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Updated: Mar 30, 2026

Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
Published on: October 28, 2020
A Novel 13-Segment Standardized Model for Assessment of Right Ventricular Function Using Two-Dimensional iRotate
Jackie S McGhie1, Myrthe E Menting1, Wim B Vletter1
1Department of Cardiology, The Thoraxcenter, Erasmus University Medical Center, Rotterdam, The Netherlands.
Aims:
The aim of this study was to evaluate the feasibility of transthoracic two-dimensional (2D) iRotate, a new echo modality, to assess the whole right ventricle (RV) from a single transducer position based on anatomic landmarks.
Methods And Results:
The anatomic landmarks were first defined based on three-dimensional echocardiographic datasets using multiplane reconstruction analyses. Thereafter, we included 120 healthy subjects (51% male, age range 21-67 years). Using 2D iRotate, four views of the RV could be acquired based on these landmarks. The anterior, lateral, inferior wall (divided into three segments: basal-mid-apical), and right ventricular outflow tract (RVOT) anterior wall of the RV were determined. The feasibility of visualization of RV segments and tricuspid annular plane systolic excursion (TAPSE) and tissue Doppler imaging (TDI) measurements were assessed. To evaluate this model for diseased RVs, a small pilot study of 20 patients was performed. In 98% of healthy subjects and 100% of patients, iRotate mode was feasible to assess the RV from one single transducer position. In total, 86% and 95%, respectively, of the RV segments could be visualized. The visualization of the RVOT anterior wall was worse 23% and 75%, respectively. TAPSE and TDI measurements on all four views were feasible 93% and 92%, respectively, of the healthy subjects and in 100% of the patients.
Conclusion:
With 2D iRotate, a comprehensive evaluation of the entire normal and diseased RV is feasible from a fixed transducer position based on anatomic landmarks. This is less time-consuming than the multiview approach and enhances accuracy of RV evaluation. Imaging of the RVOT segment remains challenging.
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