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Tundra lists 2 Crohn's Disease Colon clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT07694362
Narrow Band Imaging Versus Artificial Intelligence for Colonic Surveillance in Inflammatory Bowel Disease
Patients with inflammatory bowel disease (IBD) - ulcerative colitis or Crohn's disease - have a higher risk of developing colorectal cancer than the general population. For this reason, regular colonoscopies are recommended to look for early warning signs, such as abnormal areas of tissue called dysplasia, which can develop into cancer over time. Finding these abnormal areas during colonoscopy can be difficult because IBD causes ongoing inflammation that can make the bowel mucosa look irregular, hiding subtle changes. Doctors currently use a technique called narrow-band imaging (NBI), a special light setting on the colonoscope that enhances the visibility of the bowel, to help spot these areas more easily. A newer tool, artificial intelligence (AI)-assisted detection, has shown promise in helping doctors find more polyps during routine colonoscopies in the general population. However, this AI tool was developed and tested mostly in people without IBD, so it is not yet known whether it works as well in people with IBD, whose bowel can look very different due to chronic inflammation. This study will directly compare the AI tool (CADe; ENDO-AID, Olympus) with narrow-band imaging to see which one is better at finding abnormal areas during colonoscopy in patients with long-standing ulcerative colitis or Crohn's disease who are having their routine cancer surveillance exam. Each participant will have one colonoscopy in which the bowel is examined twice in a row, once with each technique, by two different doctors, in random order. This lets researchers compare both methods directly within the same patient, which is the fairest comparison. The study aims to enroll 60 patients at Vall d'Hebron University Hospital in Barcelona, Spain. Researchers hope the results will help determine whether AI tools - which are widely available and easier to use than NBI - can be a reliable alternative for IBD surveillance, potentially making this important cancer-screening exam more accessible in the future.
Gender: All
Ages: 18 Years - Any
Updated: 2026-07-09
1 state
NCT06655415
Family Members At INcreased-risk for Developing Inflammatory Bowel Disease
First-degree relatives of people with inflammatory bowel disease ("IBD," including Crohn's disease and ulcerative colitis) have an increased risk for developing IBD themselves. This study will follow unaffected first-degree relatives (who do not have IBD) over time to understand if their behaviors, diet, and biomarkers for IBD can help predict who gets IBD and if IBD can be prevented in these high-risk individuals. Participants will be asked once per year to complete a questionnaire and have their blood, stool, and urine collected. The anticipated length of the study (registry) is approximately 10 years or longer. Parts of this study, such as the questionnaires and stool and urine collection, may be done from home, while other parts, such as the blood draw, will need to be done from Massachusetts General Hospital.
Gender: All
Ages: 14 Years - Any
Updated: 2024-12-20
1 state