Left Ventricular Isoperimetric Properties in Hypertrophic Cardiomyopathy: A CMR-Based Analysis of Ventricular

Maja Milošević Nale1, Bojan Božić2, Ivan Soldatović3

  • 1Institute for Cardiovascular Diseases "Dedinje", Heroja Milana Tepića 1, 11000 Belgrade, Serbia.

Insights

Isoperimetric analysis effectively characterizes left ventricular (LV) geometry in hypertrophic cardiomyopathy (HCM). This novel approach, using the isoperimetric index (IPI), complements traditional cardiac MRI metrics for improved HCM diagnosis.

Area of Science:

  • Cardiovascular Imaging
  • Cardiac Morphology
  • Biomedical Engineering

Background:

  • Hypertrophic cardiomyopathy (HCM) involves complex left ventricular (LV) remodeling beyond standard measurements.
  • Conventional parameters like maximal wall thickness (MWT) may not fully capture LV structural changes in HCM.

Purpose of the Study:

  • To assess isoperimetric analysis as a geometry-based method for characterizing LV morphology.
  • To compare the diagnostic performance of isoperimetric analysis with fractal analysis in differentiating HCM from controls.

Main Methods:

  • Retrospective analysis of 120 subjects (60 HCM, 60 controls) using cardiac magnetic resonance (CMR).
  • Delineation of LV endocardial contours from short-axis cine images at end-diastole.
  • Calculation of isoperimetric index (IPI), cavity-corrected IPI (CC-IPI), and fractal dimension (FD).

Main Results:

  • HCM patients exhibited significantly higher IPI and CC-IPI values compared to controls (p < 0.001).
  • IPI and CC-IPI demonstrated strong correlations with MWT and LV mass index, moderate with native T1, and weak with volumetric parameters.
  • Both IPI and CC-IPI showed excellent discriminatory performance (AUC = 1.00) in distinguishing HCM.

Conclusions:

  • HCM involves significant alterations in LV endocardial geometry beyond simple hypertrophy.
  • IPI and CC-IPI offer size-normalized, interpretable descriptors complementing conventional CMR and fractal analysis for HCM assessment.

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