Fusion model combining ultrasound-based radiomics and deep transfer learning with clinical parameters for preoperative prediction of pelvic lymph node metastasis in cervical cancer
We developed a multimodal fusion model integrating ultrasound-based radiomics, DTL, and clinical parameters for preoperative PLNM prediction in cervical cancer. The proposed nomogram provides a clinically applicable, cost-effective tool for preoperative PLNM prediction, particularly valuable for optimizing treatment decisions in resource-limited settings.
Authors
- Bing Jin (ORCID: https://orcid.org/0009-0005-1040-8012)
- Yongzhi Cai (ORCID: https://orcid.org/0000-0002-8451-3828)
- Ji Wu
- Tongtong Huang (ORCID: https://orcid.org/0000-0002-6615-1149)
- Jihan Wang (ORCID: https://orcid.org/0000-0003-1143-363X)
- Shengxian Bao
Institutions
- First Affiliated Hospital of GuangXi Medical University (CN)
- Tumor Hospital of Guangxi Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-11-13
- DOI
- https://doi.org/10.3389/fonc.2025.1681029
- Citations
- 1
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.06
Funders
- Natural Science Foundation of Guangxi Province