AI-Assisted Colonoscopy Scoring for Ulcerative Colitis Activity
Studies a simpler colon scoring method using imaging and AI in adults with ulcerative colitis.
Plain-language title generated from the registry record
Registry title: AI-driven Narrow-band Imaging Score for Disease Assessment and Outcome Prediction in Ulcerative Colitis
Key facts
- Where
- Leuven, BelgiumSee 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 75 years old?
Source: NCT06709209, who can take part
Where in Belgium
- University of LeuvenLeuven, BelgiumNot yet recruiting
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
- University College Cork
- Trial code
- NCT06709209
- Record updated
- 3 December 2024
- Original description
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.Read full original descriptionShow less
A Novel Simplified Endoscopic Score aiMed at Evaluating Ulcerative cOlitis Activity Through TXI, RDI and NBI Vascular Assessment and at prEdicting Clinical Outcome and Its Applicability in an arTificial Intelligence System: the MONET Study
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.
Inclusion: Adult patients aged 18 to 75 years old; Established diagnosis of UC (for at least six months in duration), independently from their active treatment; Undergoing endoscopy for disease activity assessment or cancer surveillance.
Exclusion: If the participant has been in a recent experimental trial, these must have been completed not less than thirty days prior to this study; Contraindications to endoscopy (including toxic megacolon) and biopsies (including severe coagulopathy/thrombocytopenia); Poor bowel preparation (defined as total BBPS <6 or BBPS <2 in observed segment for sigmoidoscopy); Significant co-morbidities limiting life expectancy and conferring high risk of endoscopy; Pregnant and breast-feeding subjects; Inability to provide informed consent.