Evidence map›Paper›PMID 41970198›Full record

ArticleChinese medical journal pulmonary and critical care medicine2026

Progression of interstitial lung abnormalities and its impact on mortality in patients with lung cancer resection.

Ruolin Mao, Haoyun Zhang, Qing Chang, Yilong Teng, Yanfen Ni, Jiani Chen, Mengnan Li, Ning Xu, Hai Zhang, Yuqing Chen and 6 more

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Article in Chinese medical journal pulmonary and critical care medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Ruolin MaoDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.
Haoyun ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Qing ChangDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.
Yilong TengCollege of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China.
Yanfen NiCollege of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China.
Jiani ChenCollege of Public Health, University of South China, Hengyang, Hunan 421001, China.
Mengnan LiDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.
Ning XuDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.
Hai ZhangDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.
Yuqing ChenDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.
Jianqi SunSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Kian Fan ChungAirway Disease Section, National Heart and Lung Institute, Imperial College, London SW3 6LY, UK.
Elisabetta A RenzoniAirway Disease Section, National Heart and Lung Institute, Imperial College, London SW3 6LY, UK.
Yi LuDepartment of Respiratory and Critical Care Medicine, Shanghai Sixth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200233, China.
Huaping DaiDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China.
Feng LiDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Interstitial lung abnormalities (ILAs) are incidental abnormal lung findings on computed tomography that can co-exist with lung cancer, but risk factors for their progression and impact on survival after lung cancer resection remain unclear. This study aimed to identify risk factors for ILA progression, develop a radiomics-based model to predict it, and evaluate the association between ILA progression and mortality. Methods: Patients with ILAs who underwent lung cancer resection in Shanghai Chest Hospital between January 2016 and May 2019 were retrospectively selected and divided into three subcategories at baseline: non-subpleural ILAs, subpleural non-fibrotic ILAs, and subpleural fibrotic ILAs; and three subcategories during follow-up: improved ILAs, unchanged ILAs, and progressive ILAs. Multivariate logistic regression was used to identify clinical and laboratory risk factors associated with ILA progression, and radiomics-based machine learning models were independently constructed to predict ILA progression using baseline CT imaging features. Survival data were analyzed using Kaplan-Meier curves and Cox proportional hazards regression. Results: There were 1363 ILA cases among 10,295 patients who underwent primary lung cancer resection, with a proportion of 13.24%. After 2- and 4-year follow-up, the progression rates of ILAs were 9.86% (65/659) and 10.19% (43/422), respectively. Subpleural fibrotic ILAs (2-year follow-up: OR = 6.078, 95% confidence interval [CI]: 2.633-14.028, Conclusions: ILA progression occurs in about 10% of patients after lung cancer resection and is associated with higher mortality. Subpleural fibrotic ILAs and radiotherapy are key risk factors for progression. Radiomics features effectively predict ILA progression, enabling early identification of high-risk patients.

Indexed as

Interstitial lung abnormalitiesLung cancerMortalityProgressionRadiomics

Identifiers

PMID41970198
PMCPMC13063286

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