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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
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The Diagnostic and Prognostic Value of Cardiac Magnetic Resonance Strain Analysis in Heart Failure with Preserved

Shiwen Zhang1,2, Yufei Zhou3, Shuguang Han4

  • 1Department of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan 200001, Shandong, China.

Contrast Media & Molecular Imaging
|February 16, 2023
PubMed

Insights

Cardiac magnetic resonance (CMR) strain analysis aids in diagnosing heart failure with preserved ejection fraction (HFpEF). Combined left ventricular (LV) strain analysis offers superior diagnostic and prognostic value for HFpEF compared to individual strain measurements.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Diagnostic Tools

Background:

  • Strain analysis using cardiac magnetic resonance (CMR) is vital for diagnosing and predicting outcomes in heart failure with preserved ejection fraction (HFpEF).
  • Understanding the diagnostic and prognostic capabilities of CMR-derived strain parameters in HFpEF is crucial for clinical management.

Purpose of the Study:

  • To evaluate the diagnostic and prognostic utility of various strain parameters obtained through CMR in patients with HFpEF.
  • To compare the diagnostic and prognostic performance of individual versus combined strain analyses.

Main Methods:

  • Patients with HFpEF and controls underwent comprehensive assessments, including echocardiography and CMR.
  • Key strain parameters such as global longitudinal strain, global circumferential strain (GCS), and global radial strain were measured in the left ventricle (LV), right ventricle (RV), and left atrium.
  • Receiver operating characteristic (ROC) curve analysis was utilized to assess the diagnostic and prognostic values of these strain parameters.

Main Results:

  • All measured strain parameters, except for RVGCS, demonstrated significant diagnostic value for HFpEF.
  • Combined LV strain analysis yielded the highest diagnostic accuracy (AUC = 0.858) compared to individual LV strains.
  • While individual strains lacked prognostic value, combined LV strain analysis showed significant prognostic relevance for predicting HFpEF outcomes (AUC = 0.722).

Conclusions:

  • Individual CMR strain analysis is valuable for diagnosing HFpEF.
  • The combined analysis of LV strain parameters provides the highest diagnostic accuracy for HFpEF.
  • Combined LV strain analysis is prognostically valuable for predicting outcomes in HFpEF patients, whereas individual strain measurements are not.
Abstract

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