Prognostic Utility of Left Atrial Strain From MRI Feature Tracking in Ischemic and Nonischemic Dilated

Fai Wang Fong1, Subin Hwang1, Yueyi Xu1

  • 1Department of Diagnostic Radiology, The University of Hong Kong, Rm 406, Block K, Queen Mary Hospital, 102 Pokfulam Rd, Hong Kong SAR.

Insights

Left atrial strain (LAS) parameters derived from cardiac MRI offer superior prognostic value in dilated cardiomyopathy (DCM) patients compared to traditional markers. LAS reservoir and conduit significantly predict outcomes, improving patient risk stratification.

Area of Science:

  • Cardiology
  • Radiology
  • Medical Imaging

Background:

  • Cardiac MRI is crucial for prognostic evaluation in dilated cardiomyopathy (DCM).
  • Traditional markers include late gadolinium enhancement (LGE) and left ventricular global longitudinal strain (LVGLS).
  • Left atrial strain (LAS) parameters (reservoir, conduit, booster) show potential prognostic roles.

Purpose of the Study:

  • To assess the prognostic utility of MRI feature tracking (FT)-derived LAS parameters in DCM patients.
  • To compare the prognostic value of LAS parameters against LGE and LVGLS.
  • To evaluate patients with ischemic or nonischemic DCM.

Main Methods:

  • Retrospective analysis of 811 DCM patients from five centers.
  • Measurement of FT-derived LAS parameters and LVGLS from cine images.
  • Quantification of LGE and assessment of composite outcomes (all-cause mortality or heart failure hospitalization).
  • Multivariable Cox regression and Kaplan-Meier analyses were performed.

Main Results:

  • LAS reservoir and conduit were significant independent predictors of adverse outcomes.
  • LAS parameters demonstrated greater prognostic utility than LVGLS and LGE.
  • Patients with adverse outcomes had smaller LAS reservoir and conduit values.
  • LGE and LAS booster were not significant independent predictors in multivariable models.

Conclusions:

  • MRI-derived LAS reservoir and conduit are significant independent prognostic markers in DCM.
  • LAS analysis provides incremental prognostic information beyond traditional markers.
  • FT-derived LAS parameters enhance risk stratification in patients with DCM.

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