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Open access Oct 2026

Ascending Aortic Calcium Identifies Patients at Risk Despite Normal Myocardial Flow, Perfusion and Coronary Calcium: A 13-Site Cohort Study

Background Patients with normal perfusion, normal myocardial flow reserve (MFR) and no coronary artery calcium (CAC) on myocardial perfusion imaging are considered low risk. Yet, adverse events still occur and no routinely reported imaging marker stratifies residual risk. This study aims to determine whether fully auto...

C. Spielvogel, A. Shanbhag, S. Khanna et al. · 0 citations
Open access Sep 2026

Artificial intelligence-derived splenic response in cardiac positron emission tomography is associated with major adverse cardiovascular events: a multi-site study.

AIMS Inadequate pharmacologic stress may limit the diagnostic and prognostic accuracy of myocardial perfusion imaging (MPI). The splenic ratio (SR), a measure of stress adequacy, has emerged as a potential imaging biomarker. We developed an artificial intelligence (AI) method to derive SR and evaluated the prognostic v...

G. Ramirez, Naga L. Dharmavaram, A. Shanbhag et al. · 0 citations
Open access Aug 2026

Clinical Reference Percentiles for AI-derived Epicardial Adipose Tissue: A Multicenter Study

Age- and sex-specific EAT percentiles provide a clinically interpretable framework for contextualizing automated EAT measurements and identifying patients at increased cardiovascular risk and identified elevated risk even among patients with normal BMI.

A. Kamagate, A. Shanbhag, M. Buchwald et al. · 0 citations

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