ArticleJACC. Case reports2026
Predicting Acute Myocardial Infarction in the Absence of Detectable Atherosclerotic Plaque With Perivascular Coronary Inflammation.
Article in JACC. Case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
backgroundCoronary computed tomography angiography (CTA) with analysis by artificial intelligence (AI) can personalize coronary artery disease risk stratification. CASE SUMMARY: A 61-year-old man with coronary artery disease risk factors sought risk stratification admitting to exertional dyspnea. Coronary CTA revealed no plaque in the left circumflex coronary artery (LCx) by visual or AI analysis, but severe perivascular coronary inflammation was measured using the fat attenuation index (FAI) in the 99th percentile for age and gender. He had a non-ST-segment elevation myocardial infarction 96 days later due to occlusion of the LCx obtuse marginal branch. DISCUSSION: Perivascular coronary inflammation assessed by AI analysis of coronary CTA is predictive of adverse coronary events even in the absence of identifiable coronary plaque. TAKE-HOME MESSAGES: A highly inflamed fatty streak in the coronary endothelium of the LCx capable of acutely occluding the coronary artery was invisible to artificial intelligence-guided quantitative computed tomography, yet left a clear radiomic signature of alarming vascular inflammation described in FAI. Perivascular FAI on coronary CTA can noninvasively personalize the risk of major adverse cardiac events in the absence of detectable coronary plaque.
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