Right ventricular mechanics in hypertrophic cardiomyopathy using feature tracking

Hala Mahfouz Badran1, Mahmood Soliman1, Hesham Hassan1

  • 1Cardiology Department, Menoufiya University, Egypt.

Insights

Right ventricular (RV) deformation is impaired in hypertrophic cardiomyopathy (HCM), correlating with left ventricular (LV) disease severity. RV free wall (RVFW) mechanics analysis offers comparable insights to global RV assessment.

Area of Science:

  • Cardiology
  • Cardiovascular Imaging
  • Biomedical Engineering

Background:

  • Right ventricular (RV) mechanics in hypertrophic cardiomyopathy (HCM) are not well understood.
  • Assessing RV function is crucial for understanding HCM pathophysiology and patient outcomes.
  • 2D strain vector velocity imaging (VVI) offers a potential method for detailed RV analysis.

Purpose of the Study:

  • To investigate global and regional RV deformation in HCM patients using VVI.
  • To explore the relationship between RV mechanics and the left ventricular (LV) phenotype in HCM.
  • To identify predictors of RV dysfunction in HCM.

Main Methods:

  • 100 HCM patients and 30 controls underwent VVI analysis.
  • Quantified longitudinal peak systolic strain (ϵsys), strain rate (SR), and time to peak (TTP) for both RV and LV segments.
  • Analyzed RV free wall (RVFW) and septal wall displacement; calculated intra- and inter-ventricular delays.

Main Results:

  • HCM patients showed a significant decline in RV and LV ϵsys and SR, with a loss of the base-to-apex gradient.
  • RVFW deformation parameters strongly correlated with each other and were linked to LV mechanics and HCM severity markers.
  • RVFW displacement and global LV SRsys were identified as independent predictors of global RV deformation.

Conclusions:

  • RV deformation is demonstrably impaired in HCM, as assessed by feature tracking.
  • RV mechanics are independently influenced by LV function and correlate with the severity of the LV phenotype.
  • RVFW deformation analysis provides comparable information to global RV assessment in HCM.
Abstract

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