CT-based body composition and inflammatory nutritional biomarker nomogram for predicting early postoperative recurrence of non-small cell lung cancer: a multicenter study
The BCINB score, integrating body composition, inflammation, and nutritional markers, is a robust prognostic tool for NSCLC. The nomogram enables precise postoperative ER risk stratification, outperforming conventional staging systems.
Authors
- Li Gong (ORCID: https://orcid.org/0000-0002-6960-9522)
- Jinhong Zhao (ORCID: https://orcid.org/0000-0001-6590-3372)
- Linhua Zhong
- Yongjie Zhou (ORCID: https://orcid.org/0000-0001-9578-3922)
- Jinjun Hu (ORCID: https://orcid.org/0000-0001-7151-0049)
- Wei Zeng (ORCID: https://orcid.org/0000-0002-3351-6973)
- Lan Liu
- Jiahui Jiang (ORCID: https://orcid.org/0000-0002-8645-4008)
- Fei Zou (ORCID: https://orcid.org/0000-0003-4358-9620)
Institutions
- Nanchang University (CN)
- Second Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/jtd-2025-1211
- Citations
- 1
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.05