Literature DB >> 34277889

Characteristics of expert search behavior in volumetric medical image interpretation.

Lauren H Williams1, Ann J Carrigan2,3,4, Megan Mills5, William F Auffermann5, Anina N Rich3,4,6, Trafton Drew7.   

Abstract

Purpose: Experienced radiologists have enhanced global processing ability relative to novices, allowing experts to rapidly detect medical abnormalities without performing an exhaustive search. However, evidence for global processing models is primarily limited to two-dimensional image interpretation, and it is unclear whether these findings generalize to volumetric images, which are widely used in clinical practice. We examined whether radiologists searching volumetric images use methods consistent with global processing models of expertise. In addition, we investigated whether search strategy (scanning/drilling) differs with experience level. Approach: Fifty radiologists with a wide range of experience evaluated chest computed-tomography scans for lung nodules while their eye movements and scrolling behaviors were tracked. Multiple linear regressions were used to determine: (1) how search behaviors differed with years of experience and the number of chest CTs evaluated per week and (2) which search behaviors predicted better performance.
Results: Contrary to global processing models based on 2D images, experience was unrelated to measures of global processing (saccadic amplitude, coverage, time to first fixation, search time, and depth passes) in this task. Drilling behavior was associated with better accuracy than scanning behavior when controlling for observer experience. Greater image coverage was a strong predictor of task accuracy. Conclusions: Global processing ability may play a relatively small role in volumetric image interpretation, where global scene statistics are not available to radiologists in a single glance. Rather, in volumetric images, it may be more important to engage in search strategies that support a more thorough search of the image.
© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  expertise; gist processing; lung cancer detection; medical image perception; scanners and drillers

Year:  2021        PMID: 34277889      PMCID: PMC8279070          DOI: 10.1117/1.JMI.8.4.041208

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  63 in total

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4.  Scanners and drillers: characterizing expert visual search through volumetric images.

Authors:  Trafton Drew; Melissa Le-Hoa Vo; Alex Olwal; Francine Jacobson; Steven E Seltzer; Jeremy M Wolfe
Journal:  J Vis       Date:  2013-08-06       Impact factor: 2.240

5.  The Effect of Teaching Search Strategies on Perceptual Performance.

Authors:  Anouk van der Gijp; Koen L Vincken; Christy Boscardin; Emily M Webb; Olle Th J Ten Cate; David M Naeger
Journal:  Acad Radiol       Date:  2017-02-24       Impact factor: 3.173

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Authors:  Hayward J Godwin; Valerie Benson; Denis Drieghe
Journal:  J Exp Psychol Hum Percept Perform       Date:  2013-03-25       Impact factor: 3.332

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Authors:  Michelle R Greene; Aude Oliva
Journal:  Cogn Psychol       Date:  2008-08-30       Impact factor: 3.468

8.  Effect of radiologists' experience on breast cancer detection and localization using digital breast tomosynthesis.

Authors:  Maram M Alakhras; Patrick C Brennan; Mary Rickard; Roger Bourne; Claudia Mello-Thoms
Journal:  Eur Radiol       Date:  2014-09-06       Impact factor: 5.315

9.  What Am I Looking at? Interpreting Dynamic and Static Gaze Displays.

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Authors:  Raymond Bertram; Laura Helle; Johanna K Kaakinen; Erkki Svedström
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  2 in total

1.  More scanning, but not zooming, is associated with diagnostic accuracy in evaluating digital breast pathology slides.

Authors:  Trafton Drew; Mark Lavelle; Kathleen F Kerr; Hannah Shucard; Tad T Brunyé; Donald L Weaver; Joann G Elmore
Journal:  J Vis       Date:  2021-10-05       Impact factor: 2.240

2.  The Oddity Detection in Diverse Scenes (ODDS) database: Validated real-world scenes for studying anomaly detection.

Authors:  Michael C Hout; Megan H Papesh; Saleem Masadeh; Hailey Sandin; Stephen C Walenchok; Phillip Post; Jessica Madrid; Bryan White; Juan D Guevara Pinto; Julian Welsh; Dre Goode; Rebecca Skulsky; Mariana Cazares Rodriguez
Journal:  Behav Res Methods       Date:  2022-03-30
  2 in total

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