Global Circumferential Strain by Cardiac Magnetic Resonance Tissue Tracking Associated With Ventricular Arrhythmias

Cailing Pu1, Jingle Fei1, Sangying Lv2

  • 1Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Insights

Global circumferential strain (GCS) and late gadolinium enhancement (%LGE) are key indicators for identifying ventricular arrhythmias (VAs) in hypertrophic cardiomyopathy (HCM) patients. These metrics from cardiac magnetic resonance imaging can improve risk stratification for HCM.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Hypertrophic cardiomyopathy (HCM) is characterized by myocardial heterogeneity and fibrosis, predisposing to ventricular arrhythmias (VAs).
  • Cardiac magnetic resonance tissue tracking (CMR-TT) assesses left ventricular strain, but its association with VAs in HCM requires clarification.

Purpose of the Study:

  • To investigate the diagnostic value of CMR-TT-derived myocardial strain parameters in identifying VAs in HCM patients.
  • To explore the relationship between myocardial strain, late gadolinium enhancement, and VAs in HCM.

Main Methods:

  • Retrospective analysis of 93 HCM patients (38 with VAs, 55 without) and 30 healthy controls.
  • Evaluation of left ventricular function, myocardial strain (including GCS, GLS, GRS), and percentage of late gadolinium enhancement (%LGE) using CMR-TT.
  • Multivariate logistic regression and ROC analysis to determine the predictive value of %LGE and GCS for VAs.

Main Results:

  • HCM patients with VAs exhibited reduced LVEF, GRS, GCS, GLS, and increased %LGE compared to those without VAs.
  • %LGE and GCS were identified as independent indicators of VAs in HCM.
  • High %LGE (>5.35%) and low GCS (>-14.73%) significantly predicted VAs, with combined %LGE + GCS showing superior diagnostic accuracy (AUC 0.87).

Conclusions:

  • Global circumferential strain and %LGE are independent risk indicators for VAs in HCM.
  • GCS shows potential as a predictor for identifying HCM patients with VAs.
  • These CMR-TT parameters can enhance risk stratification for HCM patients.

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