Quantitative analysis for identifying molecular subtypes of small cell lung cancer via two-dimensional and three-dimensional contrast-enhanced computed tomography images: a preliminary study
Quantitative analysis of CECT images via radiomics can noninvasively distinguish NE and non-NE molecular subtypes of SCLC. A simplified 2D radiomics approach performed comparably to 3D volumetric analysis for subtype classification and also demonstrated prognostic relevance. Radiomics could serve as a valuable adjunct for SCLC subtype identification and risk stratification, potentially guiding more personalized treatment decisions.
Authors
- Jialiang Ren (ORCID: https://orcid.org/0000-0001-5616-7035)
- M Li
- S S Hu
- Mengwen Liu (ORCID: https://orcid.org/0000-0001-8006-5995)
- Jiuming Jiang (ORCID: https://orcid.org/0000-0001-9742-7243)
- Xu Jiang
- Lin Yang
- Li Zhang
- Li Liu
- Jian-Xin Zhang
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Shanxi Provincial Cancer Hospital (CN)
- Cancer Hospital of Chinese Academy of Medical Sciences (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-12-01
- DOI
- https://doi.org/10.21037/jtd-2025-1041
- Primary Topic
- Lung Cancer Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00