Artificial Intelligence-assisted Uro-Cam Catheter Assessment System for Diagnosing Bladder Cancer

Sponsor
Chinese University of Hong Kong
Study ID
NCT07095751
Status
Not Yet Recruiting

Notify me when recruiting opens

Save your spot on the interest list for this study. We'll keep your details with this study so our team can follow up when recruiting opens.

Not yet recruiting

Add your contact details and location so we can keep your interest tied to this study.

Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • AI Uro-Cam — DEVICE
    As stated in AI Uro-Cam arm description

Study Details

This is a single-arm study investigating the safety, feasibility and diagnostic performance of AI-assisted Uro-Cam catheter assessment that will be performed at the Prince of Wales Hospital. All patients who are referred to the urology outpatient clinic for hematuria workup, and bladder cancer patients who require follow-up cystoscopy, will be screened for study eligibility. If eligible, patients will be recruited into the study with a proper informed consent. All recruited patients will undergo the AI-assisted Uro-Cam catheter assessment followed by a conventional flexible cystoscopy. The study will be conducted in accordance with the Declaration of Helsinki, and it will be registered in ClinicalTrials.gov. An AI-assisted Uro-Cam catheter assessment will be arranged for all recruited study subjects. After the AI-assisted Uro- Cam catheter assessment, a conventional flexible cystoscopy will be conducted in the same session. Biopsy will be taken from any suspicious lesion detected upon AI-assisted Uro-Cam catheter assessment or conventional flexible cystoscopy. After all the procedures, an End-of-study visit will be arranged 4-6 weeks later. The primary outcomes include 30-day complications, and the technical success rate of the AI-assisted Uro-Cam catheter assessment. 30-day complications will be assessed and grading according to the Clavien-Dindo classification. Technical success is defined by the completion of the whole Uro-Cam catheter assessment. The secondary outcomes include the AUC, sensitivity, specificity, positive predictive value, and negative predictive value in detecting histologically confirmed bladder cancer.

Key Dates

First listed
Jul 31, 2025
Start date
Jul 31, 2028
Status verified
Jul 2026
Primary completion
Dec 31, 2028
Completion
Dec 31, 2028

Study Design

Enrollment
60 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC

Arms

  • Experimental: AI Uro-Cam
    All recruited patients will undergo the AI-assisted Uro-Cam catheter assessment followed by a conventional flexible cystoscopy in the same session. Biopsy will be taken from any suspicious lesion detected upon AI-assisted Uro-Cam catheter assessment or conventional flexible cystoscopy.

Primary Outcome Measure

30-day complications [ Time Frame: Thirty days after the allocated treatment ]

Central Contacts

Find similar trials

Related Studies