A CT-based deep learning model to predict local recurrence-free survival in primary retroperitoneal sarcoma
The CT-based DL model effectively predicts LRFS preoperatively in RPS, aiding risk stratification and guiding individualized therapeutic strategies.
Authors
- Ziyang Xue
- Yanjun Sun (ORCID: https://orcid.org/0009-0000-2535-9237)
- Junxiang Zhang (ORCID: https://orcid.org/0009-0003-2561-7656)
- Jie Lian (ORCID: https://orcid.org/0000-0002-2474-0041)
- Ting Liang
- Yaru Ren
- Xuqi Li
- Jianhong Gao
- Shufeng Wang
- Ke Liu
Institutions
- Northwest University (CN)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-01-02
- DOI
- https://doi.org/10.3389/fmed.2025.1725377
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Key Research and Development Projects of Shaanxi Province