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The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze

Background  Multiple computer-aided systems for polyp detection (CADe) have been introduced into clinical practice, with an unclear effect on examiner behavior. This study aimed to measure the influence of a CADe system on reaction time, mucosa misinterpretation, and changes in visual gaze pattern....

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Autores principales: Troya, Joel, Fitting, Daniel, Brand, Markus, Sudarevic, Boban, Kather, Jakob Nikolas, Meining, Alexander, Hann, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500006/
https://www.ncbi.nlm.nih.gov/pubmed/35158384
http://dx.doi.org/10.1055/a-1770-7353
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author Troya, Joel
Fitting, Daniel
Brand, Markus
Sudarevic, Boban
Kather, Jakob Nikolas
Meining, Alexander
Hann, Alexander
author_facet Troya, Joel
Fitting, Daniel
Brand, Markus
Sudarevic, Boban
Kather, Jakob Nikolas
Meining, Alexander
Hann, Alexander
author_sort Troya, Joel
collection PubMed
description Background  Multiple computer-aided systems for polyp detection (CADe) have been introduced into clinical practice, with an unclear effect on examiner behavior. This study aimed to measure the influence of a CADe system on reaction time, mucosa misinterpretation, and changes in visual gaze pattern. Methods  Participants with variable levels of colonoscopy experience viewed video sequences (n = 29) while eye movement was tracked. Using a crossover design, videos were presented in two assessments, with and without CADe support. Reaction time for polyp detection and eye-tracking metrics were evaluated. Results  21 participants performed 1218 experiments. CADe was significantly faster in detecting polyps compared with participants (median 1.16 seconds [99 %CI 0.40–3.43] vs. 2.97 seconds [99 %CI 2.53–3.77], respectively). However, the reaction time of participants when using CADe (median 2.90 seconds [99 %CI 2.55–3.38]) was similar to that without CADe. CADe increased misinterpretation of normal mucosa and reduced the eye travel distance. Conclusions  Results confirm that CADe systems detect polyps faster than humans. However, use of CADe did not improve human reaction times. It increased misinterpretation of normal mucosa and decreased the eye travel distance. Possible consequences of these findings might be prolonged examination time and deskilling.
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spelling pubmed-95000062022-09-24 The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze Troya, Joel Fitting, Daniel Brand, Markus Sudarevic, Boban Kather, Jakob Nikolas Meining, Alexander Hann, Alexander Endoscopy Background  Multiple computer-aided systems for polyp detection (CADe) have been introduced into clinical practice, with an unclear effect on examiner behavior. This study aimed to measure the influence of a CADe system on reaction time, mucosa misinterpretation, and changes in visual gaze pattern. Methods  Participants with variable levels of colonoscopy experience viewed video sequences (n = 29) while eye movement was tracked. Using a crossover design, videos were presented in two assessments, with and without CADe support. Reaction time for polyp detection and eye-tracking metrics were evaluated. Results  21 participants performed 1218 experiments. CADe was significantly faster in detecting polyps compared with participants (median 1.16 seconds [99 %CI 0.40–3.43] vs. 2.97 seconds [99 %CI 2.53–3.77], respectively). However, the reaction time of participants when using CADe (median 2.90 seconds [99 %CI 2.55–3.38]) was similar to that without CADe. CADe increased misinterpretation of normal mucosa and reduced the eye travel distance. Conclusions  Results confirm that CADe systems detect polyps faster than humans. However, use of CADe did not improve human reaction times. It increased misinterpretation of normal mucosa and decreased the eye travel distance. Possible consequences of these findings might be prolonged examination time and deskilling. Georg Thieme Verlag KG 2022-03-31 /pmc/articles/PMC9500006/ /pubmed/35158384 http://dx.doi.org/10.1055/a-1770-7353 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Troya, Joel
Fitting, Daniel
Brand, Markus
Sudarevic, Boban
Kather, Jakob Nikolas
Meining, Alexander
Hann, Alexander
The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
title The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
title_full The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
title_fullStr The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
title_full_unstemmed The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
title_short The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
title_sort influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500006/
https://www.ncbi.nlm.nih.gov/pubmed/35158384
http://dx.doi.org/10.1055/a-1770-7353
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