A prognostic nomogram for T3N0M0 esophageal squamous cell carcinoma patients undergoing radical surgery based on computed tomography radiomics and inflammatory nutritional biomarkers
We developed and validated a nomogram for predicting the OS of postoperative T3N0M0 ESCC patients, integrating nutritional, inflammatory markers, and radiomic signature. The combined nomogram can serve as a robust tool for risk stratification and clinical management.
Authors
- Yangchen Liu (ORCID: https://orcid.org/0000-0003-0723-8743)
- Hongxun Ye
- Hui Ma (ORCID: https://orcid.org/0009-0006-9280-2159)
- Songbing Qin (ORCID: https://orcid.org/0000-0001-7056-1741)
- Fei Gao (ORCID: https://orcid.org/0009-0007-0191-5084)
Institutions
- Soochow University (CN)
- Taixing People's Hospital (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1002/acm2.14504
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21