Journal article
How Mammographic Breast Density Affects Radiologists' Visual Search Patterns
Academic radiology, Vol.21(11), pp.1386-1393
11/2014
DOI: 10.1016/j.acra.2014.06.013
PMID: 25172414
Abstract
To determine the impact of mammographic breast density on the visual search process of radiologists when reading digital mammograms.
Institutional review board approval was obtained. A set of 149 craniocaudal digital mammograms were read by seven radiologists, and observer search patterns were recorded. Total time examining each case, time to first hit the lesion, dwell time, and number of hits per area were calculated. The nonparametric Mann–Whitney U test was used for statistical evaluation.
In both low- and high-mammographic density cases, significant increases were observed in the time to first hit lesions when they were located outside, compared to overlying fibroglandular dense tissue (P = .001). Significantly longer dwell time (P = .003) and greater number of fixations (P = .0003) were observed when the lesions were situated within—rather than outside—the dense fibroglandular tissue.
Increased mammographic breast density changes radiologists' visual search patterns. Dense areas of the parenchyma attracted greater visual attention in both high- and low-mammographic density cases, resulting in faster detection of lesions overlying the fibroglandular dense tissue, along with longer dwell times and greater number of fixations, as compared to lesions located outside the dense fibroglandular regions.
Details
- Title: Subtitle
- How Mammographic Breast Density Affects Radiologists' Visual Search Patterns
- Creators
- Dana S AL Mousa - Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Cumberland Campus, East St, P.O. Box 170, Lidcombe, New South Wales 2141, AustraliaPatrick C Brennan - Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Cumberland Campus, East St, P.O. Box 170, Lidcombe, New South Wales 2141, AustraliaElaine A Ryan - Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Cumberland Campus, East St, P.O. Box 170, Lidcombe, New South Wales 2141, AustraliaWarwick B Lee - BreastScreen, Cancer Institute of NSW, Sydney, New South Wales, AustraliaJennifer Tan - Sydney South West Area Health Services, Sydney, New South Wales, AustraliaClaudia Mello-Thoms - Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Cumberland Campus, East St, P.O. Box 170, Lidcombe, New South Wales 2141, Australia
- Resource Type
- Journal article
- Publication Details
- Academic radiology, Vol.21(11), pp.1386-1393
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.acra.2014.06.013
- PMID
- 25172414
- ISSN
- 1076-6332
- eISSN
- 1878-4046
- Grant note
- DOI: 10.13039/501100004035, name: Jordan University of Science and Technology
- Language
- English
- Date published
- 11/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984051581202771
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