Literature DB >> 16039537

Effects of lesion conspicuity on visual search in mammogram reading.

Claudia Mello-Thoms1, Lara Hardesty, Jules Sumkin, Marie Ganott, Christiane Hakim, Cynthia Britton, Jennifer Stalder, Glenn Maitz.   

Abstract

RATIONALE AND
OBJECTIVES: The goal of mammography screening is to detect breast cancer at early stages, but because of the complexity of the breast parenchyma and the variability of signs of the disease, many cancers go unreported when initially visible on the mammogram. We compared the visual search strategy used by experienced mammographers in a case set where they examined both the mammogram in which a malignant mass was discovered at screening mammography and the most recent prior mammogram.
MATERIALS AND METHODS: Four experienced mammographers participated in this experiment. They read a case set of 20 two-view mammograms, of which 15 contained a malignant mass and 5 were lesion-free, in two trials. For each of the cancer cases, two versions were shown to the observers: the one in which the cancer was reported in the clinical practice, called the "current" mammograms, and the most recent prior. Each trial had a balanced mix of current and prior mammograms. In addition, the same set of lesion-free cases was shown to the observers in both trials. The eye movements of the observers were tracked, and visual search parameters such as time to hit the location of the malignant mass, dwell, and mean pupil size in the location of the cancer were collected. Statistical analyses were used to determine whether there were differences between the current and prior mammograms.
RESULTS: A total of 66% of the malignant masses in the current mammograms and 57% in the priors attracted some amount of visual attention. From these, 71% yielded a report on the current mammograms, but only 40% on the priors. In the cases where the observer saw the malignant mass, they did so within 2 seconds of image display, regardless of whether the mammogram was current or prior.
CONCLUSION: Most unreported malignant masses attracted some amount of visual attention, but it was in the processing of the information extracted in the location of the lesion that most errors occurred. In our experiment, approximately 70% of the total time used by the observers for visual scan of the cases was spent gathering information to corroborate the hypothesis already formed by the radiologist.

Entities:  

Mesh:

Year:  2005        PMID: 16039537     DOI: 10.1016/j.acra.2005.03.068

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


  14 in total

1.  On the choice of acceptance radius in free-response observer performance studies.

Authors:  T M Haygood; J Ryan; P C Brennan; S Li; E M Marom; M F McEntee; M Itani; M Evanoff; D Chakraborty
Journal:  Br J Radiol       Date:  2012-05-09       Impact factor: 3.039

2.  Investigating the link between radiologists' gaze, diagnostic decision, and image content.

Authors:  Georgia Tourassi; Sophie Voisin; Vincent Paquit; Elizabeth Krupinski
Journal:  J Am Med Inform Assoc       Date:  2013-06-20       Impact factor: 4.497

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.  Radiographers' performance in chest X-ray interpretation: the Nigerian experience.

Authors:  E U Ekpo; N O Egbe; B E Akpan
Journal:  Br J Radiol       Date:  2015-05-12       Impact factor: 3.039

5.  Breast screen new South wales generally demonstrates good radiologic viewing conditions.

Authors:  BaoLin Pauline Soh; Warwick Lee; Jennifer L Diffey; Mark F McEntee; Peter L Kench; Warren M Reed; Patrick C Brennan
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

Review 6.  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

7.  Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study.

Authors:  Avi Aizenman; Trafton Drew; Krista A Ehinger; Dianne Georgian-Smith; Jeremy M Wolfe
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-27

8.  Visual search in breast imaging.

Authors:  Ziba Gandomkar; Claudia Mello-Thoms
Journal:  Br J Radiol       Date:  2019-07-18       Impact factor: 3.039

9.  Application of threshold-bias independent analysis to eye-tracking and FROC data.

Authors:  Dev P Chakraborty; Hong-Jun Yoon; Claudia Mello-Thoms
Journal:  Acad Radiol       Date:  2012-10-04       Impact factor: 3.173

10.  3D-printed model improves clinical assessment of surgeons on anatomy.

Authors:  Bin Zheng; Xiaolin Wang; Yixiong Zheng; Jiexiong Feng
Journal:  J Robot Surg       Date:  2018-04-24
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