Study of bladdeR Cancer Detection in Standard White Light Versus AI-Supported Endoscopy-02
NCT ID: NCT06780358
Last Updated: 2025-01-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ENROLLING_BY_INVITATION
NA
64 participants
INTERVENTIONAL
2024-11-20
2025-05-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
NONE
Study Groups
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WLC detection
Detection of bladder cancer is conducted according to state-of-the-art procedures in white light modality.
No interventions assigned to this group
AI model - WLC supported detection
Detection of bladder cancer in white light supported by a pre-market AI-support tool.
AI supported detection of bladder cancer
AI-model-supported detection of bladder cancer during white light cystoscopy
Interventions
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AI supported detection of bladder cancer
AI-model-supported detection of bladder cancer during white light cystoscopy
Eligibility Criteria
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Inclusion Criteria
Suspicion of primary or recurrent bladder cancer
Willingness to sign the Informed Consent Form (ICF) for the CI
Ability to comprehend the oral and written Patient Information Leaflet (PIL)
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Aarhus University Hospital
OTHER
Cystotech
INDUSTRY
Responsible Party
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Principal Investigators
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Jakobsen
Role: PRINCIPAL_INVESTIGATOR
Department of Urology, Aarhus University Hospital, denmark
Locations
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Department of Urology, Aarhus University Hospital
Aarhus, , Denmark
Countries
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Other Identifiers
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RAISE02-24-02
Identifier Type: -
Identifier Source: org_study_id
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