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

Hiroyoshi Nakanishi, Hisashi Doyama, Hideki Ishikawa, Noriya Uedo, Takuji Gotoda, Mototsugu Kato, Shigeaki Nagao, Yasuaki Nagami, Hiroyuki Aoyagi, Atsushi Imagawa, Junichi Kodaira, Shinya Mitsui, Nozomu Kobayashi, Manabu Muto, Hajime Takatori, Takashi Abe, Masahiko Tsujii, Jiro Watari, Shuhei Ishiyama, Ichiro OdaHiroyuki Ono, Kazuhiro Kaneko, Chizu Yokoi, Tetsuya Ueo, Kunihisa Uchita, Kenshi Matsumoto, Takashi Kanesaka, Yoshinori Morita, Shinichi Katsuki, Jun Nishikawa, Katsuhisa Inamura, Tetsu Kinjo, Katsumi Yamamoto, Daisuke Yoshimura, Hiroshi Araki, Hiroshi Kashida, Ayumu Hosokawa, Hirohito Mori, Haruhiro Yamashita, Osamu Motohashi, Kazuhiko Kobayashi, Michiaki Hirayama, Hiroyuki Kobayashi, Masaki Endo, Hiroo Yamano, Kazunari Murakami, Tomoyuki Koike, Kingo Hirasawa, Youichi Miyaoka, Hidetaka Hamamoto, Takuto Hikichi, Norihiro Hanabata, Ryo Shimoda, Shinichiro Hori, Tadashi Sato, Shinya Kodashima, Hiroyuki Okada, Tomohiko Mannami, Shojiro Yamamoto, Yasumasa Niwa, Kazuo Yashima, Satoshi Tanabe, Hiro Satoh, Fumisato Sasaki, Tetsuro Yamazato, Yoshiou Ikeda, Hogara Nishisaki, Masahiro Nakagawa, Akio Matsuda, Fumio Tamura, Hitoshi Nishiyama, Keiko Arita, Keisuke Kawasaki, Kazushige Hoppo, Masashi Oka, Shinichi Ishihara, Michita Mukasa, Hiroaki Minamino, Kenshi Yao

Research output: Contribution to journalArticle

7 Citations (Scopus)

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).

Original languageEnglish
JournalEndoscopy
DOIs
Publication statusAccepted/In press - May 1 2017

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Narrow Band Imaging
Stomach
Learning
Stomach Neoplasms

ASJC Scopus subject areas

  • Gastroenterology

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Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging : a multicenter randomized controlled study. / Nakanishi, Hiroyoshi; Doyama, Hisashi; Ishikawa, Hideki; Uedo, Noriya; Gotoda, Takuji; Kato, Mototsugu; Nagao, Shigeaki; Nagami, Yasuaki; Aoyagi, Hiroyuki; Imagawa, Atsushi; Kodaira, Junichi; Mitsui, Shinya; Kobayashi, Nozomu; Muto, Manabu; Takatori, Hajime; Abe, Takashi; Tsujii, Masahiko; Watari, Jiro; Ishiyama, Shuhei; Oda, Ichiro; Ono, Hiroyuki; Kaneko, Kazuhiro; Yokoi, Chizu; Ueo, Tetsuya; Uchita, Kunihisa; Matsumoto, Kenshi; Kanesaka, Takashi; Morita, Yoshinori; Katsuki, Shinichi; Nishikawa, Jun; Inamura, Katsuhisa; Kinjo, Tetsu; Yamamoto, Katsumi; Yoshimura, Daisuke; Araki, Hiroshi; Kashida, Hiroshi; Hosokawa, Ayumu; Mori, Hirohito; Yamashita, Haruhiro; Motohashi, Osamu; Kobayashi, Kazuhiko; Hirayama, Michiaki; Kobayashi, Hiroyuki; Endo, Masaki; Yamano, Hiroo; Murakami, Kazunari; Koike, Tomoyuki; Hirasawa, Kingo; Miyaoka, Youichi; Hamamoto, Hidetaka; Hikichi, Takuto; Hanabata, Norihiro; Shimoda, Ryo; Hori, Shinichiro; Sato, Tadashi; Kodashima, Shinya; Okada, Hiroyuki; Mannami, Tomohiko; Yamamoto, Shojiro; Niwa, Yasumasa; Yashima, Kazuo; Tanabe, Satoshi; Satoh, Hiro; Sasaki, Fumisato; Yamazato, Tetsuro; Ikeda, Yoshiou; Nishisaki, Hogara; Nakagawa, Masahiro; Matsuda, Akio; Tamura, Fumio; Nishiyama, Hitoshi; Arita, Keiko; Kawasaki, Keisuke; Hoppo, Kazushige; Oka, Masashi; Ishihara, Shinichi; Mukasa, Michita; Minamino, Hiroaki; Yao, Kenshi.

In: Endoscopy, 01.05.2017.

Research output: Contribution to journalArticle

Nakanishi, H, Doyama, H, Ishikawa, H, Uedo, N, Gotoda, T, Kato, M, Nagao, S, Nagami, Y, Aoyagi, H, Imagawa, A, Kodaira, J, Mitsui, S, Kobayashi, N, Muto, M, Takatori, H, Abe, T, Tsujii, M, Watari, J, Ishiyama, S, Oda, I, Ono, H, Kaneko, K, Yokoi, C, Ueo, T, Uchita, K, Matsumoto, K, Kanesaka, T, Morita, Y, Katsuki, S, Nishikawa, J, Inamura, K, Kinjo, T, Yamamoto, K, Yoshimura, D, Araki, H, Kashida, H, Hosokawa, A, Mori, H, Yamashita, H, Motohashi, O, Kobayashi, K, Hirayama, M, Kobayashi, H, Endo, M, Yamano, H, Murakami, K, Koike, T, Hirasawa, K, Miyaoka, Y, Hamamoto, H, Hikichi, T, Hanabata, N, Shimoda, R, Hori, S, Sato, T, Kodashima, S, Okada, H, Mannami, T, Yamamoto, S, Niwa, Y, Yashima, K, Tanabe, S, Satoh, H, Sasaki, F, Yamazato, T, Ikeda, Y, Nishisaki, H, Nakagawa, M, Matsuda, A, Tamura, F, Nishiyama, H, Arita, K, Kawasaki, K, Hoppo, K, Oka, M, Ishihara, S, Mukasa, M, Minamino, H & Yao, K 2017, 'Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging: a multicenter randomized controlled study', Endoscopy. https://doi.org/10.1055/s-0043-111888
Nakanishi, Hiroyoshi ; Doyama, Hisashi ; Ishikawa, Hideki ; Uedo, Noriya ; Gotoda, Takuji ; Kato, Mototsugu ; Nagao, Shigeaki ; Nagami, Yasuaki ; Aoyagi, Hiroyuki ; Imagawa, Atsushi ; Kodaira, Junichi ; Mitsui, Shinya ; Kobayashi, Nozomu ; Muto, Manabu ; Takatori, Hajime ; Abe, Takashi ; Tsujii, Masahiko ; Watari, Jiro ; Ishiyama, Shuhei ; Oda, Ichiro ; Ono, Hiroyuki ; Kaneko, Kazuhiro ; Yokoi, Chizu ; Ueo, Tetsuya ; Uchita, Kunihisa ; Matsumoto, Kenshi ; Kanesaka, Takashi ; Morita, Yoshinori ; Katsuki, Shinichi ; Nishikawa, Jun ; Inamura, Katsuhisa ; Kinjo, Tetsu ; Yamamoto, Katsumi ; Yoshimura, Daisuke ; Araki, Hiroshi ; Kashida, Hiroshi ; Hosokawa, Ayumu ; Mori, Hirohito ; Yamashita, Haruhiro ; Motohashi, Osamu ; Kobayashi, Kazuhiko ; Hirayama, Michiaki ; Kobayashi, Hiroyuki ; Endo, Masaki ; Yamano, Hiroo ; Murakami, Kazunari ; Koike, Tomoyuki ; Hirasawa, Kingo ; Miyaoka, Youichi ; Hamamoto, Hidetaka ; Hikichi, Takuto ; Hanabata, Norihiro ; Shimoda, Ryo ; Hori, Shinichiro ; Sato, Tadashi ; Kodashima, Shinya ; Okada, Hiroyuki ; Mannami, Tomohiko ; Yamamoto, Shojiro ; Niwa, Yasumasa ; Yashima, Kazuo ; Tanabe, Satoshi ; Satoh, Hiro ; Sasaki, Fumisato ; Yamazato, Tetsuro ; Ikeda, Yoshiou ; Nishisaki, Hogara ; Nakagawa, Masahiro ; Matsuda, Akio ; Tamura, Fumio ; Nishiyama, Hitoshi ; Arita, Keiko ; Kawasaki, Keisuke ; Hoppo, Kazushige ; Oka, Masashi ; Ishihara, Shinichi ; Mukasa, Michita ; Minamino, Hiroaki ; Yao, Kenshi. / Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging : a multicenter randomized controlled study. In: Endoscopy. 2017.
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title = "Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging: a multicenter randomized controlled study",
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).",
author = "Hiroyoshi Nakanishi and Hisashi Doyama and Hideki Ishikawa and Noriya Uedo and Takuji Gotoda and Mototsugu Kato and Shigeaki Nagao and Yasuaki Nagami and Hiroyuki Aoyagi and Atsushi Imagawa and Junichi Kodaira and Shinya Mitsui and Nozomu Kobayashi and Manabu Muto and Hajime Takatori and Takashi Abe and Masahiko Tsujii and Jiro Watari and Shuhei Ishiyama and Ichiro Oda and Hiroyuki Ono and Kazuhiro Kaneko and Chizu Yokoi and Tetsuya Ueo and Kunihisa Uchita and Kenshi Matsumoto and Takashi Kanesaka and Yoshinori Morita and Shinichi Katsuki and Jun Nishikawa and Katsuhisa Inamura and Tetsu Kinjo and Katsumi Yamamoto and Daisuke Yoshimura and Hiroshi Araki and Hiroshi Kashida and Ayumu Hosokawa and Hirohito Mori and Haruhiro Yamashita and Osamu Motohashi and Kazuhiko Kobayashi and Michiaki Hirayama and Hiroyuki Kobayashi and Masaki Endo and Hiroo Yamano and Kazunari Murakami and Tomoyuki Koike and Kingo Hirasawa and Youichi Miyaoka and Hidetaka Hamamoto and Takuto Hikichi and Norihiro Hanabata and Ryo Shimoda and Shinichiro Hori and Tadashi Sato and Shinya Kodashima and Hiroyuki Okada and Tomohiko Mannami and Shojiro Yamamoto and Yasumasa Niwa and Kazuo Yashima and Satoshi Tanabe and Hiro Satoh and Fumisato Sasaki and Tetsuro Yamazato and Yoshiou Ikeda and Hogara Nishisaki and Masahiro Nakagawa and Akio Matsuda and Fumio Tamura and Hitoshi Nishiyama and Keiko Arita and Keisuke Kawasaki and Kazushige Hoppo and Masashi Oka and Shinichi Ishihara and Michita Mukasa and Hiroaki Minamino and Kenshi Yao",
year = "2017",
month = "5",
day = "1",
doi = "10.1055/s-0043-111888",
language = "English",
journal = "Endoscopy",
issn = "0013-726X",
publisher = "Georg Thieme Verlag",

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TY - JOUR

T1 - Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging

T2 - a multicenter randomized controlled study

AU - Nakanishi, Hiroyoshi

AU - Doyama, Hisashi

AU - Ishikawa, Hideki

AU - Uedo, Noriya

AU - Gotoda, Takuji

AU - Kato, Mototsugu

AU - Nagao, Shigeaki

AU - Nagami, Yasuaki

AU - Aoyagi, Hiroyuki

AU - Imagawa, Atsushi

AU - Kodaira, Junichi

AU - Mitsui, Shinya

AU - Kobayashi, Nozomu

AU - Muto, Manabu

AU - Takatori, Hajime

AU - Abe, Takashi

AU - Tsujii, Masahiko

AU - Watari, Jiro

AU - Ishiyama, Shuhei

AU - Oda, Ichiro

AU - Ono, Hiroyuki

AU - Kaneko, Kazuhiro

AU - Yokoi, Chizu

AU - Ueo, Tetsuya

AU - Uchita, Kunihisa

AU - Matsumoto, Kenshi

AU - Kanesaka, Takashi

AU - Morita, Yoshinori

AU - Katsuki, Shinichi

AU - Nishikawa, Jun

AU - Inamura, Katsuhisa

AU - Kinjo, Tetsu

AU - Yamamoto, Katsumi

AU - Yoshimura, Daisuke

AU - Araki, Hiroshi

AU - Kashida, Hiroshi

AU - Hosokawa, Ayumu

AU - Mori, Hirohito

AU - Yamashita, Haruhiro

AU - Motohashi, Osamu

AU - Kobayashi, Kazuhiko

AU - Hirayama, Michiaki

AU - Kobayashi, Hiroyuki

AU - Endo, Masaki

AU - Yamano, Hiroo

AU - Murakami, Kazunari

AU - Koike, Tomoyuki

AU - Hirasawa, Kingo

AU - Miyaoka, Youichi

AU - Hamamoto, Hidetaka

AU - Hikichi, Takuto

AU - Hanabata, Norihiro

AU - Shimoda, Ryo

AU - Hori, Shinichiro

AU - Sato, Tadashi

AU - Kodashima, Shinya

AU - Okada, Hiroyuki

AU - Mannami, Tomohiko

AU - Yamamoto, Shojiro

AU - Niwa, Yasumasa

AU - Yashima, Kazuo

AU - Tanabe, Satoshi

AU - Satoh, Hiro

AU - Sasaki, Fumisato

AU - Yamazato, Tetsuro

AU - Ikeda, Yoshiou

AU - Nishisaki, Hogara

AU - Nakagawa, Masahiro

AU - Matsuda, Akio

AU - Tamura, Fumio

AU - Nishiyama, Hitoshi

AU - Arita, Keiko

AU - Kawasaki, Keisuke

AU - Hoppo, Kazushige

AU - Oka, Masashi

AU - Ishihara, Shinichi

AU - Mukasa, Michita

AU - Minamino, Hiroaki

AU - Yao, Kenshi

PY - 2017/5/1

Y1 - 2017/5/1

N2 - 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).

AB - 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).

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JF - Endoscopy

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