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Cardiovasc Revasc Med ; 27: 38-44, 2021 06.
Article in English | MEDLINE | ID: mdl-33097462

ABSTRACT

BACKGROUND: Coronary computed tomographic angiography (CCTA) provides a non-invasive assessment of the coronary artery tree. Computed Tomography - adapted Leaman Score (CT-LeSc) has been shown to be an independent predictor of cardiac events in coronary artery disease (CAD) patients with a score greater than 5 (high). PURPOSE: To investigate the relationship between CT-LeSc and the progression of CAD and to provide vessel- and segment-level CAD qualification and quantification at baseline and 7-year follow-up. METHODS: Patients with multivessel CAD and CCTA assessments at baseline and follow-up were included. The CT-LeSc analysis was performed in a paired fashion. The patient-level scores and the differences between each phase were assessed by 2 analysts in an independent core laboratory. RESULTS: This study analyzed 248 coronary segments from 17 patients with a mean follow-up interval of 7.5 ± 0.6 years. The mean CT-LeSc at baseline and follow-up were 14.6 ± 4.2 and 16.9 ± 1.5, respectively, with an absolute increase of 2.3 ± 1.8. The mean cumulative increase of new lesions was 0.2 ± 0.2 per year. Over time, 14.6% of the non-obstructive lesions became obstructive, and 15.0% of the non-calcified plaques became calcified. There were 29 new lesions found at follow-up, and out of these, 16 were obstructive and 19 were non-calcified. CONCLUSION: In patients at high risk for cardiac events, as determined by CT-LeSc, there was an increase in CT-LeSc, obstructive lesions, and calcified plaques over the 7-year follow-up period. Most of the new lesions were obstructive and non-calcified. This is the first report showing long-term serial imaging CCTA changes in a high-risk population.


Subject(s)
Coronary Artery Disease , Coronary Stenosis , Plaque, Atherosclerotic , Computed Tomography Angiography , Coronary Angiography , Coronary Artery Disease/diagnostic imaging , Follow-Up Studies , Humans , Predictive Value of Tests , Risk Assessment , Tomography, X-Ray Computed
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