TY - JOUR
T1 - Validation of a new optical diagnosis training module to improve dysplasia characterization in inflammatory bowel disease
T2 - a multicenter international study
AU - Iacucci, Marietta
AU - Bonovas, Stefanos
AU - Bazarova, Alina
AU - Cannatelli, Rosanna
AU - Ingram, Richard J.M.
AU - Labarile, Nunzia
AU - Nardone, Olga Maria
AU - Parigi, Tommaso Lorenzo
AU - Piovani, Daniele
AU - Siau, Keith
AU - Smith, Samuel C.L.
AU - Zammarchi, Irene
AU - Ferraz, Jose G.P.
AU - Fiorino, Gionata
AU - Kiesslich, Ralph
AU - Panaccione, Remo
AU - Parra-Blanco, Adolfo
AU - Principi, Mariabeatrice
AU - Tontini, Gian Eugenio
AU - Uraoka, Toshio
AU - Ghosh, Subrata
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Background and aims
Inflammatory bowel disease (IBD) increases risk of dysplasia and colorectal cancer. Advanced endoscopic techniques allow for the detection and characterization of IBD dysplastic lesions, but specialized training is not widely available. We aim to develop and validate an online training platform to improve the detection and characterization of colonic lesions in IBD: OPTIC-IBD.
Methods
We designed a web-based learning module that includes surveillance principles, optical diagnostic methods, approach to characterization, classifications of colonic lesions, utilizing still images and videos. We invited gastroenterologists from Canada, Italy, and the UK, with a wide range of experience. Participants reviewed 24 educational videos of IBD colonic lesions, predicted histology, and rated their confidence. The primary endpoint was to improve accuracy in detecting dysplastic lesions following training on the platform. Furthermore, participants were randomized 1:1 to get additional training or not, with a final assessment occurring after 60 days. Diagnostic performance for dysplasia and rater confidence were measured.
Results
One hundred seventeen participants completed the study and were assessed for the primary endpoint. Diagnostic accuracy improved from 70.8% to 75.0% (p 0.002) following training, with the greatest improvements seen in less experienced endoscopists. Improvements in both accuracy and confidence were sustained after 2 months of assessment, although the group randomized to receive additional training did not improve further. Similarly, participants’ confidence in characterizing lesions significantly improved between pre- and post-course (p
AB - Background and aims
Inflammatory bowel disease (IBD) increases risk of dysplasia and colorectal cancer. Advanced endoscopic techniques allow for the detection and characterization of IBD dysplastic lesions, but specialized training is not widely available. We aim to develop and validate an online training platform to improve the detection and characterization of colonic lesions in IBD: OPTIC-IBD.
Methods
We designed a web-based learning module that includes surveillance principles, optical diagnostic methods, approach to characterization, classifications of colonic lesions, utilizing still images and videos. We invited gastroenterologists from Canada, Italy, and the UK, with a wide range of experience. Participants reviewed 24 educational videos of IBD colonic lesions, predicted histology, and rated their confidence. The primary endpoint was to improve accuracy in detecting dysplastic lesions following training on the platform. Furthermore, participants were randomized 1:1 to get additional training or not, with a final assessment occurring after 60 days. Diagnostic performance for dysplasia and rater confidence were measured.
Results
One hundred seventeen participants completed the study and were assessed for the primary endpoint. Diagnostic accuracy improved from 70.8% to 75.0% (p 0.002) following training, with the greatest improvements seen in less experienced endoscopists. Improvements in both accuracy and confidence were sustained after 2 months of assessment, although the group randomized to receive additional training did not improve further. Similarly, participants’ confidence in characterizing lesions significantly improved between pre- and post-course (p
U2 - 10.1016/j.gie.2023.11.018
DO - 10.1016/j.gie.2023.11.018
M3 - Article
C2 - 37993058
SN - 0016-5107
VL - 99
SP - 756-766.e4
JO - Gastrointestinal Endoscopy
JF - Gastrointestinal Endoscopy
IS - 5
ER -
