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10.1097/MCA.0000000000001412

http://scihub22266oqcxt.onion/10.1097/MCA.0000000000001412
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41346196!?!41346196

suck abstract from ncbi

pmid41346196      Coron+Artery+Dis 2026 ; 37 (1): 1-7
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  • The association of artificial intelligence-enabled coronary plaque analysis with future non-ST elevation myocardial infarction #MMPMID41346196
  • Chen LQ; Park C; Lin A; Xing E; Bano R; Weber J; Scheiner J; Shearer M; Landau A; Tsioulias A; Musso C; Rapelje K; Dey D; Cao JJ
  • Coron Artery Dis 2026[Jan]; 37 (1): 1-7 PMID41346196show ga
  • 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.
  • |*Artificial Intelligence[MESH]
  • |*Computed Tomography Angiography[MESH]
  • |*Coronary Angiography/methods[MESH]
  • |*Coronary Artery Disease/diagnostic imaging/complications/pathology[MESH]
  • |*Coronary Vessels/diagnostic imaging/pathology[MESH]
  • |*Non-ST Elevated Myocardial Infarction/etiology/diagnostic imaging[MESH]
  • |*Plaque, Atherosclerotic/diagnostic imaging[MESH]
  • |*Radiographic Image Interpretation, Computer-Assisted/methods[MESH]
  • |Aged[MESH]
  • |Case-Control Studies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Predictive Value of Tests[MESH]
  • |Retrospective Studies[MESH]
  • |Risk Assessment[MESH]


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