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Practice-Based Learning to Predict Polyp Histology at Colonoscopy

Stanford University · 2011
ClinicalTrials.gov · Datasets · License: Public Domain · 2011
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histologyna
Most colorectal cancers arise from polyps. Most polyps removed at colonoscopy are small. New technologies such as narrowband imaging (NBI) offer the possibility of in differentiation between precancerous and unimportant small polyps. Use of these technologies could decrease the costs and potentially the risks of screening and surveillance colonoscopy. Multiple studies have demonstrated the ability of experienced endoscopists to achieve high accuracy in differentiating polyp types using NBI. The investigators hypothesize that community-based endoscopists can learn to identify polyp type at colonoscopy with the aid of NBI through the use of an introductory didactic program, followed by practice based-learning, and that their experience can serve as guidelines for wider dissemination. The purpose of this study is to test an educational program combining a didactic program followed by practice-based learning that is designed to allow community-based endoscopists to become proficient at the use of NBI in the colon. This study will not affect the care of patients in any way. The research subjects will be the endoscopists, who will perform colonoscopy and polyp removal in the usual clinical fashion, with the addition of attempting to predict polyp type before resection.
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