Development of a prognostic prediction model for non-smoking lung adenocarcinoma based on pathological information and laboratory hematologic indicators: a multicenter study
The prognostic model based on tumor TNM stage, tumor size, white blood cell count, neutrophil percentage, lymphocyte percentage, and hemoglobin levels effectively predicted the prognosis of non-smoking patients with lung adenocarcinoma. Compared with the more studied blood markers at present, the indicators of our model do not need conversion, Our model provides a useful reference for personalized diagnosis and treatment in clinical practice.
Authors
- Qiang Li (ORCID: https://orcid.org/0000-0003-0096-7679)
- Run Xiang (ORCID: https://orcid.org/0000-0002-2565-3783)
- Xiaoxiong Xiao
- Jun Li (ORCID: https://orcid.org/0000-0002-5555-9069)
- Li Wen (ORCID: https://orcid.org/0000-0002-2755-0956)
- Xiaoqin Liu (ORCID: https://orcid.org/0009-0005-4527-7681)
- Peihong Hu
- Wen Zhu (ORCID: https://orcid.org/0000-0002-9827-7766)
- Xiaoqing Liao
Institutions
- Central South University (CN)
- University of Electronic Science and Technology of China (CN)
- Sichuan University (CN)
- Sichuan Cancer Hospital (CN)
- Xiangya Hospital Central South University (CN)
- Dawu County People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-03-14
- DOI
- https://doi.org/10.3389/fimmu.2025.1566195
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00