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LGE-CMR-derived texture features reflect poor prognosis in hypertrophic cardiomyopathy patients with systolic

Sainan Cheng1, Mengjie Fang2,3, Chen Cui1

  • 1Department of Cardiac MR, Fuwai Hospital, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No. 167 Beilishi Road, Beijing, 100037, China.

European Radiology
|May 6, 2018
PubMed

Insights

Texture analysis of late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) images reveals prognostic information in hypertrophic cardiomyopathy (HCM) patients with systolic dysfunction. Increased LGE heterogeneity indicates a higher risk of adverse events.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Hypertrophic cardiomyopathy (HCM) is a genetic heart muscle disease.
  • Systolic dysfunction in HCM patients is associated with adverse outcomes.
  • Late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) visualizes myocardial scarring.

Purpose of the Study:

  • To assess the prognostic capability of texture features from LGE-CMR images.
  • To identify imaging biomarkers for risk stratification in HCM patients with systolic dysfunction.

Main Methods:

  • Retrospective analysis of LGE-CMR images from 67 HCM patients with systolic dysfunction.
  • Extraction of texture features from LGE images.
  • Cox proportional hazard and Kaplan-Meier analyses to correlate texture features with event-free survival.

Main Results:

  • Several texture features, including X0_H_skewness, X0_GLCM_cluster_tendency, and X0_GLRLM_energy, were significantly associated with event-free survival.
  • Increased LGE heterogeneity, indicated by specific texture parameters, correlated with adverse events.
  • LGE extent remained a significant predictor of adverse events, even after adjusting for texture features.

Conclusions:

  • Texture analysis of LGE-CMR images provides valuable prognostic information in HCM patients with systolic dysfunction.
  • Texture features can quantify fibrosis heterogeneity, offering insights beyond traditional LGE assessment.
  • CMR-based texture analysis aids in risk stratification and personalized management of HCM.
Abstract

Keywords:
Cardiac magnetic resonanceEvent-free survivalHypertrophic cardiomyopathyLate gadolinium enhancementTexture features

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