Literature DB >> 25172414

How mammographic breast density affects radiologists' visual search patterns.

Dana S Al Mousa1, Patrick C Brennan2, Elaine A Ryan2, Warwick B Lee3, Jennifer Tan4, Claudia Mello-Thoms2.   

Abstract

RATIONALE AND
OBJECTIVES: To determine the impact of mammographic breast density on the visual search process of radiologists when reading digital mammograms.
MATERIALS AND METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Keywords:  Digital mammography; breast cancer; mammographic breast density; radiologists' visual search

Mesh:

Year:  2014        PMID: 25172414     DOI: 10.1016/j.acra.2014.06.013

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


  2 in total

Review 1.  Breast Density Knowledge and Awareness: A Review of Literature.

Authors:  Marimer Santiago-Rivas; Shayna Benjamin; Lina Jandorf
Journal:  J Prim Care Community Health       Date:  2016-02-23

2.  An investigation into the mammographic appearances of missed breast cancers when recall rates are reduced.

Authors:  Norhashimah Mohd Norsuddin; Claudia Mello-Thoms; Warren Reed; Mary Rickard; Sarah Lewis
Journal:  Br J Radiol       Date:  2017-06-16       Impact factor: 3.039

  2 in total

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