Measuring breast density: Comparing computer-automated breast density quantification with an observer-based method in a South African academic context
SA j. radiol
;
22(2): 1-5, 2018. tab
Article
in English
| AIM
| ID: biblio-1271347
ABSTRACT
Background:
Dense breast tissue may not only 'mask' small, non-calcified cancers but also represents an independent risk factor for the development of breast cancer. Computer-automated breast density quantification (CABD) software tools have been developed for the calculation of volumetric breast density.Objectives:
This study sought (1) to compare observer-based breast density scores, using the fifth edition of the Breast Imaging Reporting and Data System (BI-RADS), with the breast density scores calculated using CABD quantification software tools, (2) to determine inter-reader variability in breast density scoring between qualified radiologists, between radiologists in training (registrars) and between these two groups and (3) to determine intra-reader reliability in breast density scoring.Methods:
A cross-sectional study was performed using the data of 100 patients (200 breasts). Three qualified radiologists and three registrars were asked to review the mammograms in question and to assign a breast density score according to the fifth edition of the Breast Imaging Reporting and Data System (BI-RADS) reporting system. Two readings took place at a minimum of 30 days apart. The percentage agreement between the automated and observer-based scores was calculated and intra-reader and inter-reader reliability values were determined.Results:
The study found that there was poor agreement between the breast densities calculated by CABD and the more subjective observer-based BI-RADS density scores. These results further reflect a statistically significant degree of inter-reader and intra-reader variability in the evaluation of breast density.Conclusion:
We conclude that the use of automated breast density quantification (i.e. CABD) is a valuable tool for the reduction of variability in breast density ratings
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Index:
AIM (Africa)
Main subject:
Patients
/
South Africa
/
Tomography, X-Ray Computed
/
Breast Density
Type of study:
Observational study
/
Risk factors
Country/Region as subject:
Africa
Language:
English
Journal:
SA j. radiol
Year:
2018
Type:
Article
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