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AI-driven Narrow-band Imaging Score for Disease Assessment and Outcome Prediction in Ulcerative Colitis

Study acronym: MONET
StatusRecruiting
PhaseNot specified
Started
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Record status
This record was last updated December 3, 2024 (before its estimated September 30, 2026 completion). Its status may not reflect the trial's current state.

Record History

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  1. Study description expanded, about 24 wordsv2
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
This international multicentre prospective study aims to develop a new simple score using enhanced endoscopic techniques which focus on the vascular features of the colon and reliably distinguish between a quiescent and a mild inflammation in ulcerative colitis (UC). The diagnostic performance of the new score in defining disease activity/remission compared to existing endoscopic and histological scores and predict long-term clinical outcomes will be evaluated. The study also aims to adapt current artificial intelligence (AI) algorithms for enhanced endoscopic techniques to improve standardization in UC disease assessment and outcome prediction.
Trial Details
NCT Number NCT06709209
Lead Sponsor University College Cork
Collaborators: Olympus
Conditions
(from sponsor)		 Ulcerative Colitis (UC)
Related terms Colitis, Ulcerative
Enrollment 300 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov