap id="tbl1"><label>Table 1</label><caption><p>Problems posed by dense coronary calcification on energy-integrating CT and the photon-counting properties that bear on them</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Problem in calcified vessels</th><th>Origin in energy-integrating CT</th><th>Relevant photon-counting property</th><th>State of the evidence</th></tr></thead><tbody><tr><td>Blooming of calcified plaque</td><td>Partial-volume averaging in large voxels; smooth kernels</td><td>Smaller detector elements, sharper kernels</td><td>Consistent across phantom, ex vivo and clinical reports (Flohr et al., 2020)</td></tr><tr><td>Overestimated stenosis</td><td>Blooming encroaches on the lumen</td><td>Ultra-high-resolution acquisition</td><td>High accuracy in one high-risk cohort (Hagar et al., 2023)</td></tr><tr><td>Dark bands beside calcium</td><td>Beam hardening of a polychromatic beam</td><td>High-energy monoenergetic images</td><td>Principle established with dual-energy CT (McCollough et al., 2015)</td></tr><tr><td>Hidden non-calcified plaque</td><td>Artefact covers adjacent soft tissue</td><td>Resolution with higher soft-tissue contrast</td><td>Qualitative support; quantitative thresholds not recalibrated</td></tr><tr><td>Noise at thin slices</td><td>Electronic noise added to weak signals</td><td>Counting threshold set above the noise floor</td><td>Well documented technically (Willemink et al., 2018)</td></tr><tr><td>Lumen obscured entirely</td><td>No routine spectral information</td><td>Material decomposition and calcium subtraction</td><td>Phantom data; clinical accuracy unproven</td></tr></tbody></table></table-wrap>
<p>The loss matters because the features that carry risk are mostly not calcified. Pathological studies locate the precursor of plaque rupture in the thin-cap fibroatheroma, a lesion with a large necrotic core and often only speckled calcification (Virmani et al., 2000). On CT its correlates are low attenuation, positive remodelling, spotty calcification and the napkin-ring sign (Motoyama et al., 2009; Maurovich-Horvat et al., 2014), and in SCOT-HEART the burden of low-attenuation plaque predicted myocardial infarction more strongly than calcium score or stenosis severity (Williams et al., 2020). High-risk plaque features are now reporting modifiers in CAD-RADS 2.0 (Cury et al., 2022). In a heavily calcified artery they are the first things to disappear behind artefact.</p>
</sec>
<sec id="sec4"><title>4. Photon-Counting Detectors and the Coronary Arteries</title>
<p>A photon-counting detector is a slab of semiconductor, cadmium telluride or cadmium zinc telluride in most designs and silicon in one, across which a high voltage is applied. An absorbed X-ray photon releases a cloud of charge that is swept to pixelated anodes and produces a pulse whose height is proportional to the energy of the photon. Electronics compare each pulse with a set of thresholds and count it in the corresponding energy bin (Taguchi and Iwanczyk, 2013; Danielsson et al., 2021). There is no light, and so no need for septa. Figure 1 links the resulting properties to their consequences for calcified vessels.</p>
<fig id="fig1"><label>Figure 1</label><caption><p>Properties of photon-counting detectors and their consequences for imaging heavily calcified coronary arteries</p></caption><graphic xlink:href="IJRMIT_V1I1_2026_01_Figure1.png" mimetype="image" mime-subtype="png"/></fig>
<p>Four consequences follow. First, the pixels can be made much smaller without sacrificing geometric efficiency; the first clinical system offers an ultra-high-resolution mode with a slice thickness of 0.2 mm (Rajendran et al., 2022). Second, the lowest threshold is set above the level of electronic noise, which is therefore excluded from the count instead of added to the signal. Third, every photon contributes one count whatever its energy, whereas an energy-integrating detector gives more weight to high-energy photons that carry little contrast information; the contrast of iodine against soft tissue rises as a result. Fourth, energy-resolved data are acquired in every examination, at full temporal resolution and without the need to select a dual-energy mode in advance (Leng et al., 2019).</p>
<p>The spectral data support the same reconstructions as dual-energy CT, which rest on the observation that attenuation in the diagnostic range can be expressed as a combination of two basis functions (Alvarez and Macovski, 1976). Virtual monoenergetic images at low energies raise iodine contrast; at high energies they suppress blooming and beam hardening at the price of a fainter lumen. Material decomposition yields iodine maps and virtual non-contrast images, and can in principle subtract calcium (McCollough et al., 2015). The detectors are not ideal. Charge shared between neighbouring pixels and fluorescence escape distort the recorded spectrum, and at high flux pulses pile up and are miscounted, so spectral separation is good but falls short of what the bin structure alone would suggest (Willemink et al., 2018).</p>
</sec>
<sec id="sec5"><title>5. Evidence in Calcified Coronary Disease</title>
<p>The published evidence can be grouped under three headings: the grading of stenosis, the description of plaque composition, and the use of spectral reconstructions for calcium scoring and calcium removal. The strength of the evidence declines in that order.</p>
<sec id="sec5-2"><title>5.1. Stenosis grading</title>
<p>The clearest evidence concerns blooming and lumen visibility. Phantom and ex vivo studies summarised in the technical reviews consistently show that calcified plaque occupies a smaller apparent volume, with sharper edges, on photon-counting images than on energy-integrating images of the same object, and that the gain grows as slices become thinner and kernels sharper (Flohr et al., 2020; Leng et al., 2019). The first human coronary examinations on a prototype system reported better subjective image quality and better conspicuity of calcifications, stents and non-calcified plaque than a dual-layer scanner in the same patients (Si-Mohamed et al., 2022).</p>
<p>Feasibility work with the clinical dual-source system showed that ultra-high-resolution coronary angiography can be acquired with electrocardiographic gating and that sharp vascular kernels improve the delineation of plaque and lumen, with noise rising steeply as the kernel sharpens (Mergen et al., 2022). The comparison with invasive angiography that matters most so far was made in patients assessed before transcatheter aortic valve replacement, a group with a high prevalence of dense coronary calcium and of previous stenting; ultra-high-resolution PCCT showed high accuracy for obstructive disease in that setting (Hagar et al., 2023). The finding is encouraging because it comes from the population in which conventional CCTA is weakest. It is a single-centre result, and the reference standard was angiographic stenosis and not a measure of flow limitation.</p>
</sec>
<sec id="sec5-3"><title>5.2. Plaque composition</title>
<p>Evidence on composition is thinner and more indirect. Higher resolution should, and in ex vivo comparisons does, reveal small calcifications, thin fibrous rims and lipid-rich cores that are blurred together on standard images. The qualitative high-risk features described on older scanners are therefore likely to be seen more often and with more confidence (Maurovich-Horvat et al., 2014). Quantification is another matter. Plaque volumes are obtained by assigning voxels to calcified, fibrous or low-attenuation classes according to fixed attenuation thresholds, such as the 30 HU boundary used for low-attenuation plaque (Motoyama et al., 2009). When blooming shrinks, voxels formerly counted as calcium are reassigned, and when the energy of a monoenergetic reconstruction changes, every attenuation value shifts.</p>
<p>It follows that plaque burdens measured on PCCT cannot be assumed to be interchangeable with those from the energy-integrating scanners on which the prognostic thresholds were derived (Williams et al., 2020). A smaller calcified volume and a different non-calcified volume in the same patient is the expected result of better resolution and not a sign of error, but it means that risk categories would need to be recalibrated before they are applied. In a heavily calcified vessel the direction of the change favours interpretation, since tissue once hidden becomes measurable. Whether newly visible low-attenuation plaque beside dense calcium carries the same prognostic meaning as low-attenuation plaque in a lightly calcified vessel has not been tested.</p>
</sec>
<sec id="sec5-4"><title>5.3. Calcium scoring and spectral reconstructions</title>
<p>The Agatston score was defined with a threshold of 130 HU under specific acquisition conditions (Agatston et al., 1990), and decades of risk data depend on that definition. Photon-counting systems reproduce conventional conditions through monoenergetic reconstruction at a matched energy, and phantom work indicates that scores comparable to conventional values can be obtained in this way (Flohr et al., 2020). Virtual non-contrast images raise the possibility of deriving a calcium score from the angiographic acquisition alone. Agreement with true unenhanced scoring is imperfect in the dual-energy literature, because iodine and calcium are not perfectly separated (McCollough et al., 2015), and the same caution applies here.</p>
<p>The reverse operation, removing calcium to leave a clean lumen, is the most direct spectral answer to the calcified vessel. Calcium-subtraction algorithms based on photon-counting data have been described and tested in phantoms, and they are attractive for vessels with circumferential calcification. Their difficulty is the one that affects all material decomposition near a partial-volume boundary: a voxel containing both calcium and iodine may be assigned wrongly, and motion makes the error worse. High-energy monoenergetic images are a simpler and more robust option that reduces blooming without any classification step, though they lower lumen contrast at the same time (Leng et al., 2019). No spectral reconstruction has yet been shown to improve diagnostic accuracy over the ultra-high-resolution images themselves.</p>
</sec>
</sec>
<sec id="sec6"><title>6. Limitations of the Technology and of the Evidence</title>
<p>Resolution is bought with noise. Halving the voxel dimensions leaves far fewer photons in each voxel, and sharp kernels amplify what noise there is, so ultra-high-resolution coronary images depend on iterative or learned denoising and, in large patients, on a higher dose (Mergen et al., 2022). Temporal resolution is set by gantry rotation and source geometry and is not improved by the detector. A calcified plaque in a vessel that moves during acquisition will still blur, and at finer spatial resolution a given displacement spans more voxels (Kalisz et al., 2016). Heart rate control therefore remains as necessary as before.</p>
<p>The evidence base has its own limits. Most reports come from a small number of centres with early access to one manufacturer&#x27;s system, alongside prototypes built on different sensor materials, and results from one design may not transfer to another (Danielsson et al., 2021). Study populations are modest and often selected. Reconstruction settings vary between reports, which makes plaque measurements hard to compare. Reference standards are usually invasive angiography for stenosis and, for composition, either nothing or an older CT scan; histological or intravascular validation in living patients is scarce. Above all, there are no trials showing that a PCCT-guided strategy changes downstream testing, treatment or events in patients with heavy calcification, which is the standard by which CCTA itself was eventually judged (SCOT-HEART Investigators, 2018).</p>
</sec>
<sec id="sec7"><title>7. Gaps and Future Work</title>
<p>Three questions seem most pressing. The first is diagnostic: multicentre accuracy studies in patients with high calcium scores, using invasive physiological measurement as the reference, would establish whether patients now sent directly to the catheter laboratory can safely be imaged first. The second is metrological: thresholds, kernels and monoenergetic levels for plaque quantification need to be standardised, and the relation between photon-counting and conventional plaque volumes characterised, before reporting systems such as CAD-RADS can incorporate the new measurements (Cury et al., 2022). The third is prognostic, and can be answered only by follow-up of cohorts scanned with the new detectors.</p>
<p>Further technical development is likely to help. More energy bins and better correction for charge sharing would sharpen material separation, and K-edge imaging of contrast agents other than iodine has been demonstrated experimentally as a way of separating lumen from calcium entirely (Willemink et al., 2018). These remain research directions. For the present, the practical gain for calcified vessels comes mainly from spatial resolution.</p>
</sec>
<sec id="sec8"><title>8. Conclusion</title>
<p>Photon-counting CT attacks the calcium problem at its source. Smaller detector elements reduce the partial-volume effect that produces blooming, the exclusion of electronic noise and the more favourable weighting of low-energy photons make the smaller voxels usable, and spectral data offer further means of suppressing or subtracting calcium. Early clinical reports indicate that stenosis can be graded accurately in patients who would have been poor candidates for CCTA a few years ago, and that plaque beside dense calcification can be seen where it was previously hidden. The measurements that describe that plaque are not yet standardised, and their prognostic meaning has not been established on the new scanners. Until multicentre accuracy and outcome data are available, PCCT in heavily calcified vessels is best regarded as a substantial technical advance whose clinical value is probable but unproven.</p>
</sec>
<sec id="sec9"><title>Conflict of interest</title>
<p>To be declared by the author(s) before publication.</p>
</sec>
<sec id="sec10"><title>Funding</title>
<p>To be declared by the author(s) before publication.</p>
</sec>
</body>
<back>
<ref-list><title>References</title>
<ref id="ref1"><label>1</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Agatston, A.S., Janowitz, W.R., Hildner, F.J., Zusmer, N.R., Viamonte, M. and Detrano, R.</string-name></person-group> (<year>1990</year>). <article-title>Quantification of coronary artery calcium using ultrafast computed tomography</article-title>. <source>Journal of the American College of Cardiology</source>, <volume>15(4)</volume>, <fpage>827-832</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/0735-1097(90)90282-T">https://doi.org/10.1016/0735-1097(90)90282-T</ext-link></mixed-citation></ref>
<ref id="ref2"><label>2</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Alvarez, R.E. and Macovski, A.</string-name></person-group> (<year>1976</year>). <article-title>Energy-selective reconstructions in X-ray computerized tomography</article-title>. <source>Physics in Medicine and Biology</source>, <volume>21(5)</volume>, <fpage>733-744</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1088/0031-9155/21/5/002">https://doi.org/10.1088/0031-9155/21/5/002</ext-link></mixed-citation></ref>
<ref id="ref3"><label>3</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Budoff, M.J., Dowe, D., Jollis, J.G., et al.</string-name></person-group> (<year>2008</year>). <article-title>Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: Results from the prospective multicenter ACCURACY trial</article-title>. <source>Journal of the American College of Cardiology</source>, <volume>52(21)</volume>, <fpage>1724-1732</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jacc.2008.07.031">https://doi.org/10.1016/j.jacc.2008.07.031</ext-link></mixed-citation></ref>
<ref id="ref4"><label>4</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Cury, R.C., Leipsic, J., Abbara, S., et al.</string-name></person-group> (<year>2022</year>). <article-title>CAD-RADS 2.0: 2022 Coronary Artery Disease Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America Society of Cardiovascular Imaging (NASCI)</article-title>. <source>Journal of Cardiovascular Computed Tomography</source>, <volume>16(6)</volume>, <fpage>536-557</fpage></mixed-citation></ref>
<ref id="ref5"><label>5</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Danielsson, M., Persson, M. and Sjölin, M.</string-name></person-group> (<year>2021</year>). <article-title>Photon-counting x-ray detectors for CT</article-title>. <source>Physics in Medicine and Biology</source>, <volume>66(3)</volume>, <fpage>03TR01</fpage></mixed-citation></ref>
<ref id="ref6"><label>6</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Flohr, T., Petersilka, M., Henning, A., Ulzheimer, S., Ferda, J. and Schmidt, B.</string-name></person-group> (<year>2020</year>). <article-title>Photon-counting CT review</article-title>. <source>Physica Medica</source>, <volume>79</volume>, <fpage>126-136</fpage></mixed-citation></ref>
<ref id="ref7"><label>7</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Gulati, M., Levy, P.D., Mukherjee, D., et al.</string-name></person-group> (<year>2021</year>). <article-title>2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR guideline for the evaluation and diagnosis of chest pain: A report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines</article-title>. <source>Circulation</source>, <volume>144(22)</volume>, <fpage>e368-e454</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1161/CIR.0000000000001029">https://doi.org/10.1161/CIR.0000000000001029</ext-link></mixed-citation></ref>
<ref id="ref8"><label>8</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Hagar, M.T., Soschynski, M., Saffar, R., et al.</string-name></person-group> (<year>2023</year>). <article-title>Accuracy of ultrahigh-resolution photon-counting CT for detecting coronary artery disease in a high-risk population</article-title>. <source>Radiology</source>, <volume>307(5)</volume>, <fpage>e223305</fpage></mixed-citation></ref>
<ref id="ref9"><label>9</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Kalisz, K., Buethe, J., Saboo, S.S., Abbara, S., Halliburton, S. and Rajiah, P.</string-name></person-group> (<year>2016</year>). <article-title>Artifacts at cardiac CT: Physics and solutions</article-title>. <source>RadioGraphics</source>, <volume>36(7)</volume>, <fpage>2064-2083</fpage></mixed-citation></ref>
<ref id="ref10"><label>10</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Knuuti, J., Wijns, W., Saraste, A., et al.</string-name></person-group> (<year>2020</year>). <article-title>2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes</article-title>. <source>European Heart Journal</source>, <volume>41(3)</volume>, <fpage>407-477</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1093/eurheartj/ehz425">https://doi.org/10.1093/eurheartj/ehz425</ext-link></mixed-citation></ref>
<ref id="ref11"><label>11</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Leng, S., Bruesewitz, M., Tao, S., et al.</string-name></person-group> (<year>2019</year>). <article-title>Photon-counting detector CT: System design and clinical applications of an emerging technology</article-title>. <source>RadioGraphics</source>, <volume>39(3)</volume>, <fpage>729-743</fpage></mixed-citation></ref>
<ref id="ref12"><label>12</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Maurovich-Horvat, P., Ferencik, M., Voros, S., Merkely, B. and Hoffmann, U.</string-name></person-group> (<year>2014</year>). <article-title>Comprehensive plaque assessment by coronary CT angiography</article-title>. <source>Nature Reviews Cardiology</source>, <volume>11(7)</volume>, <fpage>390-402</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1038/nrcardio.2014.60">https://doi.org/10.1038/nrcardio.2014.60</ext-link></mixed-citation></ref>
<ref id="ref13"><label>13</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>McCollough, C.H., Leng, S., Yu, L. and Fletcher, J.G.</string-name></person-group> (<year>2015</year>). <article-title>Dual- and multi-energy CT: Principles, technical approaches, and clinical applications</article-title>. <source>Radiology</source>, <volume>276(3)</volume>, <fpage>637-653</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1148/radiol.2015142631">https://doi.org/10.1148/radiol.2015142631</ext-link></mixed-citation></ref>
<ref id="ref14"><label>14</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Mergen, V., Sartoretti, T., Baer-Beck, M., et al.</string-name></person-group> (<year>2022</year>). <article-title>Ultra-high-resolution coronary CT angiography with photon-counting detector CT: Feasibility and image characterization</article-title>. <source>Investigative Radiology</source>, <volume>57(12)</volume>, <fpage>780-788</fpage></mixed-citation></ref>
<ref id="ref15"><label>15</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Miller, J.M., Rochitte, C.E., Dewey, M., et al.</string-name></person-group> (<year>2008</year>). <article-title>Diagnostic performance of coronary angiography by 64-row CT</article-title>. <source>New England Journal of Medicine</source>, <volume>359(22)</volume>, <fpage>2324-2336</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1056/NEJMoa0806576">https://doi.org/10.1056/NEJMoa0806576</ext-link></mixed-citation></ref>
<ref id="ref16"><label>16</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Motoyama, S., Sarai, M., Harigaya, H., et al.</string-name></person-group> (<year>2009</year>). <article-title>Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome</article-title>. <source>Journal of the American College of Cardiology</source>, <volume>54(1)</volume>, <fpage>49-57</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jacc.2009.02.068">https://doi.org/10.1016/j.jacc.2009.02.068</ext-link></mixed-citation></ref>
<ref id="ref17"><label>17</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Rajendran, K., Petersilka, M., Henning, A., et al.</string-name></person-group> (<year>2022</year>). <article-title>First clinical photon-counting detector CT system: Technical evaluation</article-title>. <source>Radiology</source>, <volume>303(1)</volume>, <fpage>130-138</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1148/radiol.212579">https://doi.org/10.1148/radiol.212579</ext-link></mixed-citation></ref>
<ref id="ref18"><label>18</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>SCOT-HEART Investigators</string-name></person-group> (<year>2018</year>). <article-title>Coronary CT angiography and 5-year risk of myocardial infarction</article-title>. <source>New England Journal of Medicine</source>, <volume>379(10)</volume>, <fpage>924-933</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1056/NEJMoa1805971">https://doi.org/10.1056/NEJMoa1805971</ext-link></mixed-citation></ref>
<ref id="ref19"><label>19</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Si-Mohamed, S.A., Boccalini, S., Lacombe, H., et al.</string-name></person-group> (<year>2022</year>). <article-title>Coronary CT angiography with photon-counting CT: First-in-human results</article-title>. <source>Radiology</source>, <volume>303(2)</volume>, <fpage>303-313</fpage></mixed-citation></ref>
<ref id="ref20"><label>20</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Taguchi, K. and Iwanczyk, J.S.</string-name></person-group> (<year>2013</year>). <article-title>Vision 20/20: Single photon counting x-ray detectors in medical imaging</article-title>. <source>Medical Physics</source>, <volume>40(10)</volume>, <fpage>100901</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1118/1.4820371">https://doi.org/10.1118/1.4820371</ext-link></mixed-citation></ref>
<ref id="ref21"><label>21</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Virmani, R., Kolodgie, F.D., Burke, A.P., Farb, A. and Schwartz, S.M.</string-name></person-group> (<year>2000</year>). <article-title>Lessons from sudden coronary death: A comprehensive morphological classification scheme for atherosclerotic lesions</article-title>. <source>Arteriosclerosis, Thrombosis, and Vascular Biology</source>, <volume>20(5)</volume>, <fpage>1262-1275</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1161/01.ATV.20.5.1262">https://doi.org/10.1161/01.ATV.20.5.1262</ext-link></mixed-citation></ref>
<ref id="ref22"><label>22</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Willemink, M.J., Persson, M., Pourmorteza, A., Pelc, N.J. and Fleischmann, D.</string-name></person-group> (<year>2018</year>). <article-title>Photon-counting CT: Technical principles and clinical prospects</article-title>. <source>Radiology</source>, <volume>289(2)</volume>, <fpage>293-312</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1148/radiol.2018172656">https://doi.org/10.1148/radiol.2018172656</ext-link></mixed-citation></ref>
<ref id="ref23"><label>23</label><mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Williams, M.C., Kwiecinski, J., Doris, M., et al.</string-name></person-group> (<year>2020</year>). <article-title>Low-attenuation noncalcified plaque on coronary computed tomography angiography predicts myocardial infarction: Results from the multicenter SCOT-HEART trial (Scottish Computed Tomography of the HEART)</article-title>. <source>Circulation</source>, <volume>141(18)</volume>, <fpage>1452-1462</fpage> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1161/CIRCULATIONAHA.119.044720">https://doi.org/10.1161/CIRCULATIONAHA.119.044720</ext-link></mixed-citation></ref>
</ref-list>
</back>
</article>