Interaction of AI-Enabled Quantitative Coronary Plaque Volumes on Coronary CT Angiography, FFR<sub>CT</sub>, and Clinical Outcomes: A Retrospective Analysis of the ADVANCE Registry.

Details

Serval ID
serval:BIB_880A96C0EAE8
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Interaction of AI-Enabled Quantitative Coronary Plaque Volumes on Coronary CT Angiography, FFR<sub>CT</sub>, and Clinical Outcomes: A Retrospective Analysis of the ADVANCE Registry.
Journal
Circulation. Cardiovascular imaging
Author(s)
Dundas J., Leipsic J., Fairbairn T., Ng N., Sussman V., Guez I., Rosenblatt R., Hurwitz Koweek L.M., Douglas P.S., Rabbat M., Pontone G., Chinnaiyan K., de Bruyne B., Bax J.J., Amano T., Nieman K., Rogers C., Kitabata H., Sand NPR, Kawasaki T., Mullen S., Huey W., Matsuo H., Patel M.R., Norgaard B.L., Ahmadi A., Tzimas G.
ISSN
1942-0080 (Electronic)
ISSN-L
1941-9651
Publication state
Published
Issued date
03/2024
Peer-reviewed
Oui
Volume
17
Number
3
Pages
e016143
Language
english
Notes
Publication types: Clinical Study ; Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Luminal stenosis, computed tomography-derived fractional-flow reserve (FFR <sub>CT</sub> ), and high-risk plaque features on coronary computed tomography angiography are all known to be associated with adverse clinical outcomes. The interactions between these variables, patient outcomes, and quantitative plaque volumes have not been previously described.
Patients with coronary computed tomography angiography (n=4430) and one-year outcome data from the international ADVANCE (Assessing Diagnostic Value of Noninvasive FFR <sub>CT</sub> in Coronary Care) registry underwent artificial intelligence-enabled quantitative coronary plaque analysis. Optimal cutoffs for coronary total plaque volume and each plaque subtype were derived using receiver-operator characteristic curve analysis. The resulting plaque volumes were adjusted for age, sex, hypertension, smoking status, type 2 diabetes, hyperlipidemia, luminal stenosis, distal FFR <sub>CT</sub> , and translesional delta-FFR <sub>CT</sub> . Median plaque volumes and optimal cutoffs for these adjusted variables were compared with major adverse cardiac events, late revascularization, a composite of the two, and cardiovascular death and myocardial infarction.
At one year, 55 patients (1.2%) had experienced major adverse cardiac events, and 123 (2.8%) had undergone late revascularization (>90 days). Following adjustment for age, sex, risk factors, stenosis, and FFR <sub>CT</sub> , total plaque volume above the receiver-operator characteristic curve-derived optimal cutoff (total plaque volume >564 mm <sup>3</sup> ) was associated with the major adverse cardiac event/late revascularization composite (adjusted hazard ratio, 1.515 [95% CI, 1.093-2.099]; P=0.0126), and both components. Total percent atheroma volume greater than the optimal cutoff was associated with both major adverse cardiac event/late revascularization (total percent atheroma volume >24.4%; hazard ratio, 2.046 [95% CI, 1.474-2.839]; P<0.0001) and cardiovascular death/myocardial infarction (total percent atheroma volume >37.17%, hazard ratio, 4.53 [95% CI, 1.943-10.576]; P=0.0005). Calcified, noncalcified, and low-attenuation percentage atheroma volumes above the optimal cutoff were associated with all adverse outcomes, although this relationship was not maintained for cardiovascular death/myocardial infarction in analyses stratified by median plaque volumes.
Analysis of the ADVANCE registry using artificial intelligence-enabled quantitative plaque analysis shows that total plaque volume is associated with one-year adverse clinical events, with incremental predictive value over luminal stenosis or abnormal physiology by FFR <sub>CT</sub> .
URL: https://www.clinicaltrials.gov; Unique identifier: NCT02499679.
Keywords
Humans, Artificial Intelligence, Computed Tomography Angiography/methods, Constriction, Pathologic, Coronary Angiography/methods, Coronary Artery Disease/diagnostic imaging, Coronary Artery Disease/therapy, Coronary Stenosis/diagnostic imaging, Coronary Stenosis/therapy, Diabetes Mellitus, Type 2, Fractional Flow Reserve, Myocardial/physiology, Myocardial Infarction, Plaque, Atherosclerotic, Predictive Value of Tests, Registries, Retrospective Studies, Tomography, X-Ray Computed, Male, Female, artificial intelligence, atherosclerotic plaque, cardiac death, computed tomography angiography, coronary artery disease, major adverse cardiac events, myocardial infarction
Pubmed
Web of science
Create date
14/03/2024 18:20
Last modification date
06/04/2024 7:23
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