Radiopathological System for Quantifying the Tumor Microenvironment and Predicting Prognosis in Osteosarcoma: A Multicenter Study
Motivation: Current quantification methods for osteosarcoma tumors and their tumor microenvironment (TME) are often ineffective, resulting in treatment failures and poor patient prognosis. Goal(s): To develop an automated system integrating MRI and WSI data for precise, quantitative assessment of tumors and TME to improve prognostic predictions. Approach: We developed a system utilizing MRI and WSI data from a 185-patient, multisite cohort, enabling independent assessment of tumors and TME. Results: Combined radiopathomic features significantly improve patient outcome predictions. Impact: This model provides a comprehensive prognostic assessment, essential for advancing predictive tools and extensive validation before clinical application.
Authors
- Shisi Li (ORCID: https://orcid.org/0009-0009-7651-8336)
- Rui-ling She
- Yinghua Zhao (ORCID: https://orcid.org/0000-0003-2101-392X)
- Xiaoping Chen (ORCID: https://orcid.org/0000-0001-7714-3403)
- Xiaoxuan Zhang (ORCID: https://orcid.org/0000-0001-6375-3753)
- Qianjin Feng (ORCID: https://orcid.org/0000-0001-8647-0596)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0228
- Primary Topic
- Sarcoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00