A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach
This study validated the potential of T2W and ADC image radiomics features as biomarkers in distinguishing csPCa. Combining these features with clinical indicators for csPCa Gleason grading provides superior predictive performance and significant clinical benefit.
Authors
- Jingjing Cui (ORCID: https://orcid.org/0000-0003-1540-1467)
- Xulun Liu
- Chuanmei Jiao (ORCID: https://orcid.org/0000-0003-3200-5706)
- Yan Xie (ORCID: https://orcid.org/0000-0001-8987-4844)
- Zhen Kang
- Yu Zou (ORCID: https://orcid.org/0000-0002-4413-1139)
- Lei Chen (ORCID: https://orcid.org/0000-0002-8045-6336)
- Xuechun Wang (ORCID: https://orcid.org/0000-0001-8706-9534)
- Fen Ma (ORCID: https://orcid.org/0000-0001-8297-7605)
- Ronghua Tian
- Yang Zhang (ORCID: https://orcid.org/0000-0002-9081-0802)
Institutions
- Jiujiang University (CN)
- The Central Hospital of Xiao gan (CN)
- United Imaging Healthcare (China) (CN)
- Tongji Hospital (CN)
- Wuhan University of Science and Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Journal of Medical Radiation Sciences
- Published
- 2024-12-19
- DOI
- https://doi.org/10.1002/jmrs.841
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00