Development and Validation of an <scp>AI</scp> ‐Assisted Predictive Model Integrating <scp>R2</scp> * Mapping and Clinical Indicators for Clinically Significant Prostate Cancer
The AI-enhanced nomogram integrating clinical and multiparametric MRI data accurately predicts csPCa noninvasively, with R2* significantly improving performance. This tool facilitates personalized clinical decision-making.
Authors
- Guangyong Ai (ORCID: https://orcid.org/0009-0004-8559-8490)
- Rui Zhang (ORCID: https://orcid.org/0000-0002-6147-1573)
- Jing Fang (ORCID: https://orcid.org/0000-0001-9028-3080)
- Yonggui SHI
- Xin Li
- Xiaojing He
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/cam4.71656
- Citations
- 1
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 36.44
Funders
- Chongqing Medical University
- Chongqing Municipal Education Commission
- Siemens Healthineers
- Centre Scientifique et Technique du Bâtiment