• The association of artificial...

*Result*: The association of artificial intelligence-enabled coronary plaque analysis with future non-ST elevation myocardial infarction.

Title:
The association of artificial intelligence-enabled coronary plaque analysis with future non-ST elevation myocardial infarction.
Authors:
Chen LQ; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York., Park C; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California., Lin A; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California., Xing E; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California., Bano R; Department of Nephrology and Hypertension, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA., Weber J; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York., Scheiner J; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York., Shearer M; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York., Landau A; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York., Tsioulias A; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York., Musso C; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York., Rapelje K; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York., Dey D; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California., Cao JJ; Division of Cardiac Imaging, DeMatteis Cardiovascular Institute, St Francis Hospital & Heart Center, Roslyn, New York.
Source:
Coronary artery disease [Coron Artery Dis] 2026 Jan 01; Vol. 37 (1), pp. 1-7. Date of Electronic Publication: 2025 Dec 03.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Lippincott Williams & Wilkins Country of Publication: England NLM ID: 9011445 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-5830 (Electronic) Linking ISSN: 09546928 NLM ISO Abbreviation: Coron Artery Dis Subsets: MEDLINE
Imprint Name(s):
Publication: London : Lippincott Williams & Wilkins
Original Publication: Philadelphia, Pa. : Current Science, c1990-
MeSH Terms:
Plaque, Atherosclerotic*/diagnostic imaging , Non-ST Elevated Myocardial Infarction*/etiology , Non-ST Elevated Myocardial Infarction*/diagnostic imaging , Coronary Angiography*/methods , Artificial Intelligence* , Coronary Artery Disease*/diagnostic imaging , Coronary Artery Disease*/complications , Coronary Artery Disease*/pathology , Coronary Vessels*/diagnostic imaging , Coronary Vessels*/pathology , Computed Tomography Angiography* , Radiographic Image Interpretation, Computer-Assisted*/methods, Humans ; Male ; Female ; Middle Aged ; Aged ; Case-Control Studies ; Risk Factors ; Predictive Value of Tests ; Risk Assessment ; Retrospective Studies
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Grant Information:
R01 HL148787 United States HL NHLBI NIH HHS; R01 HL151266 United States HL NHLBI NIH HHS; N/A Winnick Family Foundation
Contributed Indexing:
Keywords: artificial intelligence; coronary artery plaque; myocardial infarction
Entry Date(s):
Date Created: 20251205 Date Completed: 20251205 Latest Revision: 20251212
Update Code:
20260130
PubMed Central ID:
PMC12694969
DOI:
10.1097/MCA.0000000000001412
PMID:
41346196
Database:
MEDLINE

*Further Information*

*Background: There is emerging evidence that plaque features may play a critical role in future acute coronary syndrome. In this study, we analyzed plaque features using an artificial intelligence-enabled algorithm in a clinical cohort who developed non-ST-elevation myocardial infarction (NSTEMI) following coronary CT angiogram (CCTA).
Methods: We performed a case-control study selected from 13 751 consecutive cases in a single center referred for outpatient CCTA. After a follow-up of 4.3 ± 4 years, 48 patients without preexisting coronary disease developed NSTEMI. Controls (N = 187) were matched to the cases on age, gender, BMI, and kilovoltage for CTA acquisition. Quantitative plaque analysis was performed using artificial intelligence-enabled Autoplaque software (Autoplaque version 3.0; Cedars-Sinai Medical Center, Los Angeles, California, USA). Multivariable Cox proportional hazards models were performed to identify the predictors of NSTEMI.
Results: The mean age was 64 ± 11 years. Both case and control groups had mild stenosis at baseline (26 vs 17%, P = 0.01). The total calcified plaque and fibrous plaque volume were not different (P = 0.10 and P = 0.13, respectively). Necrotic core plaque volume and fibrous fatty plaque volume were higher in the NSTEMI group (28 ± 29 vs 9 ± 13 mm3, 169 ± 157 vs 84 ± 105 mm3, respectively, both P < 0.01). In multivariable Cox regression, necrotic core volume portended the greatest risk of NSTEMI, a seven-fold higher than that of total plaque volume.
Conclusion: Using artificial intelligence-enabled plaque analysis, noncalcified plaque volume, especially necrotic core and fibrous fatty plaque volume are important precursors for future NSTEMI events.
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