A clinical-radiomics nomogram based on multisequence MRI for predicting intraoperative vertebral artery injury in patients with primary cervical spine tumor: a diagnostic study
The present study presents a nomogram that incorporates radiomic signatures and clinical features, which could be used to predict the risk of intraoperative VA injury in patients with primary cervical tumors.
Authors
- Shuming Hou
- Hongbiao Sun (ORCID: https://orcid.org/0000-0002-1964-6157)
- Lingyun Shen
- Minglei Yang (ORCID: https://orcid.org/0000-0003-4065-5995)
- Guangwen Duan
- Jiayang Yan
- Fukai Li
- Xiang Wang
- Shiyuan Liu
- Xiangzhi Ni
- Jiayi Zhang
- Tielong Liu
Institutions
- University of Shanghai for Science and Technology (CN)
- Second Military Medical University (CN)
- Shanghai Changzheng Hospital (CN)
Publication Details
- Journal
- European Spine Journal
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1007/s00586-025-09706-y
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00