NCT07614256Recruiting
Multimodal Imaging and Digital Pathology for Prostate Cancer Prediction
A Multicenter Study of a Deep Learning Model Based on Spatial Registration of Multimodal Imaging and Digital Pathology for Predicting Clinically Significant Prostate Cancer
Source: ClinicalTrials.gov · Last updated 29 May 2026
Brief summary (registry, in English)
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.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 3000 (estimated)
- First submitted
- 13 May 2026
- Start date
- 30 May 2025
- Primary completion date
- 30 Jun 2030
- Lead sponsor
- Guangxi Medical University
- Diseases
- Prostate cancer
- NCT number
- NCT07614256
What you commit to
- Study type: Observational
- Planned participants: 3000
- From 30 May 2025 to the primary completion date, 30 Jun 2030
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Prior history of pelvic radiation therapy or radical prostatectomy.
- Concurrent other primary malignant tumors.
- Contraindications to MRI examination (e.g., incompatible metallic implants, severe claustrophobia).
Other illness
- Severe systemic diseases that may affect the evaluation of the prostate.
Other
- Incomplete or poor-quality mpMRI or TRUS images (e.g., motion artifacts, insufficient sequences).
- Subjects with incomplete clinical or pathological data.
Who the study is looking for
- Subjects who are scheduled to undergo or have undergone prostate biopsy or radical prostatectomy.
- Subjects who have completed standard-of-care preoperative multiparametric MRI (mpMRI) and transrectal ultrasound (TRUS) examinations.
- Subjects with complete pathological diagnosis results available.
- Age between 40 and 90 years.
- Able and willing to provide written informed consent (for prospective cohort participants only).
Age in the registry: 40 years to 90 years · Sex: Male · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Liuzhou People's Hospital Affiliated to Guangxi Medical University Coordinator of this site? Confirm its status | Liuzhou | China | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.