Diogo Dias-Silva1, Pedro Pimentel-Nunes2, Joana Magalhães3, Ricardo Magalhães4, Nuno Veloso5, Carlos Ferreira6, Pedro Figueiredo7, Pedro Moutinho3, Mário Dinis-Ribeiro8. 1. Department of Information Sciences and Decision in Health (CIDES) and CINTESIS, Faculty of Medicine of Porto, Porto, Portugal. 2. Department of Gastroenterology of Oncology Portuguese Institute of Porto, Porto, Portugal; Department of Physiology and Cardiothoracic Surgery, Cardiovascular R&D Unit, Faculty of Medicine, University of Porto, Porto, Portugal. 3. Centro Hospitalar do Alto Ave, Porto, Portugal. 4. Centro Hospitalar do Porto, Porto, Portugal. 5. Department of Gastroenterology of Oncology Portuguese Institute of Porto, Porto, Portugal. 6. Centro Hospitalar de Lisboa, Lisbon, Portugal. 7. Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Department of Gastroenterology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal. 8. Department of Information Sciences and Decision in Health (CIDES) and CINTESIS, Faculty of Medicine of Porto, Porto, Portugal; Department of Gastroenterology of Oncology Portuguese Institute of Porto, Porto, Portugal.
Abstract
BACKGROUND: A simplified narrow-band imaging (NBI) endoscopy classification of gastric precancerous and cancerous lesions was derived and validated in a multicenter study. This classification comes with the need for dissemination through adequate training. OBJECTIVE: To address the learning curve of this classification by endoscopists with differing expertise and to assess the feasibility of a YouTube-based learning program to disseminate it. DESIGN: Prospective study. SETTING: Five centers. PARTICIPANTS: Six gastroenterologists (3 trainees, 3 fully trained endoscopists [FTs]). INTERVENTIONS: Twenty tests provided through a Web-based program containing 10 randomly ordered NBI videos of gastric mucosa were taken. Feedback was sent 7 days after every test submission. MAIN OUTCOME MEASUREMENTS: Measures of accuracy of the NBI classification throughout the time. RESULTS: From the first to the last 50 videos, a learning curve was observed with a 10% increase in global accuracy, for both trainees (from 64% to 74%) and FTs (from 56% to 65%). After 200 videos, sensitivity and specificity of 80% and higher for intestinal metaplasia were observed in half the participants, and a specificity for dysplasia greater than 95%, along with a relevant likelihood ratio for a positive result of 7 to 28 and likelihood ratio for a negative result of 0.21 to 0.82, were achieved by all of the participants. No constant learning curve was observed for the identification of Helicobacter pylori gastritis and sensitivity to dysplasia. The trainees had better results in all of the parameters, except specificity for dysplasia, compared with the FTs. Globally, participants agreed that the program's structure was adequate, except on the feedback, which should have consisted of a more detailed explanation of each answer. LIMITATIONS: No formal sample size estimate. CONCLUSION: A Web-based learning program could be used to teach and disseminate classifications in the endoscopy field. In this study, an NBI classification for gastric mucosal features seems to be easily learned for the identification of gastric preneoplastic lesions.
BACKGROUND: A simplified narrow-band imaging (NBI) endoscopy classification of gastric precancerous and cancerous lesions was derived and validated in a multicenter study. This classification comes with the need for dissemination through adequate training. OBJECTIVE: To address the learning curve of this classification by endoscopists with differing expertise and to assess the feasibility of a YouTube-based learning program to disseminate it. DESIGN: Prospective study. SETTING: Five centers. PARTICIPANTS: Six gastroenterologists (3 trainees, 3 fully trained endoscopists [FTs]). INTERVENTIONS: Twenty tests provided through a Web-based program containing 10 randomly ordered NBI videos of gastric mucosa were taken. Feedback was sent 7 days after every test submission. MAIN OUTCOME MEASUREMENTS: Measures of accuracy of the NBI classification throughout the time. RESULTS: From the first to the last 50 videos, a learning curve was observed with a 10% increase in global accuracy, for both trainees (from 64% to 74%) and FTs (from 56% to 65%). After 200 videos, sensitivity and specificity of 80% and higher for intestinal metaplasia were observed in half the participants, and a specificity for dysplasia greater than 95%, along with a relevant likelihood ratio for a positive result of 7 to 28 and likelihood ratio for a negative result of 0.21 to 0.82, were achieved by all of the participants. No constant learning curve was observed for the identification of Helicobacter pylorigastritis and sensitivity to dysplasia. The trainees had better results in all of the parameters, except specificity for dysplasia, compared with the FTs. Globally, participants agreed that the program's structure was adequate, except on the feedback, which should have consisted of a more detailed explanation of each answer. LIMITATIONS: No formal sample size estimate. CONCLUSION: A Web-based learning program could be used to teach and disseminate classifications in the endoscopy field. In this study, an NBI classification for gastric mucosal features seems to be easily learned for the identification of gastric preneoplastic lesions.
Authors: Wynanda Annefloor van Enst; Christiana A Naaktgeboren; Eleanor A Ochodo; Joris A H de Groot; Mariska M Leeflang; Johannes B Reitsma; Rob J P M Scholten; Karel G M Moons; Aeilko H Zwinderman; Patrick M M Bossuyt; Lotty Hooft Journal: Syst Rev Date: 2015-05-09