Computer Aided Detection, Tandem Colonoscopy Study

Computer Aided Detection, Tandem Colonoscopy Study

The purpose of this project is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine in real-time how a computer-aided detection (CADe) algorithm will perform when compared to standard screening or surveillance colonoscopy alone. Design will be a multi-center, prospective, unblinded randomized tandem colonoscopy study. 196 patients referred for either screening or surveillance colonoscopy will be included.

Inclusion Criteria:

• Patients presenting to the endoscopy unit for a screening colonoscopy or a surveillance colonoscopy
• Willingness to undergo tandem colonscopies with and without the use of computer-aided software while undergoing conventional colonoscopy with sedation
• Ability to provide written, informed consent (approved by IRB) and understand the responsibilities of trial participation

Exclusion Criteria:

• People with diminished cognitive capacity
• Patients undergoing diagnostic colonoscopy (e.g. as an evaluation for active GI bleed)
• Patients with incomplete colonoscopies (those where endoscopists did not successfully intubate the cecum due to technical difficulties or poor bowel preparation)
• Patients that have standard contraindications to colonoscopy in general (e.g. documented acute diverticulitis, fulminant colitis and known or suspected perforation).
• Patients with inflammatory bowel disease
• Patients referred for endoscopic mucosal resection (EMR)