Literature DB >> 31034809

Analysis of factors related to poor outcome after e-learning training in endoscopic diagnosis of early gastric cancer using magnifying narrow-band imaging.

Hisatomo Ikehara1, Hisashi Doyama2, Hiroyoshi Nakanishi2, Waku Hatta3, Takuji Gotoda1, Hideki Ishikawa4, Kenshi Yao5.   

Abstract

BACKGROUND AND AIMS: An e-learning system teaching endoscopic diagnostic process for early gastric cancer using magnifying endoscopy with narrow-band imaging (M-NBI) was established, and its efficacy in improving the diagnostic performance for early gastric cancer was proven in a multicenter randomized controlled trial. The aim of this study was to clarify the difference in learning effect in each lesion characteristic.
METHODS: Three hundred sixty-five participants diagnosed 40 gastric lesions based on M-NBI findings using the vessel-plus-surface classification system. The diagnosis data collected from each participant were assessed in this study. The accuracy of NBI cancer diagnosis was assessed using area under the receiver operating characteristics curve (AUC/ROC) analysis. AUC/ROCs were separately calculated in each lesion characteristic (shape and size), and the data were compared between tests 1 and 3.
RESULTS: Continuous net reclassification improvement (cNRI) analysis of all lesions revealed significant improvement in reclassification when participants underwent e-learning (cNRI, 1.17; P < .01). The integrated discrimination improvement analysis demonstrated that the e-learning system improved diagnostic ability (.19; P < .01). According to the analysis depending on the lesion's characteristics, high AUC/ROCs were demonstrated in depressed and small lesions (<10 mm; .90 and .93, respectively). The cNRI analysis showed remarkable e-learning improvement in both depressed (cNRI, 1.33; P < .01) and small lesions (cNRI, 1.46; P < .01). However, no significant e-learning improvement was observed in elevated or flat lesions.
CONCLUSIONS: In M-NBI education for endoscopists, a good learning outcome was obtained in depressed and small lesions, but a poor learning outcome was demonstrated in elevated and flat lesions. (Clinical trial registration number: UMIN000008569.).
Copyright © 2019. Published by Elsevier Inc.

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Year:  2019        PMID: 31034809     DOI: 10.1016/j.gie.2019.04.230

Source DB:  PubMed          Journal:  Gastrointest Endosc        ISSN: 0016-5107            Impact factor:   9.427


  3 in total

1.  Magnifying endoscopy with narrow-band imaging is useful in differentiating gastric cancer from matched adenoma in white light imaging.

Authors:  Naoki Tamura; Yoshiki Sakaguchi; Wakiko Furutani; Maki Matsui; Sayaka Nagao; Nobuyuki Sakuma; Kazushi Fukagawa; Yuko Miura; Hiroya Mizutani; Daisuke Ohki; Yosuke Kataoka; Itaru Saito; Masayoshi Ono; Chihiro Minatsuki; Yosuke Tsuji; Satoshi Ono; Shinya Kodashima; Hiroyuki Abe; Tetsuo Ushiku; Nobutake Yamamichi; Kazuhiko Koike; Mitsuhiro Fujishiro
Journal:  Sci Rep       Date:  2022-05-19       Impact factor: 4.996

Review 2.  The Effectiveness of mHealth and eHealth Tools in Improving Provider Knowledge, Confidence, and Behaviors Related to Cancer Detection, Treatment, and Survivorship Care: a Systematic Review.

Authors:  Cindy Soloe; Olivia Burrus; Sujha Subramanian
Journal:  J Cancer Educ       Date:  2021-02-18       Impact factor: 1.771

Review 3.  Image-Enhanced Endoscopy and Its Corresponding Histopathology in the Stomach.

Authors:  Hisashi Doyama; Hiroyoshi Nakanishi; Kenshi Yao
Journal:  Gut Liver       Date:  2021-05-15       Impact factor: 4.519

  3 in total

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