Literature DB >> 9419461

Searching for bone fractures: a comparison with pulmonary nodule search.

C H Hu1, H L Kundel, C F Nodine, E A Krupinski, L C Toto.   

Abstract

RATIONALE AND
OBJECTIVES: We aimed to determine if the characteristics and principles of visual search described for the detection of pulmonary nodules apply to extremity fractures.
METHODS: The eye positions of staff orthopedic radiologists, radiology residents, and medical students were monitored as they searched hand and wrist X-ray images for fractures and a chest image for nodules.
RESULTS: More systematic scanning patterns were observed for experienced observers than inexperienced observers. Positive decisions for bone images were associated with prolonged gaze durations; prolonged gaze durations were significantly longer for false-negative versus true-negative decisions. Intercluster jump distances were found to be greater for chest images than bone images.
CONCLUSIONS: A search for bone fractures can be qualitatively characterized by classifying observer scan paths, dwell times, and jump distances. Gaze duration can be a useful predictor of bone image locations containing potential missed fractures. Perceptual feedback could aid observers in the detection of inconspicuous fractures.

Entities:  

Mesh:

Year:  1994        PMID: 9419461     DOI: 10.1016/s1076-6332(05)80780-9

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  15 in total

1.  Conceptual approach for the design of radiology reporting interfaces: the talking template.

Authors:  Chris L Sistrom
Journal:  J Digit Imaging       Date:  2005-09       Impact factor: 4.056

2.  Visualising scanning patterns of pathologists in the grading of cervical intraepithelial neoplasia.

Authors:  E S M Tiersma; A A W Peters; H A Mooij; G J Fleuren
Journal:  J Clin Pathol       Date:  2003-09       Impact factor: 3.411

3.  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

4.  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

5.  Comparative study of computational visual attention models on two-dimensional medical images.

Authors:  Gezheng Wen; Brenda Rodriguez-Niño; Furkan Y Pecen; David J Vining; Naveen Garg; Mia K Markey
Journal:  J Med Imaging (Bellingham)       Date:  2017-05-10

Review 6.  Current perspectives in medical image perception.

Authors:  Elizabeth A Krupinski
Journal:  Atten Percept Psychophys       Date:  2010-07       Impact factor: 2.199

7.  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

8.  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

9.  Where do neurologists look when viewing brain CT images? An eye-tracking study involving stroke cases.

Authors:  Hideyuki Matsumoto; Yasuo Terao; Akihiro Yugeta; Hideki Fukuda; Masaki Emoto; Toshiaki Furubayashi; Tomoko Okano; Ritsuko Hanajima; Yoshikazu Ugawa
Journal:  PLoS One       Date:  2011-12-12       Impact factor: 3.240

Review 10.  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

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