AI-derived left-to-right cardiac chamber volume ratios in coronary artery calcium scans strongly predict heart failure An AI-CVD study within the multi-ethnic study of atherosclerosis and framingham offspring cohort

European Heart Journal - Cardiovascular Imaging

27 January 2026
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ESC Journals HEART FAILURE Chronic Heart Failure IMAGING Cardiac Computed Tomography (CT) PREVENTIVE CARDIOLOGY Risk Factors and Prevention

Abstract

AbstractAims

The AI-CVD initiative seeks to extract actionable insights from coronary artery calcium (CAC) scans beyond the traditional CAC score. We previously demonstrated that AI-derived cardiac chamber volumes from CAC scans predict incident heart failure (HF). We aimed to evaluate whether left-to-right cardiac chamber volume ratios outperform chamber volumes in predicting HF.

Methods and results

We used AI-CVD cardiac chambers volumetry data from CAC scans of 5732 asymptomatic Multi-Ethnic Study of Atherosclerosis (MESA) participants (age 62.2 ± 10.3 years; 47.7% male). Left-to-right ventricular (LV/RV), atrial (LA/RA), and left atrial-to-right ventricular (LA/RV) volume ratios were evaluated using multivariable Cox models and feature selection techniques. External validation was performed in the Framingham Heart Study Offspring (FHS-O) cohort (N = 1,052, age:58.3 ± 8.3, 42.9% male). During a median follow-up of 17.7 years in MESA, 369 participants (6.3%) developed HF. Elevated ratios (≥75th & ≥95th percentile) of LV/RV, LA/RA, and LA/RV were strongly associated with incident HF: hazard ratio (HR) for ≥95th percentile were 4.04 (95% CI: 2.89–5.65), 2.90 (95% CI: 2.07–4.06), and 2.61 (95% CI: 1.87–3.46), respectively. Among participants with normal LV sizes (interquartile-range), LV/RV ≥95th significantly predicted HF (HR: 2.34; 95% CI: 1.29–4.25). In FHS-O (median follow-up 14.4 years), 56 HF events (5.3%) occurred. LV/RV ≥75th percentile was significantly associated with HF (HR: 2.23; 95% CI: 1.16–4.30), whereas LA/RA was not (HR: 1.22; 95% CI: 0.65–2.29). Feature selection techniques identified LV/RV as the strongest predictor.

Conclusion

In these two prospective cohorts, AI-derived LV/RV ratio from CAC scans strongly predicted HF. New clinical trials guided by these imaging biomarkers are warranted to establish their clinical utility.

Contributors

Jagat Narula
Jagat Narula

Author

University of Texas Health Science Center At Houston Houston , United States of America

Morteza Naghavi
Morteza Naghavi

Author

HeartLung.AI Houston , United States of America

Roxana Mehran
Roxana Mehran

Author

Icahn School of Medicine at Mount Sinai New York City , United States of America

Seyed Reza Mirjalili
Seyed Reza Mirjalili

Author

University of Liverpool, Life Science Building Liverpool , United Kingdom of Great Britain & Northern Ireland