Extracellular Volume Fraction Analysis on Cardiac Computed Tomography Is Useful for Predicting the Prognosis of

Shuhei Aoki1,2, Hiroyuki Takaoka1,2, Tomonori Kanaeda2

  • 1Department of Cardiovascular Medicine, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan.

Insights

Computed tomography (CT) derived extracellular volume fraction (ECV) can predict major adverse cardiac events (MACE) in hypertrophic cardiomyopathy (HCM) patients. Higher LV-ECV levels indicate increased MACE risk, aiding clinical management.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Extracellular volume fraction (ECV) analysis using computed tomography (CT) is a novel technique.
  • Hypertrophic cardiomyopathy (HCM) is a complex cardiac condition requiring accurate prognostic markers.
  • Assessing cardiac structure and function is crucial for managing HCM patients.

Purpose of the Study:

  • To evaluate the utility of CT-derived ECV in predicting major adverse cardiac events (MACE) in patients with HCM.
  • To establish a correlation between left ventricular ECV (LV-ECV) and adverse outcomes in HCM.
  • To determine the prognostic value of LV-ECV compared to other cardiac parameters.

Main Methods:

  • Retrospective analysis of cardiac CT scans from 101 HCM patients (January 2009 - December 2021).
  • Measurement of left ventricular ECV (LV-ECV) using CT.
  • Statistical analysis including Cox proportional hazards model and receiver operating characteristic (ROC) analysis to assess MACE prediction.

Main Results:

  • Fifteen percent of HCM patients experienced MACE.
  • Patients with MACE exhibited significantly higher LV-ECV, left atrial diameter, LV end-systolic diameter, and lower ejection fraction (LVEF).
  • LV-ECV (≥37.6%) and LVEF were significant independent predictors of MACE; an LV-ECV threshold of 37.6% identified higher MACE risk.

Conclusions:

  • CT-derived ECV analysis demonstrates significant potential for predicting MACE in HCM patients.
  • LV-ECV serves as a valuable prognostic biomarker in HCM, complementing traditional assessments.
  • This imaging biomarker may aid in risk stratification and personalized treatment strategies for HCM.