A CT-based deep learning model for preoperative prediction of spread through air spaces in clinical stage I lung adenocarcinoma

A CT-based deep learning model for preoperative prediction of spread through air spaces in clinical stage I lung adenocarcinoma

ObjectiveTo develop and validate a deep learning signature for noninvasive prediction of spread through air spaces (STAS) in clinical stage I lung adenocarcinoma and compare its predictive performance with conventional clinical-semantic model.MethodsA total of 513 patients with pathologically-confir...

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Bibliographic Details
Main Authors: Xiaoling Ma, Weiheng He, Chong Chen, Fengmei Tan, Jun Chen, Lili Yang, Dazhi Chen, Liming Xia
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Oncology
Subjects:
deep learning
lung adenocarcinoma
spread though air space
computer tomography
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1482965/full
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https://www.frontiersin.org/articles/10.3389/fonc.2024.1482965/full

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