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Comparison of Hologic’s Quantra Volumetric Assessment to MRI Breast Density

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Breast Imaging (IWDM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7361))

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Interest in measuring breast tissue density due to its association with breast cancer risk grows, though the majority of studies use qualitative density measures manually reported by radiologists, which are time-consuming and costly. The purpose of this study was to compare the accuracy of Hologic’s FDA-approved, commercially available automatic quantitative Quantra technique to a semi-automatic quantitative MRI-based Fuzzy C-Means technique in a screening population.

MRI and mammographic images were retrospectively analyzed from 123 women who had both types of exams within four years, a BIRADs diagnosis outcome of 1 or 2, and no history of breast cancer or surgery. Both techniques produced three measures: total breast volume, fibroglandular tissue volume, and percent fibroglandular tissue, which were compared.

Correlations between the three measures produced by the two techniques were mixed, with total volume having the highest correlation (R2=0.8909), percent fibroglandular density having moderate correlation (R2=0.5015), and fibroglandular tissue volume having the lowest correlation (R2=0.3853). Quantra results for percent fibroglandular density were significantly compressed in comparison with that of MRI, by about two-fold.

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© 2012 Springer-Verlag Berlin Heidelberg

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Wang, J., Aziz, A., Newitt, D., Joe, B.N., Hylton, N., Shepherd, J.A. (2012). Comparison of Hologic’s Quantra Volumetric Assessment to MRI Breast Density. In: Maidment, A.D.A., Bakic, P.R., Gavenonis, S. (eds) Breast Imaging. IWDM 2012. Lecture Notes in Computer Science, vol 7361. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31270-0

  • Online ISBN: 978-3-642-31271-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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