Polyp and adenoma detection rates in the proximal and distal colon.
Erika S Boroff, Suryakanth R Gurudu, Joseph G Hentz...
https://pubmed.ncbi.nlm.nih.gov/23567353Actively Recruiting
Led by Jagiellonian University · Updated on 2025-01-22
630
Participants Needed
2
Research Sites
60 weeks
Total Duration
Colorectal cancer is the second most common cancer in European Union countries. Colonoscopy is the main method used to detect and prevent colorectal cancer by identifying and removing precancerous lesions like adenomas and serrated polyps. This study investigates how artificial intelligence (AI) might improve the detection rate of polyps and early colorectal cancer stages during colonoscopy procedures. The study uses an AI-assisted device called the Endo-Aid CADe system, which helps endoscopists by recognizing suspicious lesions in real time during colonoscopy. The system processes images from the colonoscopy and highlights potential polyps on the monitor to assist detection. Participants undergo standard outpatient colonoscopy with or without this AI device to compare outcomes. Participants are adults aged 50 to 65 scheduled for outpatient colonoscopy. During the study, researchers will monitor how often adenomas are detected using the AI system compared to usual care. The primary measurement is the adenoma detection rate during colonoscopy. The study excludes those with previous colonoscopy, colorectal surgery, certain inflammatory bowel diseases, or ongoing biological therapy. Consent to participate is required.
CONDITIONS
Artificial Intelligence in Colonoscopy
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Total: 2 locations
1
MEDICINA Medical Center
Krakow, Lesser Poladn, Poland, 31559
Actively Recruiting
2
Brothers Hospitallers Medical Center, Hospital of St John of god in Krakow
Krakow, Lesser Polasd, Poland, 31061
Actively Recruiting
Z
Zofia Orzeszko, MD
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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