Virmani R, Burke AP, Farb A, Kolodgie FD. Pathology of the Vulnerable Plaque. J Am Coll Cardiol. 2006;47(8, Supplement):C13-8.
Article CAS PubMed Google Scholar
Stone GW, Maehara A, Lansky AJ, de Bruyne B, Cristea E, Mintz GS, et al. A Prospective Natural-History Study of Coronary Atherosclerosis. N Engl J Med. 2011;364(3):226–35.
Article CAS PubMed Google Scholar
Chang HJ, Lin FY, Lee SE, Andreini D, Bax J, Cademartiri F, et al. Coronary Atherosclerotic Precursors of Acute Coronary Syndromes. J Am Coll Cardiol. 2018;71(22):2511–22.
Article PubMed PubMed Central Google Scholar
Mintz GS, Painter JA, Pichard AD, Kent KM, Satler LF, Popma JJ, et al. Atherosclerosis in angiographically “normal” coronary artery reference segments: An intravascular ultrasound study with clinical correlations. J Am Coll Cardiol. 1995;25(7):1479–85.
Article CAS PubMed 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.
Article CAS PubMed Google Scholar
Alluri K, Joshi PH, Henry TS, Blumenthal RS, Nasir K, Blaha MJ. Scoring of coronary artery calcium scans: History, assumptions, current limitations, and future directions. Atherosclerosis. 2015;239(1):109–17.
Article CAS PubMed Google Scholar
McClelland RL, Jorgensen NW, Budoff M, Blaha MJ, Post WS, Kronmal RA, et al. 10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) With Validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study). J Am Coll Cardiol. 2015;66(15):1643–53.
Article CAS PubMed PubMed Central Google Scholar
Blaha M, Budoff MJ, Shaw LJ, Khosa F, Rumberger JA, Berman D, et al. Absence of Coronary Artery Calcification and All-Cause Mortality. JACC: Cardiovasc Imaging. 2009;2(6):692–700.
Osborne-Grinter M, Kwiecinski J, Doris M, McElhinney P, Cadet S, Adamson PD, et al. Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trial. Eur Heart J Cardiovasc Imaging. 2022;23(9):1210–21.
Naghavi M, Libby P, Falk E, Casscells SW, Litovsky S, Rumberger J, et al. From Vulnerable Plaque to Vulnerable Patient. Circulation. 2003;108(14):1664–72.
Yahagi K, Kolodgie FD, Otsuka F, Finn AV, Davis HR, Joner M, et al. Pathophysiology of native coronary, vein graft, and in-stent atherosclerosis. Nat Rev Cardiol. 2016;13(2):79.
Article CAS PubMed Google Scholar
Casscells W, Naghavi M, Willerson JT. Vulnerable Atherosclerotic Plaque. Circulation. 2003;107(16):2072–5.
Usui E, Mintz GS, Lee T, Matsumura M, Zhang Y, Hada M, et al. Prognostic impact of healed coronary plaque in non-culprit lesions assessed by optical coherence tomography. Atherosclerosis. 2020;1(309):1–7.
Di Mario C, Görge G, Peters R, Kearney P, Pinto F, Hausmann D, et al. Clinical application and image interpretation in intracoronary ultrasound. Eur Heart J. 1998;19(2):207–29.
Maehara A, Mintz GS, Bui AB, Walter OR, Castagna MT, Canos D, et al. Morphologic and angiographic features of coronary plaque rupture detected by intravascular ultrasound. J Am Coll Cardiol. 2002;40(5):904–10.
Yabushita H, Bouma BE, Houser SL, Aretz HT, Jang IK, Schlendorf KH, et al. Characterization of human atherosclerosis by optical coherence tomography. Circulation. 2002;106(13):1640–5.
Di Vito L, Agozzino M, Marco V, Ricciardi A, Concardi M, Romagnoli E, et al. Identification and quantification of macrophage presence in coronary atherosclerotic plaques by optical coherence tomography. Eur Heart J Cardiovasc Imaging. 2015;16(7):807–13.
Di Vito L, Yoon JH, Kato K, Yonetsu T, Vergallo R, Costa M, et al. Comprehensive overview of definitions for optical coherence tomography-based plaque and stent analyses. Coron Artery Dis. 2014;25(2):172–85.
Erlinge D, Maehara A, Ben-Yehuda O, Bøtker HE, Maeng M, Kjøller-Hansen L, et al. Identification of vulnerable plaques and patients by intracoronary near-infrared spectroscopy and ultrasound (PROSPECT II): a prospective natural history study. Lancet. 2021;397(10278):985–95.
Article CAS PubMed Google Scholar
Voros S, Rinehart S, Qian Z, Vazquez G, Anderson H, Murrieta L, et al. Prospective Validation of Standardized, 3-Dimensional, Quantitative Coronary Computed Tomographic Plaque Measurements Using Radiofrequency Backscatter Intravascular Ultrasound as Reference Standard in Intermediate Coronary Arterial Lesions: Results From the ATLANTA (Assessment of Tissue Characteristics, Lesion Morphology, and Hemodynamics by Angiography With Fractional Flow Reserve, Intravascular Ultrasound and Virtual Histology, and Noninvasive Computed Tomography in Atherosclerotic Plaques) I Study. JACC: Cardiovas Interv. 2011;4(2):198–208.
Benedek T, Jako B, Benedek I. Plaque Quantification by Coronary CT and Intravascular Ultrasound Identifies a Low CT Density Core as a Marker of Plaque Instability in Acute Coronary Syndromes. Int Heart J. 2014;55(1):22–8.
• Motoyama S, Sarai M, Harigaya H, Anno H, Inoue K, Hara T, et al. Computed Tomographic Angiography Characteristics of Atherosclerotic Plaques Subsequently Resulting in Acute Coronary Syndrome. J Am Coll Cardiol. 2009;54(1):49–57. (This study demonstrated that coronary plaques with large areas of low attenuation are more likely to result in acute coronary syndrome during follow-up compared to plaques without these pathologic features.This study demonstrated that coronary plaques with large areas of low attenuation are more likely to result in acute coronary syndrome during follow-up compared to plaques without these pathologic features.)
Puchner SB, Liu T, Mayrhofer T, Truong QA, Lee H, Fleg JL, 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.
Article PubMed PubMed Central Google Scholar
• Ferencik M, Mayrhofer T, Bittner DO, Emami H, Puchner SB, Lu MT, 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. (This substudy of the PROMISE trial showed that in patients with stable chest pain, high-risk plaque features on CTA are associated with future MACE.This substudy of the PROMISE trial showed that in patients with stable chest pain, high-risk plaque features on CTA are associated with future MACE.)
Article PubMed PubMed Central Google Scholar
Williams MC, Moss AJ, Dweck M, Adamson PD, Alam S, Hunter A, et al. Coronary Artery Plaque Characteristics Associated With Adverse Outcomes in the SCOT-HEART Study. J Am Coll Cardiol. 2019;73(3):291–301.
Article PubMed PubMed Central Google Scholar
Ayoub C, Erthal F, Abdelsalam MA, Murad MH, Wang Z, Erwin PJ, 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.
Min JK, Shaw LJ, Devereux RB, Okin PM, Weinsaft JW, Russo DJ, et al. Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. J Am Coll Cardiol. 2007;50(12):1161–70.
Mushtaq S, De Araujo GP, Garcia-Garcia HM, Pontone G, Bartorelli AL, Bertella E, et al. Long-Term Prognostic Effect of Coronary Atherosclerotic Burden. Circ Cardiovasc Imaging. 2015;8(2):e002332.
Hell MM, Motwani M, Otaki Y, Cadet S, Gransar H, Miranda-Peats R, et al. Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up. Eur Heart J - Cardiovasc Imaging. 2017;18(12):1331–9.
Article PubMed PubMed Central Google Scholar
Lin A, Kolossváry M, Išgum I, Maurovich-Horvat P, Slomka PJ, Dey D. Artificial intelligence: improving the efficiency of cardiovascular imaging. Expert Rev Med Devices. 2020;17(6):565–77.
Article CAS PubMed PubMed Central Google Scholar
Kolossváry M, Karády J, Szilveszter B, Kitslaar P, Hoffmann U, Merkely B, et al. Radiomic Features Are Superior to Conventional Quantitative Computed Tomographic Metrics to Identify Coronary Plaques With Napkin-Ring Sign. Circ: Cardiovasc Imaging. 2017;10(12):e006843.
Comments (0)