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A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology

OBJECTIVES: Eye tracking has been used in medical radiology to understand observers' gaze patterns during radiological diagnosis. This study examines the visual identification ability of junior hospital dental officers (JHDOs) and dental surgery assistants (DSAs) in radiographic and nonradiogra...

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Autores principales: Botelho, Michael G., Ekambaram, Manikandan, Bhuyan, Sangeeta Y., Yeung, Andy Wai Kan, Tanaka, Ray, Bornstein, Michael M., Li, Kar Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025973/
https://www.ncbi.nlm.nih.gov/pubmed/32067393
http://dx.doi.org/10.1002/cre2.249
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author Botelho, Michael G.
Ekambaram, Manikandan
Bhuyan, Sangeeta Y.
Yeung, Andy Wai Kan
Tanaka, Ray
Bornstein, Michael M.
Li, Kar Yan
author_facet Botelho, Michael G.
Ekambaram, Manikandan
Bhuyan, Sangeeta Y.
Yeung, Andy Wai Kan
Tanaka, Ray
Bornstein, Michael M.
Li, Kar Yan
author_sort Botelho, Michael G.
collection PubMed
description OBJECTIVES: Eye tracking has been used in medical radiology to understand observers' gaze patterns during radiological diagnosis. This study examines the visual identification ability of junior hospital dental officers (JHDOs) and dental surgery assistants (DSAs) in radiographic and nonradiographic images using eye tracking technology and examines if there is a correlation. MATERIAL AND METHODS: Nine JHDOs and nine DSAs examined six radiographic images and 16 nonradiographic images using eye tracking. The areas of interest (AOIs) of the radiographic images were rated as easy, medium, and hard, and the nonradiographic images were categorized as pattern recognition, face recognition, and image comparison. The participants were required to identify and locate the AOIs. Data analysis of the two domains, entire slide and AOI, was conducted by evaluating the eye tracking metrics (ETM) and the performance outcomes. ETM consisted of six parameters, and performance outcomes consisted of four parameters. RESULTS: No significant differences were observed for ETMs for JHDOs and DSAs for both radiographic and nonradiographic images. The JHDOs showed significantly higher percentage in identifying AOIs than DSAs for all the radiographic images (72.7% vs. 36.4%, p = .004) and for the easy categorization of radiographic AOIs (85.7% vs. 42.9%, p = .012). JHDOs with higher correct identification percentage in face recognition had a shorter dwell time in AOIs. CONCLUSIONS: Although no significant relation was observed between radiographic and nonradiographic images, there were some evidence that visual recognition skills may impact certain attributes of the visual search pattern in radiographic images.
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spelling pubmed-70259732020-03-06 A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology Botelho, Michael G. Ekambaram, Manikandan Bhuyan, Sangeeta Y. Yeung, Andy Wai Kan Tanaka, Ray Bornstein, Michael M. Li, Kar Yan Clin Exp Dent Res Original Articles OBJECTIVES: Eye tracking has been used in medical radiology to understand observers' gaze patterns during radiological diagnosis. This study examines the visual identification ability of junior hospital dental officers (JHDOs) and dental surgery assistants (DSAs) in radiographic and nonradiographic images using eye tracking technology and examines if there is a correlation. MATERIAL AND METHODS: Nine JHDOs and nine DSAs examined six radiographic images and 16 nonradiographic images using eye tracking. The areas of interest (AOIs) of the radiographic images were rated as easy, medium, and hard, and the nonradiographic images were categorized as pattern recognition, face recognition, and image comparison. The participants were required to identify and locate the AOIs. Data analysis of the two domains, entire slide and AOI, was conducted by evaluating the eye tracking metrics (ETM) and the performance outcomes. ETM consisted of six parameters, and performance outcomes consisted of four parameters. RESULTS: No significant differences were observed for ETMs for JHDOs and DSAs for both radiographic and nonradiographic images. The JHDOs showed significantly higher percentage in identifying AOIs than DSAs for all the radiographic images (72.7% vs. 36.4%, p = .004) and for the easy categorization of radiographic AOIs (85.7% vs. 42.9%, p = .012). JHDOs with higher correct identification percentage in face recognition had a shorter dwell time in AOIs. CONCLUSIONS: Although no significant relation was observed between radiographic and nonradiographic images, there were some evidence that visual recognition skills may impact certain attributes of the visual search pattern in radiographic images. John Wiley and Sons Inc. 2019-10-18 /pmc/articles/PMC7025973/ /pubmed/32067393 http://dx.doi.org/10.1002/cre2.249 Text en © 2019 The Authors. Clinical and Experimental Dental Research published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Botelho, Michael G.
Ekambaram, Manikandan
Bhuyan, Sangeeta Y.
Yeung, Andy Wai Kan
Tanaka, Ray
Bornstein, Michael M.
Li, Kar Yan
A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
title A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
title_full A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
title_fullStr A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
title_full_unstemmed A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
title_short A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
title_sort comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025973/
https://www.ncbi.nlm.nih.gov/pubmed/32067393
http://dx.doi.org/10.1002/cre2.249
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