Artificial Intelligence for Dynamic Echocardiographic Tricuspid Valve Analysis: A New Tool in Echocardiography

医学 三尖瓣 反流(循环) 主动脉瓣 软件 二尖瓣 心脏周期 放射科 心脏病学 内科学 计算机科学 程序设计语言
作者
Huma Fatima,Feroze Mahmood,Sankalp Sehgal,Kiran Belani,Aidan Sharkey,Omar Chaudhary,Yanick Baribeau,Robina Matyal,Kamal R. Khabbaz
出处
期刊:Journal of Cardiothoracic and Vascular Anesthesia [Elsevier]
卷期号:34 (10): 2703-2706 被引量:13
标识
DOI:10.1053/j.jvca.2020.04.056
摘要

There has been a resurgence of interest in the structure and function of the tricuspid valve (TV) with the established prognostic impact of functional tricuspid regurgitation. Current 3-dimensional transesophageal echocardiography prototype software is limited to exploration of the mitral and aortic valves exclusively. Thus, newer analytical software is required for dynamic geometric analysis of the TV morphology for remodeling. This article presents a preliminary experience with novel artificial intelligence-based semiautomated software for TV analysis. The software offers high correlation to surgical inspection by its ability to analyze morphology and dynamics of the valve throughout the cardiac cycle. In addition, it allows higher reproducibility of data analysis and reduces interobserver variability with minimal need for manual intervention. Integration of interactivity through preprocedural placement of specific devices of different sizes and shapes in the mitral and aortic positions facilitates prognostic evaluation of surgical and interventional procedures. There has been a resurgence of interest in the structure and function of the tricuspid valve (TV) with the established prognostic impact of functional tricuspid regurgitation. Current 3-dimensional transesophageal echocardiography prototype software is limited to exploration of the mitral and aortic valves exclusively. Thus, newer analytical software is required for dynamic geometric analysis of the TV morphology for remodeling. This article presents a preliminary experience with novel artificial intelligence-based semiautomated software for TV analysis. The software offers high correlation to surgical inspection by its ability to analyze morphology and dynamics of the valve throughout the cardiac cycle. In addition, it allows higher reproducibility of data analysis and reduces interobserver variability with minimal need for manual intervention. Integration of interactivity through preprocedural placement of specific devices of different sizes and shapes in the mitral and aortic positions facilitates prognostic evaluation of surgical and interventional procedures.

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