Development and validation of machine learning models for predicting STAS in stage I lung adenocarcinoma with part-solid and solid nodules: a two-center study.

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Title: Development and validation of machine learning models for predicting STAS in stage I lung adenocarcinoma with part-solid and solid nodules: a two-center study.
Authors: Ren QL; Department of Graduate School, Dalian Medical University, Dalian, China., Lin L; Department of Thoracic Surgery, Wuxi People's Hospital, Wuxi, China., Chu K; Department of Graduate School, Xuzhou Medical University, Xuzhou, China., Xu XR; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China., Wang HJ; Department of Graduate School, Dalian Medical University, Dalian, China., Wu J; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China., You JZ; Department of Thoracic Surgery, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China., Hu JX; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China., Wang XL; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China., Shu YS; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China.
Source: Frontiers in oncology [Front Oncol] 2025 Oct 29; Vol. 15, pp. 1682633. Date of Electronic Publication: 2025 Oct 29 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2234-943X
DOI:10.3389/fonc.2025.1682633