Key result
AI splenic phenotyping on calcium-scoring CT identifies residual HF risk in patients with CAC 0.
Why the study?
Preventing HF requires identifying at-risk patients before symptoms develop, yet existing tools are imperfect. Although a CAC score of 0 indicates no detectable atherosclerotic burden, these patients retain a low but nonzero residual HF risk that atherosclerosis-oriented tools do not fully capture.
Answers are grounded in this paper and cite their sources.
Demonstrates that AI-enabled splenic phenotyping on CT identifies residual nonischemic heart failure risk in patients lacking coronary artery calcium, highlighting a novel screening approach.
Preventing heart failure (HF) depends on identifying at-risk patients before symptoms develop, but existing tools remain imperfect. Coronary artery calcium (CAC) computerized tomography (CT), performed routinely for cardiovascular risk assessment, reliably reflects atherosclerotic risk but does not fully capture HF risk. A CAC score of 0 indicates no detectable atherosclerotic burden, yet these patients retain low but nonzero HF risk.1,2 That residual risk is more often likely to be nonischemic, where atherosclerosis-oriented tools are least informative.
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Dhamdhere et al. (2026) studied Patients without coronary calcium (CAC score of 0) at risk for heart failure. AI-enabled opportunistic splenic phenotyping on calcium-scoring CT was evaluated on Residual heart failure risk. AI-enabled opportunistic splenic phenotyping on calcium-scoring CT identifies residual heart failure risk in patients with a coronary artery calcium score of 0.
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