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Radiomics-Derived Ischemia Burden Score (R-IBS) Calculator

Radiomics-Derived Ischemia Burden Score (R-IBS): Explanation and Clinical Context This calculator estimates global ischemic burden by blending per-vessel radiomics probabilities of functional ischemia with optional CT-derived fractional flow reserve (CT-FFR). Radiomics “Rad-signature” values represent the probability that a given coronary vessel supplies an ischemic territory; these were derived from pericoronary tis

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Radiomics-Derived Ischemia Burden Score (R-IBS): Explanation and Clinical Context This calculator estimates global ischemic burden by blending per-vessel radiomics probabilities of functional ischemia with optional CT-derived fractional flow reserve (CT-FFR). Radiomics “Rad-signature” values represent the probability that a given coronary vessel supplies an ischemic territory; these were derived from pericoronary tissue features on coronary CT angiography (CCTA) using machine learning, validated against CT-FFR ≤0.80. Each vessel probability is weighted by myocardial territory according to coronary dominance: LAD (~50%), LCx (~20–35%), RCA (~15–30%).

The resulting weighted sum represents total ischemic myocardium as a percentage of the left ventricle. Clinical interpretation: Ischemic burden <5% indicates low risk, 5–10% borderline/intermediate, and >10% moderate-to-severe burden. These thresholds are extrapolated from nuclear perfusion studies and should be interpreted within the clinical context.

Evidence & references1 primary source mapped
  1. Source 1

    Feng Y, et al. Front Physiol. 2022;13:980996. Shang J, et al. Diagnostics. 2022;12(5):1158. Lin A, et al. Circ Cardiovasc Imaging. 2022;15(10):e014369. Seo CO, et al. J Clin Med. 2025;14(15):5429. Reynolds HR, et al. Circ Cardiovasc Imaging. 2015;8(6):e003777. Patel KK, et al. JACC Cardiovasc Imaging. 2019;12(8 Pt 2):1545–55.

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Clinical structure and calculation context point directly to Source 1; additional primary references remain listed for auditability.