Enhanced ISUP grade prediction in prostate cancer using multi-center radiomics data
This study demonstrates that radiomic features extracted based on anatomical sub-region of the prostate can contribute to enhanced ISUP grade prediction. The combination of PZ + GG can provide more comprehensive information with improved accuracy. Further validation of this strategy in the future will enhance its prospects for improving decision-making in clinical settings.
Authors
- Haohui Chen (ORCID: https://orcid.org/0000-0001-8976-3634)
- Xueqing Han
- Qirui Zhang (ORCID: https://orcid.org/0000-0002-9744-8412)
- Yuying Liu (ORCID: https://orcid.org/0000-0002-9119-4925)
Institutions
- Nanjing University of Chinese Medicine (CN)
- Thomas Jefferson University (US)
- Nanjing University of Science and Technology (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Abdominal Radiology
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1007/s00261-025-04858-3
- Citations
- 1
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52