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CC BY-NC-ND 4.0 · Endoscopy 2022; 54(10): 1009-1014
DOI: 10.1055/a-1770-7353
Innovations and brief communications

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

Joel Troya  ‡   *
1   Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
,
Daniel Fitting‡   *
1   Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
,
Markus Brand 
1   Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
,
Boban Sudarevic
1   Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
,
Jakob Nikolas Kather
2   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
,
Alexander Meining
1   Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
,
Alexander Hann 
1   Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
› Author AffiliationsSupported by: Bavarian Center for Cancer Research (BZKF)
Supported by: Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg F-406
Supported by: Funding cluster “Forum Gesundheitsstandort Baden-Württemberg” 5409.0-001.01/15
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Referred to by:

Targeting the low detector with artificial intelligenceEndoscopy 2022; 54(10): 1015-1016
DOI: 10.1055/a-1819-6568

Referred to by:

Author commentary on Joel Troya et al.Endoscopy 2022; 54(10): v35-v35
DOI: 10.1055/a-1790-9690

Abstract

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.

* These authors contributed equally to this work.


Tables 1 s, 2 s; Figs. 1 s–4 s



Publication History

Received: 19 September 2021

Accepted: 10 February 2022

Accepted Manuscript online:
14 February 2022

Article published online:
31 March 2022

© 2022. 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/)

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