Development and validation of a deep learning-based fully automated algorithm for pre-TAVR CT assessment of the aortic valvular complex and detection of anatomical risk factors: a retrospective, multicentre studyResearch in context

Development and validation of a deep learning-based fully automated algorithm for pre-TAVR CT assessment of the aortic valvular complex and detection of anatomical risk factors: a retrospective, multicentre studyResearch in context

Summary: Background: Pre-procedural computed tomography (CT) imaging assessment of the aortic valvular complex (AVC) is essential for the success of transcatheter aortic valve replacement (TAVR). However, pre-TAVR assessment is a time-intensive process, and the visual assessment of anatomical struc...

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Bibliographic Details
Main Authors: Moyang Wang, Guannan Niu, Yang Chen, Zheng Zhou, Dejing Feng, Yuxuan Zhang, Yongjian Wu, Guangyuan Song, Haibo Zhang, Daxin Zhou, Fang Wang, Changfu Liu, Bo Yu, Kai Xu, Zongtao Yin, Hongliang Cong, Nan Jiang, Pengfei Zhang, Xiquan Zhang, Jian An, Zhengming Jiang, Ling Tao, Jian Yang, Junjie Zhang, Xianxian Zhao, Fanglin Lu, Xianbao Liu, Yanqing Wu, Jianfang Luo, Lianglong Chen, Zhenfei Fang, Xiaoke Shang
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:EBioMedicine
Subjects:
TAVR
TAVI
CT
AI
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396423003602

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http://www.sciencedirect.com/science/article/pii/S2352396423003602

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