Journal Article
Randomized Controlled Trial
Research Support, Non-U.S. Gov't
Add like
Add dislike
Add to saved papers

Colorectal surveillance interval assignment based on in vivo prediction of polyp histology: impact of endoscopic quality improvement program.

BACKGROUND: Validated training methods are needed before in vivo optical diagnosis can be used to guide colorectal cancer surveillance interval assignments.

OBJECTIVES: To assess the impact of endoscopist training on accuracy of surveillance intervals based on in vivo optical diagnosis.

DESIGN: Prospective, randomized study.

SETTING: Tertiary referral center.

PATIENTS: A total of 1231 patients with colorectal polyps (before training, n = 577; after training, n = 654).

INTERVENTIONS: Endoscopists were randomized to either participate or not participate in two 1-hour training sessions. Endoscopists' in vivo pathology predictions were recorded for all resected polyps. The accuracy of in vivo prediction-guided surveillance intervals were compared with pathology-guided intervals as the criterion standard. Surveillance interval accuracy before and after training were analyzed.

MAIN OUTCOME MEASUREMENTS: Surveillance interval accuracy based on in vivo polyp predictions with pathology-guided intervals as criterion standard before and after a training intervention.

RESULTS: Optically predicted surveillance intervals for the trained group of endoscopists had an overall accuracy of 84% (242/287) before training and 82% (261/317) after training. There was little evidence to suggest that training had a meaningful impact on the accuracy of optically predicted surveillance intervals (odds ratio 1.20; 95% CI, 0.76-1.89, P = .44).

LIMITATIONS: Limitations include small sample size, lack of endoscopist prediction confidence levels, and optional use of narrow-band imaging.

CONCLUSIONS: Surveillance interval accuracy did not meet published thresholds (>90%) to use in vivo optical diagnosis without pathologic confirmation. Larger studies, focused specifically on the impact of training, are needed to validate methods to improve polyp diagnosis and surveillance predication accuracy.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app