Development of a preoperative prediction tool for massive intraoperative blood loss in spinal metastases surgery integrating MRI and clinical data: a multicenter study
By integrating MRI radiomics features, our model reduces the systemic biases of clinical-only models that depend on unreliable histological surrogates. This enables more accurate and individualized risk stratification, providing a reliable tool to guide preoperative planning and support more accurate risk stratification for patients with spinal metastases.
Authors
- Jianru Xiao
- Xuan Zhang (ORCID: https://orcid.org/0000-0001-6062-6708)
- Haoyang Li (ORCID: https://orcid.org/0000-0002-4499-0531)
- Xiang Wang (ORCID: https://orcid.org/0000-0002-0913-0501)
- Wei Xu (ORCID: https://orcid.org/0000-0001-9465-1880)
- Xinxin Fan (ORCID: https://orcid.org/0000-0002-0877-2393)
Institutions
- Shanghai Changzheng Hospital (CN)
- Zero to Three (US)
- PLA Navy General Hospital (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1097/js9.0000000000003800
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00