Literature DB >> 25028782

Tracking eye gaze during interpretation of endoluminal three-dimensional CT colonography: visual perception of experienced and inexperienced readers.

Susan Mallett1, Peter Phillips, Thomas R Fanshawe, Emma Helbren, Darren Boone, Alastair Gale, Stuart A Taylor, David Manning, Douglas G Altman, Steve Halligan.   

Abstract

PURPOSE: To identify and compare key stages of the visual process in experienced and inexperienced readers and to examine how these processes are used to search a moving three-dimensional ( 3D three-dimensional ) image and their relationship to false-negative errors.
MATERIALS AND METHODS: Institutional review board research ethics approval was granted to use anonymized computed tomographic (CT) colonographic data from previous studies and to obtain eye-tracking data from volunteers. Sixty-five radiologists (27 experienced, 38 inexperienced) interpreted 23 endoluminal 3D three-dimensional CT colonographic videos. Eye movements were recorded by using eye tracking with a desk-mounted tracker. Readers indicated when they saw a polyp by clicking a computer mouse. Polyp location and boundary on each video frame were quantified and gaze data were related to the polyp boundary for each individual reader and case. Predefined metrics were quantified and used to describe and compare visual search patterns between experienced and inexperienced readers by using multilevel modeling.
RESULTS: Time to first pursuit was significantly shorter in experienced readers (hazard ratio, 1.22 [95% confidence interval: 1.04, 1.44]; P = .017) but other metrics were not significantly different. Regardless of expertise, metrics such as assessment, identification period, and pursuit times were extended in videos where polyps were visible on screen for longer periods of time. In 97% (760 of 787) of observations, readers correctly pursued polyps.
CONCLUSION: Experienced readers had shorter time to first eye pursuit, but many other characteristics of eye tracking were similar between experienced and inexperienced readers. Readers pursued polyps in 97% of observations, which indicated that errors during interpretation of 3D three-dimensional CT colonography in this study occurred in either the discovery or the recognition phase, but rarely in the scanning phase of radiologic image inspection. © RSNA, 2014.

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Mesh:

Year:  2014        PMID: 25028782     DOI: 10.1148/radiol.14132896

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  13 in total

1.  Radiology resident MR and CT image analysis skill assessment using an interactive volumetric simulation tool - the RadioLOG project.

Authors:  Pedro Augusto Gondim Teixeira; Romain Cendre; Gabriela Hossu; Christophe Leplat; Jacques Felblinger; Alain Blum; Marc Braun
Journal:  Eur Radiol       Date:  2016-05-10       Impact factor: 5.315

Review 2.  Review of prospects and challenges of eye tracking in volumetric imaging.

Authors:  Antje C Venjakob; Claudia R Mello-Thoms
Journal:  J Med Imaging (Bellingham)       Date:  2015-09-29

3.  Does Expectation of Abnormality Affect the Search Pattern of Radiologists When Looking for Pulmonary Nodules?

Authors:  Stephen Littlefair; Patrick Brennan; Warren Reed; Claudia Mello-Thoms
Journal:  J Digit Imaging       Date:  2017-02       Impact factor: 4.056

Review 4.  A review of the PERFORMS scheme in breast screening.

Authors:  Alastair Gale; Yan Chen
Journal:  Br J Radiol       Date:  2020-06-12       Impact factor: 3.039

5.  Implementation and initial experience with an interactive eye-tracking system for measuring radiologists' visual search in diagnostic tasks using volumetric CT images.

Authors:  Hao Gong; Scott S Hsieh; David R Holmes; David A Cook; Akitoshi Inoue; David J Bartlett; Francis Baffour; Hiroaki Takahashi; Shuai Leng; Lifeng Yu; Joel G Fletcher; Cynthia H McCollough
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

6.  Visual Interpretation of Plain Radiographs in Orthopaedics Using Eye-Tracking Technology.

Authors:  Jessica Hanley; David Warren; Natalie Glass; Daniel Tranel; Matthew Karam; Joseph Buckwalter
Journal:  Iowa Orthop J       Date:  2017

7.  Training focal lung pathology detection using an eye movement modeling example.

Authors:  Stephanie Brams; Gal Ziv; Ignace Tc Hooge; Oron Levin; Johny Verschakelen; A Mark Williams; Johan Wagemans; Werner F Helsen
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-13

8.  A novel gaze-controlled flexible robotized endoscope; preliminary trial and report.

Authors:  Arun Sivananthan; Alexandros Kogkas; Ben Glover; Ara Darzi; George Mylonas; Nisha Patel
Journal:  Surg Endosc       Date:  2021-05-24       Impact factor: 4.584

9.  Increasing Navigation Speed at Endoluminal CT Colonography Reduces Colonic Visualization and Polyp Identification.

Authors:  Andrew A Plumb; Peter Phillips; Graeme Spence; Susan Mallett; Stuart A Taylor; Steve Halligan; Thomas Fanshawe
Journal:  Radiology       Date:  2017-03-10       Impact factor: 11.105

10.  Do prevalence expectations affect patterns of visual search and decision-making in interpreting CT colonography endoluminal videos?

Authors:  Thomas R Fanshawe; Peter Phillips; Andrew Plumb; Emma Helbren; Steve Halligan; Stuart A Taylor; Alastair Gale; Susan Mallett
Journal:  Br J Radiol       Date:  2016-02-23       Impact factor: 3.039

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