Related Experiment Video
Updated: May 22, 2026
15:48
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Quantitative assessment of breast mammographic density with a new objective method
G Iatrakis1, S Zervoudis, E Sparaggis
1Technological Educational Institution of Athens, Athens, Greece.
Journal of Medicine and Life
|May 9, 2012
Summary
This study introduces a new software tool to measure mammographic density (MD), a key risk factor for breast cancer. The program quantifies breast tissue density from digital mammograms, aiding in risk assessment.
Area of Science:
- Radiology and Medical Imaging
- Oncology
- Biomedical Engineering
Background:
- Increased mammographic density (MD) is a significant risk factor for breast cancer development.
- Accurate quantification of MD is crucial for breast cancer risk assessment.
Purpose of the Study:
- To evaluate an experimental software method for quantifying mammographic density (MD).
- To assess the utility of a novel program for analyzing digital screening mammograms.
Main Methods:
- Developed a software program to quantify MD by measuring pixel values in digital mammograms.
- The program assigns values from 0 (black) to 100 (white), with intermediate values for grey scales representing density.
- The method was based on a pre-existing Mac utility and adapted for Windows operating systems.
Main Results:
- The software successfully quantified mammographic density from digital screening mammograms.
- The experimental method provides a quantitative measure of breast tissue density.
Conclusions:
- The developed software offers a potential new method for quantifying mammographic density.
- This quantitative approach may improve breast cancer risk assessment in women with increased MD.
