Predicting bone metastasis and high-grade Gleason scores in prostate cancer: a retrospective study integrating clinical features and magnetic resonance imaging radiomics
We proposed a predictive model that integrated clinical features and radiomics features obtained from prostate MRI, offering a non-invasive and radiation-free approach to predict bone metastasis and high-grade Gleason scores in PCa.
Authors
- Bin Zou
- Yongfei Guo (ORCID: https://orcid.org/0000-0002-7980-8963)
- Yuling Yang (ORCID: https://orcid.org/0000-0002-6118-5446)
- Bing Chen (ORCID: https://orcid.org/0000-0002-0988-9534)
- Bowen Zheng (ORCID: https://orcid.org/0000-0001-8653-8060)
- Shuiquan Yu
Institutions
- Guangzhou University of Chinese Medicine (CN)
Publication Details
- Journal
- Translational Andrology and Urology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/tau-2025-412
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00