Advancing presurgical non-invasive spread through air spaces prediction in clinical stage IA lung adenocarcinoma using artificial intelligence and CT signatures

Advancing presurgical non-invasive spread through air spaces prediction in clinical stage IA lung adenocarcinoma using artificial intelligence and CT signatures

BackgroundTo accurately identify spread through air spaces (STAS) in clinical stage IA lung adenocarcinoma, our study developed a non-invasive and interpretable biomarker combining clinical and radiomics features using preoperative CT.MethodsThe study included a cohort of 1,325 lung adenocarcinoma p...

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Bibliographic Details
Main Authors: Guanchao Ye, Guangyao Wu, Yiying Li, Chi Zhang, Lili Qin, Jianlin Wu, Jun Fan, Yu Qi, Fan Yang, Yongde Liao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Surgery
Subjects:
spread through air spaces
lung adenocarcinoma
radiomics
surgical strategy
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2024.1511024/full
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https://www.frontiersin.org/articles/10.3389/fsurg.2024.1511024/full

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