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Quantitative breast density analysis using tomosynthesis and comparison with MRI and digital mammography
Woo Kyung Moon1, Jie-Fan Chang2, Chung-Ming Lo3
1Department of Radiology, Seoul National University College of Medicine and Seoul National University Hospital, Seoul 110-744, Korea.
Computer Methods and Programs in Biomedicine
|December 19, 2017
Summary
Tomosynthesis offers reliable 3D breast density evaluation, correlating well with MRI and digital mammography. This advanced imaging technique provides valuable insights into breast cancer risk assessment.
Area of Science:
- Radiology and Medical Imaging
- Biomedical Engineering
- Oncology
Background:
- Breast density is a known marker for breast cancer risk.
- Traditional mammography has limitations in accurately assessing breast density.
- Emerging technologies like tomosynthesis offer potential for improved evaluation.
Purpose of the Study:
- To evaluate the reliability of tomosynthesis for breast density assessment.
- To compare tomosynthesis-derived breast density with MRI and digital mammography.
- To introduce a computer-aided quantitative method for breast density analysis.
Main Methods:
- Utilized 98 tomosynthesis image volumes from 98 women.
- Applied automatic skin removal and a fuzzy c-mean (FCM) classifier to isolate fibroglandular tissue.
- Calculated percent breast density and breast volume, comparing results with MRI and digital mammography (Cumulus software).
Main Results:
- Tomosynthesis, MRI, and digital mammography showed significant correlations in breast density and volume measurements (P < .001).
- Correlation coefficients (R) ranged from 0.482 to 0.877 between modalities.
- Tomosynthesis provided comparable 3D breast density data to MRI.
Conclusions:
- Tomosynthesis, in conjunction with the proposed quantitative method, provides reliable 3D breast density and volume information.
- The findings suggest tomosynthesis is a valuable tool for breast cancer risk assessment.
- Tomosynthesis offers a more comprehensive evaluation of breast density compared to traditional methods.
