ArticleJournal of echocardiography2026
Evaluation of right ventricular function using a novel three-dimensional speckle-tracking echocardiography automatic analysis system.
Article in Journal of echocardiography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Agreement of AI-assisted semi-automated right ventricular function analysis using 3D transthoracic echocardiography with artificial intelligence.Journal of echocardiography · 2026Article
- Assessment of Right Ventricular Adaptability to Pressure Overloading for Critical Therapeutic Decision-Making Processes.Journal of clinical medicine · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRight ventricular (RV) dysfunction is an important prognostic predictor of various cardiovascular diseases. However, the complex structural morphology of the RV limits the accurate quantitative assessment of its function. We investigated the utility of a novel three-dimensional speckle-tracking echocardiography (3D-STE) analysis system with automatic tracing and analysis functions to evaluate global and regional RV function.
methodsThis study involved 60 healthy participants; 3D-STE analysis of the RV using 3D RV-STE automatic analysis software was compared with conventional two-dimensional echocardiography findings. We measured the peak global and regional 3D RV area change ratios (3D RV-ACRs). The peak regional 3D RV-ACRs were measured for three inlet, two apical, and two outflow tract segments of the RV; 3D RV ejection fraction (3D-RVEF) was also measured.
resultsThe 3D RV tracking automatically traced the RV endocardium and analyzed the RV function of the participants. The median global 3D RV-ACR was - 31.6% [interquartile range (IQR): - 33.4 to - 30.0%] and demonstrated a significant correlation with 3D-RVEF (r = 0.8957, p < 0.0001). The median values for the 3D RV inlet, RV outflow tract, and apical ACRs were - 36.3% (IQR: - 38.7 to - 34.6%), - 28.5% (IQR: - 32.5 to - 25.8%), and - 23.8% (IQR: - 27.1 to - 20.1%), respectively. Their contributions to the 3D-RVEF were 35.0%, 32.3%, and 4.2%, and to the global 3D RV-ACR were 44.5%, 39.6%, and 11.1%, respectively.
conclusionsThe 3D RV-ACRs determined by the novel RV-specialized automatic 3D-STE analysis enable precise and quantitative assessment of RV function.
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Registered trials
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