Artificial intelligence-derived transition zone PSA density as a triage tool to reduce unnecessary prostate systematic biopsies in MRI-negative men
Our AI system enables accurate and reproducible segmentation and measurement of prostate zones. TZ-PSAD demonstrates significantly superior diagnostic performance over conventional PSAD for identifying men with a negative MRI who will have csPCa on a systematic biopsy. TZ-PSAD represents an effective triage metric to reduce unwarranted systematic biopsies in MRI-negative patients.
Authors
- Jiwen Shang (ORCID: https://orcid.org/0000-0003-2971-4683)
- Jianhui Qiu (ORCID: https://orcid.org/0000-0002-4393-612X)
- Jingcheng Zhou (ORCID: https://orcid.org/0000-0002-6226-5667)
- Kan Gong
- Ruiyi Deng (ORCID: https://orcid.org/0009-0008-9632-5753)
- Meixia Shang (ORCID: https://orcid.org/0000-0002-1546-1315)
- Pengsheng Wu
- Xiaoying WANG
- Jingyun Wu
- Yi Liu
- Lin Cai
Institutions
- Peking University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Beijing Chest Hospital (CN)
- Peking University First Hospital (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-02-10
- DOI
- https://doi.org/10.1186/s13244-026-02221-8
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Peking University First Hospital
- Peking University