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Updated: Jul 10, 2026

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Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
Published on: May 24, 2021
Right ventricular function assessment: comparison of geometric and visual method to short-axis slice summation method
Daniel Drake1, Ritesh Gupta, Steven G Lloyd
1Department of Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama 35294, USA. hgupta@cardmail.dom.uab.edu
Echocardiography (Mount Kisco, N.Y.)
|November 16, 2007
Summary
Simplified methods for measuring right ventricular ejection fraction (RVEF) using cardiac MRI show promise. Both geometric and visual estimates offer comparable accuracy to the standard short-axis summation method for RVEF assessment.
Area of Science:
- Cardiovascular Imaging
- Cardiac MRI Analysis
- Ventricular Function Assessment
Background:
- Current short-axis summation (SAS) method for cardiac MRI-based right ventricular (RV) volumes and ejection fraction (RVEF) is time-consuming.
- A need exists for simplified, accurate RVEF measurement techniques.
- This study evaluates two simplified methods against the established SAS approach.
Purpose of the Study:
- To compare the accuracy and reproducibility of a simplified geometric method (GM) and visual estimation against the SAS method for RVEF measurement.
- To assess the utility of these simplified methods for clinical application.
Main Methods:
- Forty patients undergoing cine cardiac MRI were analyzed using SAS, GM (ellipsoid model), and visual estimation.
- RVEF was calculated by all three methods; RV volumes were measured by SAS and GM.
- Bland-Altman analysis was employed to evaluate agreement between the measurement techniques.
Main Results:
- Mean RVEF values were similar across methods: SAS (49%), GM (54%), and visual estimate (49%).
- GM and visual estimate demonstrated comparable bias and limits of agreement to SAS for RVEF.
- Interobserver variability for RVEF was within +/-10% in most patients; however, GM showed wider limits for RV volumes and underestimated end-systolic volume.
Conclusions:
- Simplified geometric and visual estimation methods provide comparable bias and agreement to SAS for RVEF measurement.
- Despite underestimation of end-systolic volume, the geometric method shows potential for serial RV volume monitoring.
