Predicting Left Ventricular Myocardial Fibrosis in Patients with Hypertrophic Cardiomyopathy by Speckle Tracking

Xin Hu1, Yuwei Bao1, Ying Zhu1

  • 1Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Insights

Speckle tracking automated functional imaging (AFI) effectively identifies myocardial fibrosis in hypertrophic cardiomyopathy (HCM) patients. Global longitudinal strain (GLS) predicts significant fibrosis and adverse outcomes.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Hypertrophic cardiomyopathy (HCM) is a genetic heart disease often associated with myocardial fibrosis.
  • Myocardial fibrosis can lead to adverse clinical outcomes, including sudden cardiac death.
  • Accurate identification of myocardial fibrosis is crucial for risk stratification in HCM patients.

Purpose of the Study:

  • To evaluate the predictive value of multiple strain parameters derived from speckle tracking automated functional imaging (AFI) for detecting myocardial fibrosis in HCM patients.
  • To establish cutoff values for strain parameters to identify myocardial fibrosis.
  • To assess the association of strain parameters with fibrosis severity and clinical outcomes.

Main Methods:

  • Sixty-one HCM patients and 20 healthy controls underwent transthoracic echocardiography and cardiac magnetic resonance late gadolinium enhancement (LGE).
  • Speckle tracking AFI was used to analyze multiple strain parameters, including segmental longitudinal strain (LS) and global longitudinal strain (GLS).
  • A total of 1458 myocardial segments were analyzed to correlate strain parameters with LGE findings.

Main Results:

  • Segments with LGE in HCM patients showed significantly lower absolute segmental LS values compared to those without LGE.
  • Cutoff values for segmental LS were determined for predicting LGE in different left ventricular regions.
  • Global longitudinal strain (GLS) at a cutoff of -16.5% predicted significant myocardial fibrosis with 80.9% sensitivity and 76.5% specificity.
  • GLS independently predicted fibrosis severity and 5-year sudden cardiac death risk in HCM patients.

Conclusions:

  • Speckle tracking AFI, using multiple strain parameters, can effectively identify left ventricular myocardial fibrosis in HCM.
  • A GLS cutoff of -16.5% is indicative of significant myocardial fibrosis and may predict adverse clinical outcomes in HCM patients.
Abstract