Heart failure & cardiomyopathiesCohort study

Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial Fat

J Am Coll CardiolPublished

  • Multicentre cohort study
  • 9 UK centres
  • external validation

Authors' conclusion

Automated radiomic phenotyping of EAT from routine CCTA enables scalable, biologically informed stratification of future HF risk before clinical onset

Study context

Population
Adults without known heart failure (HF) or MI undergoing coronary computed tomographic angiography (CCTA), 9 UK centres, 2007–2022
Participants
72,751 adults
Exposure
Internal vs External
  • Internaln = 59,327
  • Externaln = 13,424
Outcome
Incident HF (radiomic signature of EAT, FRPHF)

Main finding

As reported in the abstract

Incident HF, discrimination and risk per 25-percentile increase in FRPHF · median follow-up 5.1 (internal) and 4.0 (external) years
GroupValueC-statisticAdjusted HR per 25-percentile increase
Internal2.9%0.869 (95% CI: 0.850-0.889)3.90 (95% CI: 3.13-4.84)
External2.7%0.850 (95% CI: 0.831-0.870)3.79 (95% CI: 3.01-4.76)
Adjusted HRs, both cohorts
P < 0.001

Observational data: associations, not effects.

Further findings

OutcomeEstimate
Incremental value of FRPHF over conventional risk models (incl. EAT volume, CAD severity), external cohort · 5 years — Conventional model + FRPHF vs Conventional modelΔAUC 0.047 (95% CI 0.029–0.065)
Incremental value of FRPHF over conventional risk models (incl. EAT volume, CAD severity), external cohort · 5 years — Conventional model + FRPHF vs Conventional modelNRI 0.39 (95% CI 0.29–0.48)

Incremental value of fat radiomic profile for HF (FRPHF) over conventional risk models (incl. Epicardial adipose tissue (EAT) volume, coronary artery disease (CAD) severity), external cohort · 5 years

Suggested net clinical benefit on decision curve analysis

Subgroups (demographic, EF spectrum)

Associations consistent across demographic subgroups and across the EF spectrum

Original publication

Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial Fat. J Am Coll Cardiol. Published 8 April 2026. doi:10.1016/j.jacc.2026.02.5116

Summarised from the published abstract; every number is checked against it