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KMID : 1114620150120010007
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Journal of the Korean Society for Breast Screening
2015 Volume.12 No. 1 p.7 ~ p.11
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Breast Density Using Domestic Digital Mammography: Quantification using Semi-automated or Automated Software and Comparison with Volumetric Quantification using Breast MRI
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Kim Won-Hwa
Chang Jung-Min
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Abstract
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Purpose: To evaluate mammographic breast density using automated and semi-automated software in mammograms performed from digital mammography made by domestic manufacturer and compare breast density using BI-RADS assessment and using MRI mammograms performed by domestic and foreignmade digital mammography in evaluation of mammographic density.
Materials and Methods: We included 19 women who performed routine mammography using domestic digital mammography and MRI. For qualitative mammographic density evaluation, one radiologist graded breast density using 4-point Breast Imaging-Reporting and Data System (BI-RADS; grade 1, almost entirely fatty; grade 2, scattered fibroglandular; grade 3, heterogeneously dense; grade 4, extremely dense). For semi-automated quantitative mammographic density evaluation, another radiologist measured breast density using computer software (Cumulus) in percentage of glandular tissue by total breast tissue. For automated quantitative mammographic density, breast density was calculated with Volpara commercial software (n = 6). We used coefficient of intraclass correlation (ICC) analysis for comparison of breast density in mammograms between various quantification methods.
Results: Mean breast density using automated quantification method (Volpara, 15.2%) was significantly lower that estimated using semi-automated quantification method (Cumulus, 24.3%, P < .0001) and semi-automated MRI quantification (MIPAV, P = .0002). There was no significant difference between semi-automated quantification method (Cumulus) and semi-automated MRI quantification (P = .759). Mean breast density using automated quantification method (Volpara) was the lowest in any BI-RADS density. ICC between combination of any quantification method showed high correlation (all, above 0.8).
Conclusion: Among various quantification methods of breast density using mammograms performed by domestic digital mammography and MRI, percentage density was the lowest in the automated quantification method (Volpara) using mammogram.
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KEYWORD
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Digital mammography, Domestic mammographic unit, Breast density Automated quantification, Semi-automated quantification, Magnetic resonance imaging
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