Condition: Prostate Cancer (Diagnosis) · Clinically Significant Prostate Cancer · Sponsor: Guangxi Medical University
This is a multicenter observational study. A deep learning model integrated with multimodal imaging and digital pathology spatial registration is built based on preoperative multiparametric magnetic resonance imaging, transrectal ultrasound and postoperative digital pathological whole slide images. The study is designed to achieve accurate prediction of clinically significant prostate cancer and non-invasive risk stratification. Unnecessary prostate biopsy and overdiagnosis can be reduced to support the optimization of clinical diagnosis and treatment strategies.
This description comes directly from the study's public registry record.
Caigou Shi, MD · +86 13677729003 · shicaigou@sr.gxmu.edu.cn
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| Liuzhou People's Hospital Affiliated to Guangxi Medical University | Liuzhou, Guangxi, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07614256