Yokoya K, Takatsu H, Suzuki T, Hosokawa H, Ojio S, Matsubara T, et al. Process of progression of coronary artery lesions from mild or moderate stenosis to moderate or severe stenosis: a study based on four serial coronary arteriograms per year. Circulation. 1999;100:903–9.

Article  CAS  PubMed  Google Scholar 

Ahmadi A, Leipsic J, Blankstein R, Taylor C, Hecht H, Stone GW, et al. Do plaques rapidly progress prior to myocardial infarction? The interplay between plaque vulnerability and progression. Circ Res. 2015;117:99–104.

Article  CAS  PubMed  Google Scholar 

Samady H, Eshtehardi P, McDaniel MC, Suo J, Dhawan SS, Maynard C, et al. Coronary artery wall shear stress is associated with progression and transformation of atherosclerotic plaque and arterial remodeling in patients with coronary artery disease. Circulation. 2011;124:779–88.

Article  CAS  PubMed  Google Scholar 

Zhao Z, Witzenbichler B, Mintz GS, Jaster M, Choi SY, Wu X, et al. Dynamic nature of nonculprit coronary artery lesion morphology in STEMI: a serial IVUS analysis from the HORIZONS-AMI trial. JACC Cardiovasc Imaging. 2013;6:86–95.

Article  PubMed  Google Scholar 

Tomey MI, Narula J, Kovacic JC. Advances in the understanding of plaque composition and treatment options: year in review. J Am Coll Cardiol. 2014;63:1604–16.

Article  PubMed  Google Scholar 

Han D, Kolli KK, Al’Aref SJ, Baskaran L, van Rosendael AR, Gransar H, et al. Machine learning framework to identify individuals at risk of rapid progression of coronary atherosclerosis: from the paradigm registry. J Am Heart Assoc. 2020;9:e013958.

Article  PubMed  PubMed Central  Google Scholar 

Versteylen MO, Kietselaer BL, Dagnelie PC, Joosen IA, Dedic A, Raaijmakers RH, et al. Additive value of semiautomated quantification of coronary artery disease using cardiac computed tomographic angiography to predict future acute coronary syndrome. J Am Coll Cardiol. 2013;61:2296–305.

Article  PubMed  Google Scholar 

Lee SE, Chang HJ, Sung JM, Park HB, Heo R, Rizvi A, et al. Effects of statins on coronary atherosclerotic plaques: the PARADIGM study. JACC Cardiovasc Imaging. 2018;11:1475–84.

Article  PubMed  Google Scholar 

Lee SE, Chang HJ, Rizvi A, Hadamitzky M, Kim YJ, Conte E, et al. Rationale and design of the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging (PARADIGM) registry: A comprehensive exploration of plaque progression and its impact on clinical outcomes from a multicenter serial coronary computed tomographic angiography study. Am Heart J. 2016;182:72–9.

Article  PubMed  Google Scholar 

Leipsic J, Abbara S, Achenbach S, Cury R, Earls JP, Mancini GJ, et al. SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. J Cardiovasc Comput Tomogr. 2014;8:342–58.

Article  PubMed  Google Scholar 

Abbara S, Blanke P, Maroules CD, Cheezum M, Choi AD, Han BK, et al. SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee: Endorsed by the North American Society for Cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr. 2016;10:435–49.

Article  PubMed  Google Scholar 

Park HB, Lee BK, Shin S, Heo R, Arsanjani R, Kitslaar PH, et al. Clinical feasibility of 3D automated coronary atherosclerotic plaque quantification algorithm on coronary computed tomography angiography: comparison with intravascular ultrasound. Eur Radiol. 2015;25:3073–83.

Article  PubMed  Google Scholar 

Pundziute G, Schuijf JD, Jukema JW, Decramer I, Sarno G, Vanhoenacker PK, et al. Evaluation of plaque characteristics in acute coronary syndromes: non-invasive assessment with multi-slice computed tomography and invasive evaluation with intravascular ultrasound radiofrequency data analysis. Eur Heart J. 2008;29:2373–81.

Article  PubMed  Google Scholar 

de Graaf MA, Broersen A, Kitslaar PH, Roos CJ, Dijkstra J, Lelieveldt BP, et al. Automatic quantification and characterization of coronary atherosclerosis with computed tomography coronary angiography: cross-correlation with intravascular ultrasound virtual histology. Int J Cardiovasc Imaging. 2013;29:1177–90.

Article  PubMed  Google Scholar 

Nakazato R, Shalev A, Doh JH, Koo BK, Gransar H, Gomez MJ, et al. Aggregate plaque volume by coronary computed tomography angiography is superior and incremental to luminal narrowing for diagnosis of ischemic lesions of intermediate stenosis severity. J Am Coll Cardiol. 2013;62:460–7.

Article  PubMed  Google Scholar 

Nicholls SJ, Hsu A, Wolski K, Hu B, Bayturan O, Lavoie A, et al. Intravascular ultrasound-derived measures of coronary atherosclerotic plaque burden and clinical outcome. J Am Coll Cardiol. 2010;55:2399–407.

Article  PubMed  Google Scholar 

American Diabetes Association. 6. Glycemic targets: standards of medical care in diabetes. 2018. Diabetes Care. 2018;41:S55-64.

Lee W, Yoon YE, Kwon O, Lee H, Park HE, Chun EJ, et al. Evaluation of coronary artery calcium progression in asymptomatic individuals with an initial score of zero. Korean Circ J. 2019;49:448–57.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Valenti V, Ó Hartaigh B, Heo R, Cho I, Schulman-Marcus J, Gransar H, et al. A 15-year warranty period for asymptomatic individuals without coronary artery calcium: A prospective follow-up of 9,715 individuals. JACC Cardiovasc Imaging. 2015;8:900–9.

Article  PubMed  PubMed Central  Google Scholar 

Lehmann N, Erbel R, Mahabadi AA, Rauwolf M, Möhlenkamp S, Moebus S, et al. Value of progression of coronary artery calcification for risk prediction of coronary and cardiovascular events: result of the HNR Study (Heinz Nixdorf Recall). Circulation. 2018;137:665–79.

Article  PubMed  PubMed Central  Google Scholar 

Shi R, Shi K, Yang ZG, Guo YK, Diao KY, Gao Y, et al. Serial coronary computed tomography angiography-verified coronary plaque progression: comparison of stented patients with or without diabetes. Cardiovasc Diabetol. 2019;18:123.

Article  PubMed  PubMed Central  Google Scholar 

Yang J, Dou G, Tesche C, De Cecco CN, Jacobs BE, Schoepf UJ, et al. Progression of coronary atherosclerotic plaque burden and relationship with adverse cardiovascular event in asymptomatic diabetic patients. BMC Cardiovasc Disord. 2019;19:39.

Article  PubMed  PubMed Central  Google Scholar 

Kim U, Leipsic JA, Sellers SL, Shao M, Blanke P, Hadamitzky M, et al. Natural history of diabetic coronary atherosclerosis by quantitative measurement of serial coronary computed tomographic angiography: results of the PARADIGM Study. JACC Cardiovasc Imaging. 2018;11:1461–71.

Article  PubMed  Google Scholar 

Won KB, Lee BK, Park HB, Heo R, Lee SE, Rizvi A, et al. Quantitative assessment of coronary plaque volume change related to triglyceride glucose index: The Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. Cardiovasc Diabetol. 2020;19:34.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Won KB, Heo R, Park HB, Lee BK, Lin FY, Hadamitzky M, et al. Atherogenic index of plasma and the risk of rapid progression of coronary atherosclerosis beyond traditional risk factors. Atherosclerosis. 2021;324:46–51.

Article  CAS  PubMed  Google Scholar 

Won KB, Park EJ, Han D, Lee JH, Choi SY, Chun EJ, et al. Triglyceride glucose index is an independent predictor for the progression of coronary artery calcification in the absence of heavy coronary artery calcification at baseline. Cardiovasc Diabetol. 2020;19:34.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Won KB, Han D, Lee JH, Choi SY, Chun EJ, Park SH, et al. Atherogenic index of plasma and coronary artery calcification progression beyond traditional risk factors according to baseline coronary artery calcium score. Sci Rep. 2020;10:21324.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Erbel R, Lehmann N, Churzidse S, Rauwolf M, Mahabadi AA, Möhlenkamp S, et al. Progression of coronary artery calcification seems to be inevitable, but predictable - results of the Heinz Nixdorf Recall (HNR) study. Eur Heart J. 2014;35:2960–71.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Rossello X, Raposeiras-Roubin S, Oliva B, Sánchez-Cabo F, García-Ruíz JM, Caimari F, et al. Glycated hemoglobin and subclinical atherosclerosis in people without diabetes. J Am Coll Cardiol. 2021;77:2777–91.

Article  PubMed  Google Scholar 

van Rosendael AR, van den Hoogen IJ, Gianni U, Ma X, Tantawy SW, Bax AM, et al. Association of statin treatment with progression of coronary atherosclerotic plaque composition. JAMA Cardiol. 2021;6:1257–66.

Article  PubMed  Google Scholar