Explainable multiparameter MRI radiomics model for the noninvasive tracing of the origin of vertebral metastatic cancer: a multicenter cohort study
Our model was capable of distinguishing VMC from benign lesions and accurately predicting its primary origin. It demonstrated high generalizability and interpretability and represents a promising noninvasive tool to support clinical decision making and reduce invasive biopsies.
Authors
- Xuexiao Ma (ORCID: https://orcid.org/0000-0002-0967-6424)
- Ziyue Zhang (ORCID: https://orcid.org/0000-0002-4556-573X)
- Genji Yuan (ORCID: https://orcid.org/0000-0002-8710-2266)
- Yan Wang (ORCID: https://orcid.org/0009-0001-2381-2680)
- Hao Zhang (ORCID: https://orcid.org/0000-0003-1974-1311)
- Tongshuai Xu (ORCID: https://orcid.org/0000-0002-8410-5402)
- Meng Kong (ORCID: https://orcid.org/0000-0002-1466-9667)
- Xin Zhong
- Ruochen Wu (ORCID: https://orcid.org/0009-0008-6231-6920)
- Hao Tao
- Ruixiang Xu
Institutions
- Qingdao University (CN)
- Binzhou Medical University (CN)
- Shandong University of Aeronautics (CN)
- Hebei North University (CN)
- Yuhuangding Hospital (CN)
- Affiliated Hospital of Qingdao University (CN)
- Qingdao Municipal Hospital (CN)
- Shandong Institute of Business and Technology (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1097/js9.0000000000003819
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00