| Literature DB >> 31579700 |
Martin Fabritius1, Jean-Michel Gonzalez2,3, Aymeric Becq3,4, Xavier Dray3,4, Emmanuel Coron3,5, Lucie Brenet-Defour6, Julien Branche3,7, Romain Gerard7, Côme Lepage6, Laurent Poincloux3,8, Isabelle Lienhart1,9, Paul Bonniaud1, Mohamed Tayeb Bounnah10, Jérôme Rivory1,3, Vincent Lépilliez3,11, Fabien Subtil12, Jean-Christophe Saurin1,3, Thierry Ponchon1,3,13, Jérémie Jacques3,14, Mathieu Pioche1,3,13.
Abstract
Introduction and study aims Accurate real-time endoscopic characterization of colorectal polyps is key to choosing the most appropriate treatment. Mastering the currently available classifications is challenging. We used validated criteria for these classifications to create a single table, named CONECCT, and evaluated the impact of a teaching program based on this tool. Methods A prospective multicenter study involving GI fellows and attending physicians was conducted. During the first session, each trainee completed a pretest consisting in histological prediction and choice of treatment of 20 colorectal polyps still frames. This was followed by a 30-minute course on the CONECCT table, before taking a post-test using the same still frames reshuffled. During a second session at 3 - 6 months, a last test (T3 M) was performed, including these same still frames and 20 new ones. Results A total 419 participants followed the teaching program between April 2017 and April 2018. The mean proportion of correctly predicted/treated lesions improved significantly from pretest to post-test and to T3 M, from 51.0 % to 74.0 % and to 66.6 % respectively ( P < 0.001). Between pretest and post-test, 343 (86.6 %) trainees improved, and 153 (75.4 %) at T3 M. Significant improvement occurred for each subtype of polyp for fellows and attending physicians. Between the two sessions, trainees continued to progress in the histology prediction and treatment choice of polyps CONECCT IIA. Over-treatment decreased significantly from 30.1 % to 15.5 % at post-test and to 18.5 % at T3 M ( P < 0.001). Conclusion The CONECCT teaching program is effective to improve the histology prediction and the treatment choice by gastroenterologists, for each subtype of colorectal polyp.Entities:
Year: 2019 PMID: 31579700 PMCID: PMC6773571 DOI: 10.1055/a-0962-9737
Source DB: PubMed Journal: Endosc Int Open ISSN: 2196-9736
Fig. 1CONECCT table. The words in bold are the ones that require particular attention when analyzing lesions.
Fig. 2Flowchart of the study.
Overall results of histological prediction and treatment choice.
|
|
|
| |||||||
|
|
|
|
|
|
|
|
|
| |
|
| 60.5 | 76.2 | 70.3 | 61.1 | 77.4 | 70.9 | 51.0 | 74.0 | 66.6 |
|
| 54.6 | 73.6 | 65.5 | 57.2 | 75.3 | 66.4 | 45.0 | 71.5 | 59.1 |
|
| 73.9 | 82.1 | 80.4 | 69.9 | 82.4 | 80.3 | 63.9 | 79.9 | 78.9 |
Pre-T, pretest; Post-T, Post-test; T3 M, second training session
Fig. 3 Mean proportion of correctly predicted/treated lesions by subtype of polyp.
Fig. 4Mean proportion of overtreated lesions by subtype of polyp.
Fig. 5Mean proportion of undertreated lesions by subtype of polyp.