Deep Learning Ultrasound Tool for Diagnosing Bladder Tumors
Studies an ultrasound-based deep learning system to help diagnose bladder cancer in adults.
Plain-language title generated from the registry record
Registry title: Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study
Key facts
- Where
- Beijing, ChinaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 85 years old?
Source: NCT07111364, who can take part
Where in China
- Department of Urology, Peking University First HospitalBeijing, ChinaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Peking University First Hospital
- Trial code
- NCT07111364
- Record updated
- 17 August 2025
- Original description
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.Read full original descriptionShow less
Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound
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.
Exclusion: 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.