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Comparison of Experienced and Inexperienced Raters Using Automated Deep Learning Computed Tomography Analysis to Evaluate Tricuspid Valve and Right Heart Morphology

Year: 2025
Type: article
Abstract: In recent years, various interventional therapies, e.g., edge-to-edge therapies, percutaneous annuloplasty, or orthotopic valve implantation, have emerged to treat symptomatic, inoperable patients with tricuspid regurgitation (TR), as recommended by the current European Society of Cardiology guideline.1 The occurrence of TR increases with age, reaching a prevalence of 4% in patients older than 75 years.2 To plan interventional therapy for these patients—such as percutaneous annuloplasty or orthotopic valve implantation—computed tomography (CT) is routinely used to characterize tricuspid valve anatomy and right heart morphology.
DOI: 10.1016/j.shj.2025.100488
Authors: Isabel Mattig, Maximilian Eichenberg, Elena Romero Dorta, Cheng-Ying Chiu, Nanike Bühring, Ann-Christine Stahl, Georg Böning, Lars-Arne Schaafs, Marc Dewey, Henryk Dreger
Institutions: Humboldt-Universität zu Berlin, Deutsches Herzzentrum der Charité, German Centre for Cardiovascular Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Charité - Universitätsmedizin Berlin, Berlin University Alliance
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,340
OpenAlex ID: W4410109321
FWCI:
Cites: 8
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Related to: 10