Crossmark

A radiomics-based machine learning model and SHAP for predicting spread through air spaces and its prognostic implications in stage I lung adenocarcinoma: a multicenter cohort study

Crossref DOI link: https://doi.org/10.1186/s40644-025-00935-4

Published Online: 2025-09-29

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Yuhang

Liu, Xufeng

Zhao, Xiaojiang

Wang, Zixiao

Li, Xin

Sun, Daqiang
Funding

Funding for this research was provided by:

Tianjin Key Medical Discipline (Specialty) Construction Project (TJYXZDXK-018A)
License Information

Text and Data Mining valid from 2025-09-29

Version of Record valid from 2025-09-29
More Information

Article History

Received: 31 March 2025

Accepted: 5 September 2025

First Online: 29 September 2025

Declarations

:

: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. This study was approved by the ethical review committee of Tianjin Chest Hospital (2025YS-036-01).

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below