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Normal Reference Values and Determinants of Right Heart Strain Derived From MR-Feature Tracking: A Meta-Analysis.

Jingjing Shi1, Jie Lin1, Wenqi Liu1

  • 1Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.

Journal of Magnetic Resonance Imaging : JMRI
|September 12, 2025
PubMed
Summary
This summary is machine-generated.

This meta-analysis establishes normal reference values for right atrial (RA) and right ventricular (RV) strain using MR-feature tracking in healthy adults. Race, sex, age, and software significantly impact these crucial cardiac measurements.

Keywords:
MR‐feature trackingreference valuesright atrial functionright ventricular functionstrain

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Quantitative Cardiovascular Analysis

Background:

  • Normal reference values for right atrial (RA) and right ventricular (RV) strain assessed by MR-feature tracking (MR-FT) are not comprehensively established.
  • Accurate reference values are crucial for diagnosing and managing right heart conditions.

Purpose of the Study:

  • To systematically review and meta-analyze normal reference values for RV and RA strain parameters obtained via MR-FT in healthy adults.
  • To identify key determinants influencing these strain measurements.

Main Methods:

  • A meta-analysis of 40 studies including 4228 healthy adults.
  • Systematic literature search of PubMed, Embase, and Web of Science.
  • Random-effects model used to pool strain parameters; subgroup and meta-regression analyses performed.

Main Results:

  • Pooled means for RV strain: GLS -22.57%, GCS -14.16%, GRS 26.04%.
  • Pooled means for RA strain: reservoir 47.01%, conduit 28.24%, booster 18.62%.
  • Race, sex, age, and FT software significantly affected measurements; MR vendor and field strength had limited impact.

Conclusions:

  • This study provides pooled normal values for RV and RA strain parameters using MR-FT in healthy adults.
  • Significant variability in measurements is influenced by race, sex, age, and FT software.
  • These findings are essential for accurate interpretation of right heart strain in clinical practice.