Literature DB >> 17920866

Visual search behaviour in skeletal radiographs: a cross-specialty study.

J J H Leong1, M Nicolaou, R J Emery, A W Darzi, G-Z Yang.   

Abstract

AIM: To determine whether experience improves the consistency of visual search behaviour in fracture identification in plain radiographs, and the effect of specialization.
MATERIAL AND METHODS: Twenty-five observers consisting of consultant radiologists, consultant orthopaedic surgeons, orthopaedic specialist registrars, orthopaedic senior house officers, and accident and emergency senior house officers examined 33 skeletal radiographs (shoulder, hand, and knee). Eye movement data were collected using a Tobii 1750 eye tracker with levels of diagnostic confidence collected simultaneously. Kullback-Leibler (KL) divergence and Gaussian mixture model fitting of fixation distance-to-fracture were used to calculate the consistency and the relationship between discovery and reflective visual search phases among different observer groups.
RESULTS: Total time spent studying the radiograph was not significantly different between the groups. However, the expert groups had a higher number of true positives (p<0.001) with less dwell time on the fracture site (p<0.001) and smaller KL distance (r=0.062, p<0.001) between trials. The Gaussian mixture model revealed smaller mean squared error in the expert groups in hand radiographs (r=0.162, p=0.07); however, the reverse was true in shoulder radiographs (r=-0.287, p<0.001). The relative duration of the reflective phase decreases as the confidence level increased (r=0.266, p=0.074).
CONCLUSIONS: Expert search behaviour exhibited higher accuracy and consistency whilst using less time fixating on fracture sites. This strategy conforms to the discovery and reflective phases of the global-focal model, where the reflective search may be implicated in the cross-referencing and conspicuity of the target, as well as the level of decision-making process involved. The effect of specialization appears to change the search strategy more than the effect of the length of training.

Entities:  

Mesh:

Year:  2007        PMID: 17920866     DOI: 10.1016/j.crad.2007.05.008

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  10 in total

Review 1.  Emerging applications of eye-tracking technology in dermatology.

Authors:  Kevin K John; Jakob D Jensen; Andy J King; Manusheela Pokharel; Douglas Grossman
Journal:  J Dermatol Sci       Date:  2018-04-06       Impact factor: 4.563

2.  Visual expertise in detecting and diagnosing skeletal fractures.

Authors:  Greg Wood; Karen M Knapp; Benjamin Rock; Chris Cousens; Carl Roobottom; Mark R Wilson
Journal:  Skeletal Radiol       Date:  2012-09-01       Impact factor: 2.199

3.  Towards a framework for analysis of eye-tracking studies in the three dimensional environment: a study of visual search by experienced readers of endoluminal CT colonography.

Authors:  E Helbren; S Halligan; P Phillips; D Boone; T R Fanshawe; S A Taylor; D Manning; A Gale; D G Altman; S Mallett
Journal:  Br J Radiol       Date:  2014-02-20       Impact factor: 3.039

4.  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

5.  Deep learning detection of subtle fractures using staged algorithms to mimic radiologist search pattern.

Authors:  Mark Ren; Paul H Yi
Journal:  Skeletal Radiol       Date:  2021-02-12       Impact factor: 2.199

Review 6.  How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology.

Authors:  A van der Gijp; C J Ravesloot; H Jarodzka; M F van der Schaaf; I C van der Schaaf; J P J van Schaik; Th J Ten Cate
Journal:  Adv Health Sci Educ Theory Pract       Date:  2016-07-19       Impact factor: 3.853

Review 7.  The Holistic Processing Account of Visual Expertise in Medical Image Perception: A Review.

Authors:  Heather Sheridan; Eyal M Reingold
Journal:  Front Psychol       Date:  2017-09-28

8.  Does effective gaze behavior lead to enhanced performance in a complex error-detection cockpit task?

Authors:  Stephanie Brams; Ignace T C Hooge; Gal Ziv; Siska Dauwe; Ken Evens; Tony De Wolf; Oron Levin; Johan Wagemans; Werner F Helsen
Journal:  PLoS One       Date:  2018-11-21       Impact factor: 3.240

9.  Eye movements reflect expertise development in hybrid search.

Authors:  Megan H Papesh; Michael C Hout; Juan D Guevara Pinto; Arryn Robbins; Alexis Lopez
Journal:  Cogn Res Princ Implic       Date:  2021-02-15

10.  New approaches to the analysis of eye movement behaviour across expertise while viewing brain MRIs.

Authors:  Emily M Crowe; Iain D Gilchrist; Christopher Kent
Journal:  Cogn Res Princ Implic       Date:  2018-04-25
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.