Gulati M, et al. 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. Circulation. 2021;144(22):e368–454. https://doi.org/10.1161/CIR.0000000000001029.
Williams MC, Earls JP, Hecht H. Quantitative assessment of atherosclerotic plaque, recent progress and current limitations. J Cardiovasc Comput Tomogr. 2022;16(2):124–37. https://doi.org/10.1016/J.JCCT.2021.07.001. Very comprehensive review of the latest available solutions for CCTA advanced plaque analysis and their most common pitfalls.
van Veelen A, van der Sangen NMR, Henriques JPS, Claessen BEPM. Identification and treatment of the vulnerable coronary plaque. Rev Cardiovasc Med. 2022;23(1). https://doi.org/10.31083/J.RCM2301039.
Finn AV, Nakano M, Narula J, Kolodgie FD, Virmani R. Concept of vulnerable/unstable plaque. Arterioscler Thromb Vasc Biol. 2010;30(7):1282–92. https://doi.org/10.1161/ATVBAHA.108.179739.
Article CAS PubMed Google Scholar
Gaba P, Gersh BJ, Muller J, Narula J, Stone GW. Evolving concepts of the vulnerable atherosclerotic plaque and the vulnerable patient: implications for patient care and future research. Nat Rev Cardiol. 2022; Sep 23. https://doi.org/10.1038/S41569-022-00769-8.
Narula J, et al. SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: a report of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2021;15(3):192–217. https://doi.org/10.1016/J.JCCT.2020.11.001.
Cury RC, et al. CAD-RADSTM 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). J Cardiovasc Comput Tomogr. 2022;16(6):536–57. https://doi.org/10.1016/j.jcct.2022.07.002.
Virmani R, Burke AP, Farb A, Kolodgie FD. Pathology of the unstable plaque. Prog Cardiovasc Dis. 2002;44(5):349–56. https://doi.org/10.1053/PCAD.2002.122475.
Motoyama S, et al. Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol. 2009;54(1):49–57. https://doi.org/10.1016/J.JACC.2009.02.068.
Puchner SB, et al. High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II trial. J Am Coll Cardiol. 2014;64(7):684–92. https://doi.org/10.1016/j.jacc.2014.05.039.
Article PubMed PubMed Central Google Scholar
Shaw LJ et al. Society of Cardiovascular Computed Tomography/North American Society of Cardiovascular Imaging - Expert Consensus Document on Coronary CT Imaging of Atherosclerotic Plaque. J Cardiovasc Comput Tomogr. 2021;15(2):93–109. https://doi.org/10.1016/J.JCCT.2020.11.002. Expert consensus in how to optimize the imaging of coronary atherosclerosis by CTCA and what features should be stated in the report.
van Veelen A, van der Sangen NMR, Delewi R, Beijk MAM, Henriques JPS, Claessen BEPM. Detection of vulnerable coronary plaques using invasive and non-invasive imaging modalities. J Clin Med. 2022;11(5):1361. https://doi.org/10.3390/JCM11051361.
Article PubMed PubMed Central Google Scholar
Achenbach S. Imaging the vulnerable plaque on coronary CTA. JACC Cardiovasc Imaging. 2020;13(6):1418–21. https://doi.org/10.1016/J.JCMG.2019.11.006.
Antonopoulos AS, Angelopoulos A, Tsioufis K, Antoniades C, Tousoulis D. Cardiovascular risk stratification by coronary computed tomography angiography imaging: current state-of-the-art. Eur J Prev Cardiol. 2022;29(4):608–24. https://doi.org/10.1093/EURJPC/ZWAB067.
Seifarth H, et al. Histopathological correlates of the napkin-ring sign plaque in coronary CT angiography. Atherosclerosis. 2012;224(1):90–6. https://doi.org/10.1016/J.ATHEROSCLEROSIS.2012.06.021.
Article CAS PubMed Google Scholar
Hoffmann U, et al. Noninvasive assessment of plaque morphology and composition in culprit and stable lesions in acute coronary syndrome and stable lesions in stable angina by multidetector computed tomography. J Am Coll Cardiol. 2006;47(8):1655–62. https://doi.org/10.1016/J.JACC.2006.01.041.
Motoyama S, et al. Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes. J Am Coll Cardiol. 2007;50(4):319–26. https://doi.org/10.1016/J.JACC.2007.03.044.
Kitagawa T, et al. Characterization of noncalcified coronary plaques and identification of culprit lesions in patients with acute coronary syndrome by 64-slice computed tomography. JACC Cardiovasc Imaging. 2009;2(2):153–60. https://doi.org/10.1016/J.JCMG.2008.09.015.
Pflederer T, et al. Characterization of culprit lesions in acute coronary syndromes using coronary dual-source CT angiography. Atherosclerosis. 2010;211(2):437–44. https://doi.org/10.1016/J.ATHEROSCLEROSIS.2010.02.001.
Article CAS PubMed Google Scholar
Kim SY, et al. The culprit lesion score on multi-detector computed tomography can detect vulnerable coronary artery plaque. Int J Cardiovasc Imaging. 2010;26(Suppl 2):245–52. https://doi.org/10.1007/S10554-010-9712-2.
Ferencik M, et al. A computed tomography-based coronary lesion score to predict acute coronary syndrome among patients with acute chest pain and significant coronary stenosis on coronary computed tomographic angiogram. Am J Cardiol. 2012;110(2):183–9. https://doi.org/10.1016/J.AMJCARD.2012.02.066.
Article PubMed PubMed Central Google Scholar
Otsuka K, et al. Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome. JACC Cardiovasc Imaging. 2013;6(4):448–57. https://doi.org/10.1016/J.JCMG.2012.09.016.
Motoyama S, et al. Plaque characterization by coronary computed tomography angiography and the likelihood of acute coronary events in mid-term follow-up. J Am Coll Cardiol. 2015;66(4):337–46. https://doi.org/10.1016/J.JACC.2015.05.069.
Chang HJ, et al. Coronary atherosclerotic precursors of acute coronary syndromes. J Am Coll Cardiol. 2018;71(22):2511–22. https://doi.org/10.1016/J.JACC.2018.02.079.
Article PubMed PubMed Central Google Scholar
Williams MC, et al. Coronary artery plaque characteristics associated with adverse outcomes in the SCOT-HEART study. J Am Coll Cardiol. 2019;73(3):291–301. https://doi.org/10.1016/J.JACC.2018.10.066.
Article PubMed PubMed Central Google Scholar
Lu G, et al. Coronary computed tomography angiography assessment of high-risk plaques in predicting acute coronary syndrome. Front Cardiovasc Med. 2021;8:743538. https://doi.org/10.3389/FCVM.2021.743538.
Article CAS PubMed PubMed Central Google Scholar
Maurovich-Horvat P, Ferencik M, Voros S, Merkely B, Hoffmann U. Comprehensive plaque assessment by coronary CT angiography. Nat Rev Cardiol. 2014;11(7):390–402. https://doi.org/10.1038/nrcardio.2014.60.
Ferencik M, et al. Use of high-risk coronary atherosclerotic plaque detection for risk stratification of patients with stable chest pain: a secondary analysis of the PROMISE randomized clinical trial. JAMA Cardiol. 2018;3(2):144–52. https://doi.org/10.1001/JAMACARDIO.2017.4973.
Article PubMed PubMed Central Google Scholar
Chang HJ, et al. Coronary atherosclerotic precursors of acute coronary syndromes. J Am Coll Cardiol. 2018;71(22):2511–22. https://doi.org/10.1016/J.JACC.2018.02.079.
Article PubMed PubMed Central Google Scholar
Bing R, Loganath K, Adamson P, Newby D, Moss A. Non-invasive imaging of high-risk coronary plaque: the role of computed tomography and positron emission tomography. Br J Radiol. 2020;93(1113):20190740. https://doi.org/10.1259/BJR.20190740.
Razavi AC, et al. Evolving role of calcium density in coronary artery calcium scoring and atherosclerotic cardiovascular disease risk. JACC Cardiovasc Imaging. 2022;15(9):1648–62. https://doi.org/10.1016/J.JCMG.2022.02.026.
Rozanski A, Berman DS. The synergistic use of coronary artery calcium imaging and noninvasive myocardial perfusion imaging for detecting subclinical atherosclerosis and myocardial ischemia. Curr Cardiol Rep. 2018;20(7):59. https://doi.org/10.1007/S11886-018-1001-Z.
Fathala A, Aboulkheir M, Bukhari S, Shoukri MM, Abouzied MM. Benefits of adding coronary calcium score scan to stress myocardial perfusion positron emission tomography imaging. World J Nucl Med. 2019;18(2):149–53. https://doi.org/10.4103/WJNM.WJNM_34_18.
Article PubMed PubMed Central Google Scholar
Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M, Detrano R. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990;15(4):827–32. https://doi.org/10.1016/0735-1097(90)90282-T.
Article CAS PubMed Google Scholar
Ayoub C, et al. Prognostic value of segment involvement score compared to other measures of coronary atherosclerosis by computed tomography: a systematic review and meta-analysis. J Cardiovasc Comput Tomogr. 2017;11(4):258–67. https://doi.org/10.1016/J.JCCT.2017.05.001.
Leaman DM, Brower RW, Meester GT, Serruys P, van den Brand M. Coronary artery atherosclerosis: severity of the disease, severity of angina pectoris and compromised left ventricular function. Circulation. 1981;63(2):285–92. https://doi.org/10.1161/01.CIR.63.2.285.
Article CAS PubMed Google Scholar
de Araújo Gonçalves P, et al. Coronary computed tomography angiography-adapted Leaman score as a tool to noninvasively quantify total coronary atherosclerotic burden. Int J Cardiovasc Imaging. 2013;29(7):1575–84. https://doi.org/10.1007/S10554-013-0232-8.
Min JK, et al. Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. J Am Coll Cardio.l. 2007;50(12):1161–70. https://doi.org/10.1016/J.JACC.2007.03.067.
Miller JM, et al. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med. 2008;359(22):2324–36. https://doi.org/10.1056/NEJMOA0806576.
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