A machine learning approach for predicting descending thoracic aortic diameter

A machine learning approach for predicting descending thoracic aortic diameter

BackgroundTo establish models for predicting descending thoracic aortic diameters and provide evidence for selecting the size of the stent graft for TBAD patients.MethodsA total of 200 candidates without severe deformation of aorta were included. CTA information was collected and 3D reconstructed. I...

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Bibliographic Details
Main Authors: Ronghuang Yu, Min Jin, Yaohui Wang, Xiujuan Cai, Keyin Zhang, Jian Shi, Zeyi Zhou, Fudong Fan, Jun Pan, Qing Zhou, Xinlong Tang, Dongjin Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
machine learning
aortic diameter
TEVAR
CTA
predictive model
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1097116/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1097116/full

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