Fully-connected network-based prediction model for lymph node metastasis in clinical early-stage endometrial cancer: development and validation in two centers
The model proposed in this study can be used for risk prediction of lymph node metastasis in early-stage patients. The nomograms can be used as a feasible and easily used alternative for the model.
Authors
- Hai-Kuo Wang (ORCID: https://orcid.org/0000-0002-5027-3838)
- Yulan Ren (ORCID: https://orcid.org/0000-0001-9035-2218)
- Yiqin Wang (ORCID: https://orcid.org/0000-0003-1138-7741)
- Xiaojun Chen (ORCID: https://orcid.org/0000-0002-5493-1500)
- Wei Liu (ORCID: https://orcid.org/0000-0001-8055-0317)
- Zhiying Xu (ORCID: https://orcid.org/0000-0003-0233-9713)
- Yuzhen Huang (ORCID: https://orcid.org/0000-0003-1244-5579)
- Yu Xue (ORCID: https://orcid.org/0000-0001-8431-2914)
- Shuyan Cai
Institutions
- Fudan University Shanghai Cancer Center (CN)
- Shanghai Tenth People's Hospital (CN)
- Obstetrics and Gynecology Hospital of Fudan University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-08-25
- DOI
- https://doi.org/10.3389/fonc.2025.1627662
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fudan University
- Science and Technology Commission of Shanghai Municipality