Abstract
We compare a volumetric versus an area-based breast density estimation method in digital mammography. Bilateral images from 71 asymptomatic women were analyzed. Volumetric density was measured using Quantra TM (Hologic Inc.). Area-based density was estimated using Cumulus (Ver. 4.0, Univ. Toronto). Correlation and regression analysis was performed to determine the association between i) density from left versus right breasts and ii) volumetric versus the area-based measures. Volumetric breast density measures are strongly correlated but statistically significantly different than the area-based measures (r=0.79, p<0.001). Regression demonstrates a significant non-linear association (R 2=0.70,p<0.001). The density correlation between right and left breasts is also strong for both methods, (r≥0.95, p<0.001). The strong association with the area-based density measures suggests that volumetric breast density could potentially also aid in breast cancer risk estimation. The observed non-linear association between volumetric and area-based estimates may have implications for risk stratification in clinical practice.
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References
Boyd, N.F., Guo, H., Martin, L.J., Sun, L., Stone, J., Fishell, E., Jong, R.A., Hislop, G., Chiarelli, A., Minkin, S., Yaffe, M.J.: Mammographic density and the risk and detection of breast cancer. New England Journal of Medicine 356, 227–236 (2007)
Tice, J.A., Kerlikowske, K.: Screening and prevention of breast cancer in primary care. Prim. Care 36, 533–558 (2009)
Yaffe, M.J.: Mammographic density. Measurement of mammographic density. Breast Cancer Research 10, 209 (2008)
Martin, K.E., Helvie, M.A., Zhou, C., Roubidoux, M.A., Bailey, J.E., Paramagul, C., Blane, C.E., Klein, K.A., Sonnad, S.S., Chan, H.P.: Mammographic density measured with quantitative computer-aided method: comparison with radiologists’ estimates and BI-RADS categories. Radiology 240, 656–665 (2006)
Harvey, J.A., Bovbjerg, V.E.: Quantitative Assessment of Mammographic Breast Density: Relationship with Breast Cancer Risk. Radiology 230, 29–41 (2004)
Highnam, R., Jeffreys, M., McCormack, V., Warren, R., Davey Smith, G., Brady, M.: Comparing measurements of breast density. Phys. Med. Biol. 52, 5881–5895 (2007)
McCormack, V.A., Highnam, R., Perry, N., dos Santos Silva, I.: Comparison of a new and existing method of mammographic density measurement: intramethod reliability and associations with known risk factors. Cancer Epidemiol Biomarkers Prev. 16, 1148–1154 (2007)
Jeffreys, M., Warren, R., Highnam, R., Smith, G.D.: Initial experiences of using an automated volumetric measure of breast density: the standard mammogram form. Br. J. Radiol. 79, 378–382 (2006)
Pawluczyk, O., Augustine, B.J., Yaffe, M.J., Rico, D., Yang, J., Mawdsley, G.E., Boyd, N.F.: A volumetric method for estimation of breast density on digitized screen-film mammograms. Medical Physics 30, 352–364 (2003)
Boyd, N., Martin, L., Gunasekara, A., Melnichouk, O., Maudsley, G., Peressotti, C., Yaffe, M., Minkin, S.: Mammographic density and breast cancer risk: evaluation of a novel method of measuring breast tissue volumes. Cancer Epidemiol Biomarkers Prev. 18, 1754–1762 (2009)
Kopans, D.B.: Basic physics and doubts about relationship between mammographically determined tissue density and breast cancer risk. Radiology 246, 348–353 (2008)
Jeffreys, M., Warren, R., Highnam, R., Davey Smith, G.: Breast cancer risk factors and a novel measure of volumetric breast density: cross-sectional study. Br. J. Cancer 98, 210–216 (2008)
Ding, J., Warren, R., Warsi, I., Day, N., Thompson, D., Brady, M., Tromans, C., Highnam, R., Easton, D.: Evaluating the effectiveness of using standard mammogram form to predict breast cancer risk: case-control study. Cancer Epidemiol Biomarkers Prev. 17, 1074–1081 (2008)
Hartman, K., Highnam, R., Warren, R., Jackson, V.: Volumetric Assessment of Breast Tissue Composition from FFDM Images. In: Krupinski, E.A. (ed.) IWDM 2008. LNCS, vol. 5116, pp. 33–39. Springer, Heidelberg (2008)
van Engeland, S., Snoeren, P.R., Huisman, H., Boetes, C., Karssemeijer, N.: Volumetric breast density estimation from full-field digital mammograms. IEEE Trans. Med. Imaging 25, 273–282 (2006)
Kontos, D., Ikejimba, L., Bakic, P.R., Troxel, A.B., Conant, E.F., Maidment, A.D.A.: Digital breast tomosynthesis parenchymal texture analysis for breast cancer risk estimation: Results from a screening trial. Presented at 95th Scientific Assembly and Annual Meeting of the Radiological Society of North America, Chicago, IL (2009)
Kontos, D., Bakic, P.R., Carton, A.K., Troxel, A.B., Conant, E.F., Maidment, A.D.A.: Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: A preliminary study. Academic Radiology 16, 283–298 (2009)
Understanding R2 Quantra 1.3, Hologic Inc. (Software Manual) (2009)
The ACR Breast Imaging Reporting and Data System (BI-RADS) Atlas. American College of Radiology, Reston (2003)
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Kontos, D., Bakic, P.R., Acciavatti, R.J., Conant, E.F., Maidment, A.D.A. (2010). A Comparative Study of Volumetric and Area-Based Breast Density Estimation in Digital Mammography: Results from a Screening Population. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_51
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DOI: https://doi.org/10.1007/978-3-642-13666-5_51
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