Literature DB >> 28637065

Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging: a multicenter randomized controlled study.

Hiroyoshi Nakanishi1, Hisashi Doyama1, Hideki Ishikawa2, Noriya Uedo3, Takuji Gotoda4, Mototsugu Kato5, Shigeaki Nagao6, Yasuaki Nagami7, Hiroyuki Aoyagi8, Atsushi Imagawa9, Junichi Kodaira10, Shinya Mitsui11, Nozomu Kobayashi12, Manabu Muto13, Hajime Takatori14, Takashi Abe15, Masahiko Tsujii16, Jiro Watari17, Shuhei Ishiyama18, Ichiro Oda19, Hiroyuki Ono20, Kazuhiro Kaneko21, Chizu Yokoi22, Tetsuya Ueo23, Kunihisa Uchita24, Kenshi Matsumoto25, Takashi Kanesaka26, Yoshinori Morita27, Shinichi Katsuki28, Jun Nishikawa29, Katsuhisa Inamura30, Tetsu Kinjo31, Katsumi Yamamoto32, Daisuke Yoshimura33, Hiroshi Araki34, Hiroshi Kashida35, Ayumu Hosokawa36, Hirohito Mori37, Haruhiro Yamashita38, Osamu Motohashi39, Kazuhiko Kobayashi40, Michiaki Hirayama41, Hiroyuki Kobayashi42, Masaki Endo43, Hiroo Yamano44, Kazunari Murakami45, Tomoyuki Koike46, Kingo Hirasawa47, Youichi Miyaoka48, Hidetaka Hamamoto49, Takuto Hikichi50, Norihiro Hanabata51, Ryo Shimoda52, Shinichiro Hori53, Tadashi Sato54, Shinya Kodashima55, Hiroyuki Okada56, Tomohiko Mannami57, Shojiro Yamamoto58, Yasumasa Niwa59, Kazuo Yashima60, Satoshi Tanabe61, Hiro Satoh62, Fumisato Sasaki63, Tetsuro Yamazato64, Yoshiou Ikeda65, Hogara Nishisaki66, Masahiro Nakagawa67, Akio Matsuda68, Fumio Tamura69, Hitoshi Nishiyama70, Keiko Arita71, Keisuke Kawasaki72, Kazushige Hoppo73, Masashi Oka74, Shinichi Ishihara75, Michita Mukasa76, Hiroaki Minamino77, Kenshi Yao78.   

Abstract

Background and study aim Magnifying narrow-band imaging (M-NBI) is useful for the accurate diagnosis of early gastric cancer (EGC). However, acquiring skill at M-NBI diagnosis takes substantial effort. An Internet-based e-learning system to teach endoscopic diagnosis of EGC using M-NBI has been developed. This study evaluated its effectiveness. Participants and methods This study was designed as a multicenter randomized controlled trial. We recruited endoscopists as participants from all over Japan. After completing Test 1, which consisted of M-NBI images of 40 gastric lesions, participants were randomly assigned to the e-learning or non-e-learning groups. Only the e-learning group was allowed to access the e-learning system. After the e-learning period, both groups received Test 2. The analysis set was participants who scored < 80 % accuracy on Test 1. The primary end point was the difference in accuracy between Test 1 and Test 2 for the two groups. Results A total of 395 participants from 77 institutions completed Test 1 (198 in the e-learning group and 197 in the non-e-learning group). After the e-learning period, all 395 completed Test 2. The analysis sets were e-learning group: n = 184; and non-e-learning group: n = 184. The mean Test 1 score was 59.9 % for the e-learning group and 61.7 % for the non-e-learning group. The change in accuracy in Test 2 was significantly higher in the e-learning group than in the non-e-learning group (7.4 points vs. 0.14 points, respectively; P < 0.001). Conclusion This study clearly demonstrated the efficacy of the e-learning system in improving practitioners' capabilities to diagnose EGC using M-NBI.Trial registered at University Hospital Medical Information Network Clinical Trials Registry (UMIN000008569). © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2017        PMID: 28637065     DOI: 10.1055/s-0043-111888

Source DB:  PubMed          Journal:  Endoscopy        ISSN: 0013-726X            Impact factor:   10.093


  14 in total

Review 1.  Training in Endoscopy.

Authors:  Keith Siau; Neil D Hawkes; Paul Dunckley
Journal:  Curr Treat Options Gastroenterol       Date:  2018-09

2.  British Society of Gastroenterology guidelines on the diagnosis and management of patients at risk of gastric adenocarcinoma.

Authors:  Matthew Banks; David Graham; Marnix Jansen; Takuji Gotoda; Sergio Coda; Massimiliano di Pietro; Noriya Uedo; Pradeep Bhandari; D Mark Pritchard; Ernst J Kuipers; Manuel Rodriguez-Justo; Marco R Novelli; Krish Ragunath; Neil Shepherd; Mario Dinis-Ribeiro
Journal:  Gut       Date:  2019-07-05       Impact factor: 23.059

3.  Evaluation of Microvascular Patterns Alone Using Endocytoscopy with Narrow-Band Imaging for Diagnosing Gastric Cancer.

Authors:  Yusuke Horiuchi; Toshiaki Hirasawa; Naoki Ishizuka; Junki Tokura; Mitsuaki Ishioka; Yoshitaka Tokai; Ken Namikawa; Shoichi Yoshimizu; Akiyoshi Ishiyama; Toshiyuki Yoshio; Junko Fujisaki
Journal:  Digestion       Date:  2021-12-01       Impact factor: 3.216

4.  Application of Endoscopic Ultrasound Combined with Multislice Spiral CT in Diagnosis and Treatment of Patients with Gastrointestinal Eminence Lesions.

Authors:  Jie Xiong; Jie Jiang; Ying Chen; Ye Chen; Chenyi Xie; Shuchang Xu
Journal:  Dis Markers       Date:  2022-06-29       Impact factor: 3.464

5.  Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.

Authors:  Yusuke Horiuchi; Kazuharu Aoyama; Yoshitaka Tokai; Toshiaki Hirasawa; Shoichi Yoshimizu; Akiyoshi Ishiyama; Toshiyuki Yoshio; Tomohiro Tsuchida; Junko Fujisaki; Tomohiro Tada
Journal:  Dig Dis Sci       Date:  2019-10-04       Impact factor: 3.199

6.  e-Learning for Instruction and to Improve Reproducibility of Scoring Tumor-Stroma Ratio in Colon Carcinoma: Performance and Reproducibility Assessment in the UNITED Study.

Authors:  Marloes A Smit; Gabi W van Pelt; Elisabeth Mc Dequeker; Raed Al Dieri; Rob Aem Tollenaar; J Han Jm van Krieken; Wilma E Mesker
Journal:  JMIR Form Res       Date:  2021-03-19

Review 7.  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

Review 8.  Artificial intelligence in gastric cancer: Application and future perspectives.

Authors:  Peng-Hui Niu; Lu-Lu Zhao; Hong-Liang Wu; Dong-Bing Zhao; Ying-Tai Chen
Journal:  World J Gastroenterol       Date:  2020-09-28       Impact factor: 5.742

9.  Dynamic diagnosis of early gastric cancer with microvascular blood flow rate using magnifying endoscopy (with video): A pilot study.

Authors:  Hiroya Ueyama; Noboru Yatagai; Atsushi Ikeda; Yoichi Akazawa; Hiroyuki Komori; Tsutomu Takeda; Kohei Matsumoto; Kumiko Ueda; Kenshi Matsumoto; Daisuke Asaoka; Mariko Hojo; Takashi Yao; Akihito Nagahara
Journal:  J Gastroenterol Hepatol       Date:  2021-02-22       Impact factor: 4.029

10.  Perception of E-Resources on the Learning Process among Students in the College of Health Sciences in King Saud University, Saudi Arabia, during the (COVID-19) Outbreak.

Authors:  Reham AlJasser; Lina Alolyet; Daniyah Alsuhaibani; Sarah Albalawi; Md Dilshad Manzar; Abdulrhman Albougami
Journal:  Healthcare (Basel)       Date:  2021-12-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.