Association of automated quantified emphysema and interstitial lung abnormality with survival in non-small cell lung cancer
The study explores artificial intelligence (AI) quantified emphysema and interstitial lung abnormality (ILA) severity in non-small cell lung cancer (NSCLC) prognosis. The AI-quantified whole emphysema severity and ILA severity were independent prognostic factors for NSCLC patient outcome, while regional emphysema and regional ILA severity were not. AI-quantified emphysema and ILA severity may help predict the survival of NSCLC patients and help clinicians make informed treatment decisions.
Authors
- Bohui Chen
- Changyu Liang (ORCID: https://orcid.org/0000-0001-9374-1526)
- G. Weng
- Yu Pu
- Jiuquan Zhang
- Junli Tao
- Zhenyu Wang
- Chengzhan Qi
Institutions
- Chongqing University (CN)
- Chongqing Cancer Hospital (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1186/s13244-025-02180-6
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Chongqing
- Centre Scientifique et Technique du Bâtiment