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

University College Cork (UCC)

Status

Enrolling

Conditions

Ulcerative Colitis (UC)

Treatments

Diagnostic Test: Stool

Procedure: Intestinal biopsies

Diagnostic Test: blood sampling

Procedure: Colonoscopy after bowel cleansing

Other: Clinical follow-up

Study type

Observational

Funder types

Other

Industry

Identifiers

NCT06709209

APC193

Details and patient eligibility

About

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.

Full description

This is a multicentre prospective international study. This study aims at developing a new simple endoscopic score using white light endoscopy - high definition (WLE-HD), Texture and colour enhancement imaging (TXI), red dichromatic imaging (RDI) and narrow-band imaging (NBI) modes, focusing on vascular features to distinguish between quiescent versus patchy mild Ulcerative Colitis. It will evaluate the new score's diagnostic performance in defining disease activity/remission compared to existing endoscopic and histological scores and predict long-term clinical outcomes. Finally, it also aims to develop and adapt existing artificial intelligence (AI) algorithms according to WLE-HD, TXI, RDI and NBI to grade and standardize endoscopic and histological disease assessment and predict long-term clinical outcomes.

The study will be divided in several phases:

In the first phase, the score will be developed on the first 30 consecutive virtual electronic chromoendoscopy (VCE) videos (using TXI-RDI and NBI) of UC patients, with different grade of disease activity. Experts in inflammatory bowel disease (IBD) endoscopy will review images and videos from recruited patients to define the endoscopic mucosal and vascular features of the new score. These will be used for a stepwise discussion. A round table discussion using modified Delphi method will be conducted by experts worldwide to ensure equal participation and identify the best component descriptors of endoscopic vascular healing. The components that will achieve 100% consensus will be selected, and the most important endoscopy predictive variables will be confirmed by using a machine learning technique. Finally, a new endoscopic score will be generated. This should be reproducible, valid and responsive.
In the second phase, the new endoscopic scoring system will be validated in a large cohort of UC patients, focusing on patients with quiescent disease versus patchy mild colitis. Diagnostic accuracy, interobserver agreement and ability to predict clinical outcome according to the new endoscopic score focused on vascular features assessed with VCE will be evaluated
In the third phase, the reproducibility of the new endoscopic scoring system will be evaluated among gastroenterologists with different levels of experience through a short survey and a computerised training module.
In the fourth phase, new and existing AI algorithms will be developed and adapted to these endoscopic videos and histological images to grade and standardize endoscopic and histological disease assessment and predict long-term clinical outcome in UC.

Enrollment

300 estimated patients

Sex

All

Ages

18 to 75 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

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 criteria

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
If the participant has been in a recent experimental trial, these must have been completed not less than thirty days prior to this study