Development and Comparison of Multimodal Models for Preoperative Prediction of Outcomes After Endovascular Aneurysm Repair

Development and Comparison of Multimodal Models for Preoperative Prediction of Outcomes After Endovascular Aneurysm Repair

ObjectiveThe aim of this study was to develop and compare multimodal models for predicting outcomes after endovascular abdominal aortic aneurysm repair (EVAR) based on morphological, deep learning (DL), and radiomic features.MethodsWe retrospectively reviewed 979 patients (January 2010—December 2019...

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Bibliographic Details
Main Authors: Yonggang Wang, Min Zhou, Yong Ding, Xu Li, Zhenyu Zhou, Zhenyu Shi, Weiguo Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
abdominal aortic aneurysm
endovascular repair (EVAR)
multimodal
morphologic features
deep learning
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.870132/full

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