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Cited by 607

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

The quantitative analysis of mammographic densities

Open access
Byng, J W, Boyd, N F, Fishell, E, Jong, R A, Yaffe, M J·1994·Physics in Medicine and Biology
DOI 10.1088/0031-9155/39/10/008
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Abstract

Quantitative classification of mammographic parenchyma based on radiological assessment has been shown to provide one of the strongest estimates of the risk of developing breast cancer. Existing classification schemes, however, are limited by coarse category scales. In addition, subjectivity can lead to sizeable interobserver and intraobserver variations. Here, we propose an interactive thresholding technique applied to digitized film-screen mammograms, which assesses the proportion of the mammographic image representing radiographically dense tissue. Observers viewed images on a CRT display and selected grey-level thresholds from which the breast and regions of dense tissue in the breast were identified. The proportion of radiographic density was then calculated from the image histogram. The technique was evaluated for the mammograms of 30 women and is well correlated (R > 0.91, Spearman coefficient) with a six-category subjective classification of radiographic density by radiologists. The technique was found to be very reliable with an intraclass correlation coefficient between observers typically R > 0.9. This technique may have a role in routine mammographic analysis for the purpose of assessing risk categories and as a tool in studies of the etiology of breast cancer, in particular for monitoring changes in breast parenchyma during potential preventive interventions.

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Metadata

Authors
Byng, J. W., Boyd, N. F., Fishell, E., Jong, R. A., & Yaffe, M. J.
Venue
Physics in Medicine and Biology
Publisher
IOP Publishing
Published
1994-10-01
Volume
39
Issue
10
Pages
1629-1638
ISSN
  • 0031-9155 (ISSN-L)
  • 1361-6560
DOI
10.1088/0031-9155/39/10/008
OpenAlex
W2068611090
Cited by
607
References
12
FWCI
2.43
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The quantitative analysis of mammographic densities. https://app.cochat.ai/papers/10.1088/0031-9155/39/10/008
The paper
Byng, J. W., Boyd, N. F., Fishell, E., Jong, R. A., & Yaffe, M. J. (1994). The quantitative analysis of mammographic densities. Physics in Medicine and Biology. https://doi.org/10.1088/0031-9155/39/10/008

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.