Neural Network-Based Prediction of Residual Paravalvular Leak in Bicuspid Aortic Valve TAVI Using CT-Derived Anatomical Features
: A multi-modal deep learning model integrating expert-segmented CT imaging with clinical variables demonstrated significantly improved discrimination over the conventional approach in this internal cohort for predicting residual PVL in BAV-TAVI, supporting the integration of segmentation-guided deep learning into pre-procedural TAVI planning. However, given the modest number of outcome events, external validation is required to confirm the generalizability of these findings.
Authors
- Y J Yao
- Y Li
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Ruisi Tang
- M L Chen
- Xinyue Yang (ORCID: https://orcid.org/0009-0008-2535-5306)
- Weili Jiang
- Yuan Feng
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Southwest Jiaotong University (CN)
Publication Details
- Journal
- Biomedicines
- Published
- 2026-04-21
- DOI
- https://doi.org/10.3390/biomedicines14040946
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Department of Xinjiang Uygur Autonomous Region
- National Natural Science Foundation of China
- Department of Science and Technology of Sichuan Province
- Sichuan University
- Natural Science Foundation of Sichuan Province
- Fundamental Research Funds for the Central Universities
- West China Hospital, Sichuan University