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Measuring breast density: Comparing computer-automated breast density quantification with an observer-based method in
Erica Prinsloo1, Cornelia Minné1, Wim Greeff1
1Dr George Mukhari Academic Hospital, Pretoria, South Africa.
SA Journal of Radiology
|November 23, 2019
Summary
Computer-automated breast density quantification (CABD) shows promise in reducing variability in breast density ratings. This technology aims to improve the accuracy of breast density assessments, which are crucial for cancer detection.
Area of Science:
- Radiology
- Medical Imaging
- Breast Cancer Research
Background:
- Dense breast tissue is an independent risk factor for breast cancer and can obscure tumors.
- Computer-automated breast density quantification (CABD) tools calculate volumetric breast density.
Purpose of the Study:
- Compare observer-based BI-RADS density scores with CABD software scores.
- Assess inter-reader variability among radiologists and registrars.
- Evaluate intra-reader reliability in breast density scoring.
Main Methods:
- Cross-sectional study of 100 patients (200 breasts).
- Three radiologists and three registrars assigned BI-RADS density scores.
- Two readings per mammogram, at least 30 days apart.
- Calculated agreement between CABD and observer scores, plus intra- and inter-reader reliability.
Main Results:
- Poor agreement observed between CABD-calculated densities and subjective BI-RADS scores.
- Statistically significant inter-reader and intra-reader variability in breast density evaluation.
Conclusions:
- Computer-automated breast density quantification (CABD) is a valuable tool for reducing variability in breast density ratings.
- CABD offers a more consistent approach to breast density assessment compared to subjective methods.
