Literature DB >> 22074640

Evaluations of capsule endoscopy software in reducing the reading time and the rate of false negatives by inexperienced endoscopists.

Naoki Hosoe1, Jean-François Rey, Hiroyuki Imaeda, Rieko Bessho, Riko Ichikawa, Yosuke Ida, Makoto Naganuma, Takanori Kanai, Toshifumi Hibi, Haruhiko Ogata.   

Abstract

BACKGROUND AND
OBJECTIVE: Capsule endoscopy (CE) is a comfortable for the patients; however, CE review is time-consuming. The aim of this study was (1) to evaluate the effectiveness of the CE software in reducing the CE reading time and the number of false negatives by beginners, and (2) to determine the learning curve for reading CE images.
METHODS: Capsule endoscopic images were captured by Pillcam SB (Given Imaging Ltd, Tokyo, Japan), and analyzed using the proprietary RAPID 5 software. Comparison of CE reading using different software modes: manual mode, automatic mode, and QuickView (QV) mode. Three trainee endoscopists participated as CE readers. Each participant watched CE videos in which positive findings had been predefined by trained endoscopists. Each participant read the same CE record by using one of three different software modes. These were blinded on clinical history of patients. CE reading time was recorded, and the number of false negatives was counted. Each trainee endoscopist read a total of 45 CE videos, in five steps divided into nine videos per step.
RESULTS: There was no significant reader associated difference between the results for the different modes. The QV software did miss some positive findings. Therefore, the total number of instances of FN by the software plus the reader in the QV mode was significantly higher than the others. The reading times in the automatic mode and the QV mode were significantly shorter than that in the manual mode. After the second step, the number of instances of false negatives significantly decreased.
CONCLUSIONS: CE software is useful for reducing the reading time. Experience of approximately 20 CE readings can be considered as the first step to becoming an expert.
Copyright © 2011 Elsevier Masson SAS. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 22074640     DOI: 10.1016/j.clinre.2011.09.009

Source DB:  PubMed          Journal:  Clin Res Hepatol Gastroenterol        ISSN: 2210-7401            Impact factor:   2.947


  11 in total

Review 1.  Small-bowel capsule endoscopy: a ten-point contemporary review.

Authors:  Anastasios Koulaouzidis; Emanuele Rondonotti; Alexandros Karargyris
Journal:  World J Gastroenterol       Date:  2013-06-28       Impact factor: 5.742

2.  A critical analysis of the effect of view mode and frame rate on reading time and lesion detection during capsule endoscopy.

Authors:  Masanao Nakamura; Alberto Murino; Aine O'Rourke; Chris Fraser
Journal:  Dig Dis Sci       Date:  2015-01-06       Impact factor: 3.199

3.  A rapid and accurate method to detect active small bowel gastrointestinal bleeding on video capsule endoscopy.

Authors:  Adam C Stein; Anoop Appannagari; Ibrahim Habib; Carol E Semrad; David T Rubin
Journal:  Dig Dis Sci       Date:  2014-08-22       Impact factor: 3.199

Review 4.  Capsule endoscopy of the small bowel.

Authors:  Mark E McAlindon; Hey-Long Ching; Diana Yung; Reena Sidhu; Anastasios Koulaouzidis
Journal:  Ann Transl Med       Date:  2016-10

5.  Automated evaluation of colon capsule endoscopic severity of ulcerative colitis using ResNet50.

Authors:  Naoki Higuchi; Hiroto Hiraga; Yoshihiro Sasaki; Noriko Hiraga; Shohei Igarashi; Keisuke Hasui; Kohei Ogasawara; Takato Maeda; Yasuhisa Murai; Tetsuya Tatsuta; Hidezumi Kikuchi; Daisuke Chinda; Tatsuya Mikami; Masashi Matsuzaka; Hirotake Sakuraba; Shinsaku Fukuda
Journal:  PLoS One       Date:  2022-06-10       Impact factor: 3.752

6.  Evaluation of Performance in Colon Capsule Endoscopy Reading by Endoscopy Nurses.

Authors:  Yukiko Handa; Konosuke Nakaji; Kayo Hyogo; Makiko Kawakami; Tomomi Yamamoto; Akiko Fujiwara; Rika Kanda; Motoyasu Osawa; Osamu Handa; Hiroshi Matsumoto; Eiji Umegaki; Akiko Shiotani
Journal:  Can J Gastroenterol Hepatol       Date:  2021-04-28

7.  New Generation Express View: An Artificial Intelligence Software Effectively Reduces Capsule Endoscopy Reading Times.

Authors:  Stefania Piccirelli; Alessandro Mussetto; Angelo Bellumat; Renato Cannizzaro; Marco Pennazio; Alessandro Pezzoli; Alessandra Bizzotto; Nadia Fusetti; Flavio Valiante; Cesare Hassan; Silvia Pecere; Anastasios Koulaouzidis; Cristiano Spada
Journal:  Diagnostics (Basel)       Date:  2022-07-22

8.  Evaluation of performance of the Omni mode for detecting video capsule endoscopy images: A multicenter randomized controlled trial.

Authors:  Naoki Hosoe; Kenji Watanabe; Takako Miyazaki; Masaaki Shimatani; Takahiro Wakamatsu; Kazuichi Okazaki; Motohiro Esaki; Takayuki Matsumoto; Takayuki Abe; Takanori Kanai; Kazuo Ohtsuka; Mamoru Watanabe; Keiichi Ikeda; Hisao Tajiri; Naoki Ohmiya; Masanao Nakamura; Hidemi Goto; Tomoyuki Tsujikawa; Haruhiko Ogata
Journal:  Endosc Int Open       Date:  2016-08-08

9.  Blue mode imaging may improve the detection and visualization of small-bowel lesions: A capsule endoscopy study.

Authors:  Usama M Abdelaal; Eijiro Morita; Sadaharu Nouda; Takanori Kuramoto; Katsuhiko Miyaji; Hideo Fukui; Yasuhiro Tsuda; Akira Fukuda; Mitsuyuki Murano; Satoshi Tokioka; Eiji Umegaki; Usama A Arfa; Kazuhide Higuchi
Journal:  Saudi J Gastroenterol       Date:  2015 Nov-Dec       Impact factor: 2.485

10.  Does the PillCam SB3 capsule endoscopy system improve image reading efficiency irrespective of experience? A pilot study.

Authors:  Teppei Omori; Toshifumi Hara; Sachiyo Sakasai; Harutaka Kambayashi; Shun Murasugi; Ayumi Ito; Shinichi Nakamura; Katsutoshi Tokushige
Journal:  Endosc Int Open       Date:  2018-05-25
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.