What effect does mammographic breast density have on lesion detection in digital mammography?

D S AL Mousa; E A Ryan; C Mello-Thoms; P C Brennan

doi:10.1016/j.crad.2013.11.014

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What effect does mammographic breast density have on lesion detection in digital mammography?

Journal article

Peer reviewed

What effect does mammographic breast density have on lesion detection in digital mammography?

D S AL Mousa, E A Ryan, C Mello-Thoms and P C Brennan

Clinical radiology, Vol.69(4), pp.333-341

04/2014

DOI: 10.1016/j.crad.2013.11.014

PMID: 24424328

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Abstract

Effective detection of breast cancer using mammography is an important public health issue worldwide. Breasts that contain higher levels of fibroglandular compared with fatty tissue increase breast radio-opacity making it more difficult to differentiate between normal and abnormal findings. The higher prevalence of breast cancer amongst women with denser breasts demands the origination of effective solutions to manage this common radiographic appearance. This brief review considers the impact of higher levels of density on cancer detection and the importance of digital technology in possibly reducing the negative effects of increased density.

Public Health

Reproducibility of Results

Prevalence

Early Detection of Cancer

Humans

Mammography

Mass Screening - methods

Australia - epidemiology

Breast Neoplasms - pathology

Sensitivity and Specificity

Female

Breast Neoplasms - diagnostic imaging

Pattern Recognition, Automated

Adipose Tissue

Breast - pathology

Radiographic Image Interpretation, Computer-Assisted

Breast Neoplasms - epidemiology

Radiographic Image Enhancement

Details

Title: Subtitle: What effect does mammographic breast density have on lesion detection in digital mammography?
Creators: D S AL Mousa - Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia. Electronic address: dalm3874@uni.sydney.edu.au
E A Ryan - Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia
C Mello-Thoms - Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia
P C Brennan - Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia
Resource Type: Journal article
Publication Details: Clinical radiology, Vol.69(4), pp.333-341
Publisher: England
DOI: 10.1016/j.crad.2013.11.014
PMID: 24424328
ISSN: 0009-9260
eISSN: 1365-229X
Grant note: DOI: 10.13039/501100004035, name: Jordan University of Science and Technology
Language: English
Date published: 04/2014
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology
Record Identifier: 9984051577802771

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