Why the study?
Conventional cardiac CT measures of stenosis, plaque burden, and chamber geometry do not capture geometric and spatial complexity. This review synthesises emerging evidence, methodological limitations, and validation priorities for fractal analysis in cardiac CT.
Population
Patients undergoing cardiac CT for suspected coronary artery disease, myocardial perfusion, or ventricular trabecular assessment
Design
Narrative review
Answers are grounded in this paper and cite their sources.
Fractal analysis may refine cardiac CT plaque and perfusion assessment; leaves open needs for standardization and prospective validation.
Coronary computed tomography angiography (CTCA) is established as a first-line investigation for suspected coronary artery disease and is increasingly used for anatomical, functional, and structural cardiac assessment. Fractal analysis (FA) provides a framework for quantifying geometric and spatial complexity that is not captured by conventional measures of stenosis, plaque burden, or chamber geometry. Emerging cardiac CT studies have applied fractal dimension (FD), one quantitative measure derived from FA to coronary plaque, myocardial perfusion, and ventricular trabecular architecture. In coronary imaging, FD-based descriptors of plaque heterogeneity and boundary complexity have shown incremental diagnostic information beyond conventional plaque measures. In dynamic CT perfusion, fractal metrics quantify the spatial heterogeneity of myocardial enhancement and may help distinguish macrovascular from microvascular ischaemia. Cardiac CT studies have also demonstrated the feasibility of deriving ventricular trabecular FD and discriminating left ventricular non-compaction from other cardiomyopathies. This review synthesises the current evidence for FA in cardiac CT, evaluates methodological limitations and evidence maturity, and outlines priorities for standardisation, reproducibility, multimodal integration, and prospective clinical validation.
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Barter et al. (2026) studied this question.
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