NCT07111364Recruiting
Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study
Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound
Source: ClinicalTrials.gov · Last updated 17 Aug 2025 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
This study aims to develop an ultrasound image-based deep learning system to enable automatic segmentation, T-staging, and pathological grading prediction of bladder tumors. It seeks to enhance the objectivity, accuracy, and efficiency of bladder cancer diagnosis, reduce reliance on physician experience, and provide support for precision medicine and resource optimization.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 400 (estimated)
- First submitted
- 1 Aug 2025
- Start date
- 27 May 2025
- Primary completion date
- 1 May 2026
- Lead sponsor
- Peking University First Hospital
- Diseases
- Bladder cancer
- NCT number
- NCT07111364
What you commit to
- Study type: Observational
- Planned participants: 400
- From 27 May 2025 to the primary completion date, 1 May 2026
- 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.
Age
- Age \>85 years;
- Patients unable to undergo abdominal/transrectal ultrasound (e.g., uncooperative individuals, technically inadequate images);
- History of bladder tumor surgery, radiotherapy, chemotherapy, or systemic therapy within 3 months; ④ Patients with indwelling medical devices (e.g., double-J ureteral stents, urinary catheters);
- Failure to undergo bladder tumor surgery within 2 weeks post-ultrasound; ⑥ Non-urothelial carcinoma or pathologically unconfirmed diagnoses.
Age in the registry: 18 years to 85 years · Sex: All · 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 |
|---|---|---|---|
| Department of Urology, Peking University First Hospital Coordinator of this site? Confirm its status | Beijing | China | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.