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CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer

Crossref DOI link: https://doi.org/10.1186/s40644-025-00928-3

Published Online: 2025-08-21

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

Authors

Lu, Xiaoyan

Liu, Fan

E, Jiahui

Cai, Xiaoting

Yang, Jingyi

Wang, Xueqi

Zhang, Yuwei

Sun, Bingsheng

Liu, Ying
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82472063)
License Information

Text and Data Mining valid from 2025-08-21

Version of Record valid from 2025-08-21
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Article History

Received: 1 June 2025

Accepted: 12 August 2025

First Online: 21 August 2025

Declarations

:

: This study was conducted in line with the Declaration of Helsinki. The requirement for patient informed consent was waived by our institutional review board due to the retrospective study design.

: Not applicable.

: The authors declare no competing interests.

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