Literature DB >> 34016545

The impact of reader fatigue on the accuracy of capsule endoscopy interpretation.

Sabina Beg1, Tim Card2, Reena Sidhu3, Ewa Wronska4, Krish Ragunath5.   

Abstract

BACKGROUND AND AIMS: Capsule endoscopy (CE) interpretation requires the review of many thousands of images, with lesions often limited to just a few frames. In this study we aim to determine whether lesion detection declines according to the number of capsule videos read.
METHODS: 32 participants, 16 of which were novices (NR) and 16 experienced (ER) capsule readers took part in this prospective evaluation study. Participants read six capsule cases with a variety of lesions, in a randomly assigned order during a single sitting. Psychomotor Vigilance Tests and Fatigue Scores were recorded prior to commencing and then after every two capsules read. Changes in lesion detection and measures of fatigue were assessed across the duration of the study.
RESULTS: Mean agreement with the predefined lesions was 48.3% (SD:16.1), and 21.3% (SD:15.1) for the experienced and novice readers respectively. Lesion detection declined amongst experienced reader after the first study (p = 0.01), but remained stable after subsequent capsules read, while NR accuracy was unaffected by capsule numbers read. Objective measures of fatigue did not correlate with reading accuracy.
CONCLUSION: This study demonstrates that reader accuracy declines after reading just one capsule study. Subjective and objective measures of fatigue were not sufficient to predict the onset of the effects of fatigue. Crown
Copyright © 2021. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accuracy; Capsule endoscopy; Concentration; Fatigue

Mesh:

Year:  2021        PMID: 34016545     DOI: 10.1016/j.dld.2021.04.024

Source DB:  PubMed          Journal:  Dig Liver Dis        ISSN: 1590-8658            Impact factor:   4.088


  5 in total

1.  Real-life practice data on colon capsule endoscopy: We need them fast!

Authors:  Anastasios Koulaouzidis; Thomas Bjørsum; Ervin Toth
Journal:  Endosc Int Open       Date:  2022-03-14

2.  PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy.

Authors:  Romain Leenhardt; Ignacio Fernandez-Urien Sainz; Emanuele Rondonotti; Ervin Toth; Cedric Van de Bruaene; Peter Baltes; Bruno Joel Rosa; Konstantinos Triantafyllou; Aymeric Histace; Anastasios Koulaouzidis; Xavier Dray
Journal:  J Clin Med       Date:  2021-12-06       Impact factor: 4.241

Review 3.  Recent developments in small bowel endoscopy: the "black box" is now open!

Authors:  Luigina Vanessa Alemanni; Stefano Fabbri; Emanuele Rondonotti; Alessandro Mussetto
Journal:  Clin Endosc       Date:  2022-07-14

4.  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

5.  Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal Filtering.

Authors:  Geonhui Son; Taejoon Eo; Jiwoong An; Dong Jun Oh; Yejee Shin; Hyenogseop Rha; You Jin Kim; Yun Jeong Lim; Dosik Hwang
Journal:  Diagnostics (Basel)       Date:  2022-07-31
  5 in total

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