Prognostic Value of Cardiac MRI Late Gadolinium Enhancement Granularity in Participants with Ischemic Cardiomyopathy

Alexandre Unger1,2,3,4,5, Jérôme Garot5, Solenn Toupin6

  • 1Department of Cardiology, Hôpital universitaire de Bruxelles, Hôpital Erasme, Université libre de Bruxelles, Brussels, Belgium.

Radiology
|January 8, 2025
PubMed

Insights

Detailed cardiac MRI late gadolinium enhancement (LGE) features significantly improve mortality prediction in ischemic cardiomyopathy. A novel LGE granularity model outperforms traditional factors for assessing long-term risk.

Area of Science:

  • Cardiovascular Imaging
  • Cardiac MRI
  • Myocardial Viability Assessment

Background:

  • Cardiac MRI late gadolinium enhancement (LGE) is a known prognosticator for ischemic cardiomyopathy.
  • The prognostic impact of specific LGE characteristics like extent, transmurality, and location is not fully understood.

Purpose of the Study:

  • To evaluate the predictive capability of detailed ischemic LGE features for all-cause mortality in patients with ischemic cardiomyopathy.

Main Methods:

  • Secondary analysis of a prospective dual-center trial (2008-2022) including patients with ischemic cardiomyopathy and LVEF < 50%.
  • Cardiac MRI LGE parameters (extent, transmurality, location, midwall LGE) were analyzed.
  • Cox regression and time-dependent ROC curves assessed predictive value against traditional factors over 10 years.

Main Results:

  • The study included 6082 participants; 3591 had ischemic LGE. 652 deaths occurred during a median 9.0-year follow-up.
  • Ischemic LGE presence strongly predicted mortality (HR 3.45).
  • An LGE granularity model integrating detailed features showed superior prediction (AUC 0.89) compared to LGE extent (AUC 0.83) and traditional factors.

Conclusions:

  • A comprehensive LGE granularity model derived from cardiac MRI offers superior prognostic value for mortality prediction in ischemic cardiomyopathy.
  • This detailed LGE assessment surpasses traditional prognosticators and simple LGE extent for risk stratification.