Background: Non-obstructing small coronary plaques may not be well recognized by expert readers during coronary computed tomography angiography (CCTA) evaluation. Recent developments in atherosclerosis imaging quantitative computed tomography (AI-QCT) enabled by machine learning allow for whole-heart coronary phenotyping of atherosclerosis, but its diagnostic role for detection of small plaques on CCTA is unknown. Methods: We performed AI-QCT in patients who underwent serial CCTA in the multinational PARADIGM study. AI-QCT results were verified by a level III experienced reader, who was blinded to baseline and follow-up status of CCTA. This retrospective analysis aimed to characterize small plaques on baseline CCTA and evaluate their serial changes on follow-up imaging. Small plaques were defined as a total plaque volume <50 ​mm3. Results: A total of 99 patients with 502 small plaques were included. The median total plaque volume was 6.8 ​mm3 (IQR 3.5–13.9 ​mm3), most of which was non-calcified (median 6.2 ​mm3; 2.9–12.3 ​mm3). The median age at the time of baseline CCTA was 61 years old and 63% were male. The mean interscan period was 3.8 ​± ​1.6 years. On follow-up CCTA, 437 (87%) plaques were present at the same location as small plaques on baseline CCTA; 72% were larger and 15% decreased in volume. The median total plaque volume and non-calcified plaque volume increased to 18.9 ​mm3 (IQR 8.3–45.2 ​mm3) and 13.8 ​mm3 (IQR 5.7–33.4 ​mm3), respectively, among plaques that persisted on follow-up CCTA. Small plaques no longer visualized on follow-up CCTA were significantly more likely to be of lower volume, shorter in length, non-calcified, and more distal in the coronary artery, as compared with plaques that persisted at follow-up. Conclusion: In this retrospective analysis from the PARADIGM study, small plaques (<50 ​mm3) identified by AI-QCT persisted at the same location and were often larger on follow-up CCTA.

How early can atherosclerosis be detected by coronary CT angiography? Insights from quantitative CT analysis of serial scans in the PARADIGM trial / R. Cardoso, A.D. Choi, A. Shiyovich, S.A. Besser, J.K. Min, J. Earls, R. Blankstein, D. Andreini, M.H. Al-Mallah, M.J. Budoff, F. Cademartiri, K. Chinnaiyan, J.H. Choi, E.J. Chun, E. Conte, I. Gottlieb, M. Hadamitzky, Y.-. Kim, B.K. Lee, J.A. Leipsic, E. Maffei, H. Marques, P.D.A. Goncalves, G. Pontone, S. Shin, J.M. Sung, S.-. Lee, R. Virmani, H. Samady, F.Y. Lin, P.H. Stone, D.S. Berman, J. Narula, L.J. Shaw, J.J. Bax, H.J. Chang. - In: JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY. - ISSN 1934-5925. - (2023), pp. 1-6. [Epub ahead of print] [10.1016/j.jcct.2023.08.012]

How early can atherosclerosis be detected by coronary CT angiography? Insights from quantitative CT analysis of serial scans in the PARADIGM trial

D. Andreini;E. Conte;G. Pontone;
2023

Abstract

Background: Non-obstructing small coronary plaques may not be well recognized by expert readers during coronary computed tomography angiography (CCTA) evaluation. Recent developments in atherosclerosis imaging quantitative computed tomography (AI-QCT) enabled by machine learning allow for whole-heart coronary phenotyping of atherosclerosis, but its diagnostic role for detection of small plaques on CCTA is unknown. Methods: We performed AI-QCT in patients who underwent serial CCTA in the multinational PARADIGM study. AI-QCT results were verified by a level III experienced reader, who was blinded to baseline and follow-up status of CCTA. This retrospective analysis aimed to characterize small plaques on baseline CCTA and evaluate their serial changes on follow-up imaging. Small plaques were defined as a total plaque volume <50 ​mm3. Results: A total of 99 patients with 502 small plaques were included. The median total plaque volume was 6.8 ​mm3 (IQR 3.5–13.9 ​mm3), most of which was non-calcified (median 6.2 ​mm3; 2.9–12.3 ​mm3). The median age at the time of baseline CCTA was 61 years old and 63% were male. The mean interscan period was 3.8 ​± ​1.6 years. On follow-up CCTA, 437 (87%) plaques were present at the same location as small plaques on baseline CCTA; 72% were larger and 15% decreased in volume. The median total plaque volume and non-calcified plaque volume increased to 18.9 ​mm3 (IQR 8.3–45.2 ​mm3) and 13.8 ​mm3 (IQR 5.7–33.4 ​mm3), respectively, among plaques that persisted on follow-up CCTA. Small plaques no longer visualized on follow-up CCTA were significantly more likely to be of lower volume, shorter in length, non-calcified, and more distal in the coronary artery, as compared with plaques that persisted at follow-up. Conclusion: In this retrospective analysis from the PARADIGM study, small plaques (<50 ​mm3) identified by AI-QCT persisted at the same location and were often larger on follow-up CCTA.
Artificial intelligence; Atherosclerosis; Coronary; Coronary CT angiography; Small plaque
Settore MED/11 - Malattie dell'Apparato Cardiovascolare
2023
3-ott-2023
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1018359
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