Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study

Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study

Abstract Objective To develop and validate a prediction model for early recurrence of stage I lung adenocarcinoma (LUAD) that combines radiomics features based on preoperative CT with tumour spread through air spaces (STAS). Materials and methods The most recent preoperative thin-section chest CT sc...

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Bibliographic Details
Main Authors: Yuhang Wang, Yun Ding, Xin Liu, Xin Li, Xiaoteng Jia, Jiuzhen Li, Han Zhang, Zhenchun Song, Meilin Xu, Jie Ren, Daqiang Sun
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Cancer Imaging
Subjects:
Radiomics
Lung adenocarcinoma
Preoperative CT
Deep learning
STAS
Online Access:https://doi.org/10.1186/s40644-023-00605-3

Internet

https://doi.org/10.1186/s40644-023-00605-3

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