Measuring breast density: Comparing computer-automated breast density quantification with an observer-based method in a South African academic context
SA Journal of Radiology
Field | Value | |
Title | Measuring breast density: Comparing computer-automated breast density quantification with an observer-based method in a South African academic context | |
Creator | Prinsloo, Erica Minné, Cornelia Greeff, Wim | |
Description | 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. | |
Publisher | AOSIS | |
Date | 2018-08-21 | |
Identifier | 10.4102/sajr.v22i2.1358 | |
Source | South African Journal of Radiology; Vol 22, No 2 (2018); 5 pages 2078-6778 1027-202X | |
Language | eng | |
Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://sajr.org.za/index.php/sajr/article/view/1358/2029
https://sajr.org.za/index.php/sajr/article/view/1358/2028
https://sajr.org.za/index.php/sajr/article/view/1358/2027
https://sajr.org.za/index.php/sajr/article/view/1358/2015
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