Related Experiment Video
Updated: Apr 26, 2026

15:48
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
25.0K
Postmortem validation of breast density using dual-energy mammography
Sabee Molloi1, Justin L Ducote1, Huanjun Ding1
1Department of Radiological Sciences, University of California, Irvine, California 92697.
Medical Physics
|August 4, 2014
Summary
Dual energy mammography accurately measures breast density, a key breast cancer risk factor. This technique shows lower variability than other methods, improving its clinical utility.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Mammographic density is a significant indicator of breast cancer risk.
- Breast density impacts mammography sensitivity, potentially hindering early detection.
- A standardized method for measuring breast density is currently lacking.
Purpose of the Study:
- To validate the accuracy of dual-energy mammography for breast density measurement.
- To compare dual-energy mammography with existing breast density assessment techniques.
- To assess accuracy in postmortem breast tissue.
Main Methods:
- Dual-energy mammography imaging of 40 postmortem breasts.
- Calibration using glandular and adipose equivalent phantoms for a dual-energy basis decomposition algorithm.
- Comparison with radiologist assessment, histogram thresholding, fuzzy C-mean, and chemical analysis (reference standard).
Main Results:
- Dual-energy mammography measurements showed good agreement with chemical analysis of fibroglandular volume fraction.
- Dual-energy mammography achieved the lowest standard error (4.7%) compared to other methods.
- Other methods had standard errors of 9.9% (reader assessment), 8.6% (histogram thresholding), and 7.2% (fuzzy C-mean).
Conclusions:
- Dual-energy mammography provides an accurate method for quantifying breast density.
- This technique demonstrates superior accuracy and reduced variability compared to current methods.
- Enhanced breast density quantification can improve its role in breast cancer risk assessment.

