使用自动深度学习计算机断层扫描分析评估三尖瓣和右心形态的经验丰富与经验不足的评估者之间的比较
Comparison of Experienced and Inexperienced Raters Using Automated Deep Learning Computed Tomography Analysis to Evaluate Tricuspid Valve and Right Heart Morphology.
作者信息
Mattig Isabel, Eichenberg Maximilian, Romero Dorta Elena, Chiu Cheng-Ying, Bühring Nanike, Stahl Ann-Christine, Böning Georg, Schaafs Lars-Arne, Dewey Marc, Dreger Henryk
机构信息
Deutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Campus Charité Mitte, Berlin, Germany.
Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
出版信息
Struct Heart. 2025 May 6;9(8):100488. doi: 10.1016/j.shj.2025.100488. eCollection 2025 Aug.
•Computed tomography (CT) is used to plan tricuspid valve interventions.•Deep learning-based CT analysis enables fast and accurate right heart assessment.•Results are independent of the users' experience.
•计算机断层扫描（CT）用于规划三尖瓣干预措施。
•基于深度学习的CT分析可实现快速、准确的右心评估。
•结果与用户经验无关。
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