Radiomics and prognostic nutritional index for predicting postoperative survival in esophageal carcinoma
This study developed a predictive model by combining radiomics with the prognostic nutritional index, enabling the estimation of OS in postoperative patients with ESCC. This model holds promise as a tool for preoperative risk stratification.
Authors
- Weiwei Luo (ORCID: https://orcid.org/0000-0002-0000-420X)
- Jinghui Dong (ORCID: https://orcid.org/0000-0003-3373-1013)
- Yichun Wang (ORCID: https://orcid.org/0000-0002-4062-565X)
- Tong Tong (ORCID: https://orcid.org/0000-0002-9180-8181)
- Xiangxun Chen (ORCID: https://orcid.org/0000-0002-8440-1105)
- Jiaying Deng (ORCID: https://orcid.org/0000-0002-1744-1203)
- Liyang Zhu
- Fan Wang (ORCID: https://orcid.org/0000-0002-2245-3671)
Institutions
- Anhui Medical University (CN)
- Fudan University Shanghai Cancer Center (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1186/s40001-025-02358-0
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University Natural Science Research Project of Anhui Province