Preoperative prediction of lymph node metastasis in patients with ovarian cancer using contrast-enhanced computed tomography-based intratumoral and peritumoral radiomics features
A CT-based combined radiomics signature incorporating intratumoral and peritumoral radiomics features can predict LNM in patients with OC before surgery.
Authors
- Haoyu Liang (ORCID: https://orcid.org/0009-0002-3453-1777)
- Li Sun (ORCID: https://orcid.org/0000-0003-3069-6224)
- Yao Wang (ORCID: https://orcid.org/0000-0002-0713-5018)
- Jing Zhang (ORCID: https://orcid.org/0000-0001-6841-6983)
- Qingyuan Zhang (ORCID: https://orcid.org/0000-0001-7618-4393)
- Chuanping Gao (ORCID: https://orcid.org/0009-0002-3656-5022)
- Qiyuan Li (ORCID: https://orcid.org/0000-0002-8934-8948)
Institutions
- Qingdao University (CN)
- Fudan University (CN)
- Affiliated Hospital of Qingdao University (CN)
- Huashan Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-05-14
- DOI
- https://doi.org/10.3389/fonc.2025.1543873
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36