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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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Ren+QL%22">Ren QL</searchLink>; Department of Graduate School, Dalian Medical University, Dalian, China.<br /><searchLink fieldCode="AU" term="%22Lin+L%22">Lin L</searchLink>; Department of Thoracic Surgery, Wuxi People's Hospital, Wuxi, China.<br /><searchLink fieldCode="AU" term="%22Chu+K%22">Chu K</searchLink>; Department of Graduate School, Xuzhou Medical University, Xuzhou, China.<br /><searchLink fieldCode="AU" term="%22Xu+XR%22">Xu XR</searchLink>; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+HJ%22">Wang HJ</searchLink>; Department of Graduate School, Dalian Medical University, Dalian, China.<br /><searchLink fieldCode="AU" term="%22Wu+J%22">Wu J</searchLink>; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China.<br /><searchLink fieldCode="AU" term="%22You+JZ%22">You JZ</searchLink>; Department of Thoracic Surgery, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China.<br /><searchLink fieldCode="AU" term="%22Hu+JX%22">Hu JX</searchLink>; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+XL%22">Wang XL</searchLink>; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China.<br /><searchLink fieldCode="AU" term="%22Shu+YS%22">Shu YS</searchLink>; Department of Thoracic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China.
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        Value: 10.3389/fonc.2025.1682633
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              Text: 2025 Oct 29
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