Abstract
Previous studies have shown that breast cancer has been linked to breast density as well as obesity. We aim to investigate the relationships between body mass index (BMI), body fat mass (BFM), waist-hip ratio (WHR), age and ethnicity with volumetric breast density (VBD) among Malaysian women. In this context, VBD is defined as the ratio of fibroglandular tissue volume to total breast volume. We collected anthropomorphic and body composition data for 2457 subjects undergoing mammographic examination at the University of Malaya Medical Centre, Kuala Lumpur. The data included weight, height, BMI and BFM which were measured with a body composition analyzer. We also measured waist and hip circumferences for 500 of these subjects. A VBD assessment system (Volpara) was used to analyze mammograms. Our results showed that VBD is not significantly correlated with BMI (r2 = 0.17), BFM (r2 = 0.19), WHR (r2 = 0.11). We also noted that VBD is highest among Malaysian women below 40 years old. VBD is highest for Chinese (mean = 11.3%), followed by Malay (mean = 10.1%) and Indian (mean = 9.4%). In conclusion, VBD is dependent on age and ethnicity (ANOVA, p<0.05) but not on BMI, BFM and WHR.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Stephenson, G.D., Rose, D.P.: Breast cancer and obesity: an update. Nutrition and Cancer 45, 1–16 (2003)
La Guardia, M., Giammanco, M.: Breast cancer and obesity. Panminerva Medica 43, 123–133 (2001)
Boyd, N.F., Lockwood, G.A., Byng, J.W., Tritchler, D.L., Yaffe, M.J.: Mammographic densities and breast cancer risk. Cancer Epidemiology, Biomarkers & Prevention: a Publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 7, 1133–1144 (1998)
van Gils, C.H., Otten, J.D., Verbeek, A.L., Hendriks, J.H.: Mammographic breast density and risk of breast cancer: masking bias or causality? European Journal of Epidemiology 14, 315–320 (1998)
Carmichael, A.R., Bates, T.: Obesity and breast cancer: a review of the literature. Breast 13, 85–92 (2004)
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. The New England Journal of Medicine 356, 227–236 (2007)
Zulfiqar, M., Rohazly, I., Rahmah, M.: Do the majority of Malaysian women have dense breasts on mammogram? Biomedical Imaging and Intervention Journal 7, e14 (2011)
Jamal, N., Ng, K.H., McLean, D., Looi, L.M., Moosa, F.: Mammographic breast glandularity in Malaysian women: data derived from radiography. AJR American Journal of Roentgenology 182, 713–717 (2004)
Highnam, R., Brady, S.M., Yaffe, M.J., Karssemeijer, N., Harvey, J.: Robust Breast Composition Measurement - VolparaTM. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds.) IWDM 2010. LNCS, vol. 6136, pp. 342–349. Springer, Heidelberg (2010)
Highnam, R., Brady, M., Shepstone, B.: A representation for mammographic image processing. Medical Image Analysis 1, 1–18 (1996)
van Engeland, S., Snoeren, P.R., Huisman, H., Boetes, C., Karssemeijer, N.: Volumetric breast density estimation from full-field digital mammograms. IEEE Transactions on Medical Imaging 25, 273–282 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Zakariyah, N., Ng, KH., Lau, S., Rahmat, K., Fadzli, F., Taib, N.A.M. (2014). Is Volumetric Breast Density Related to Body Mass Index, Body Fat Mass, Waist-Hip Ratio, Age and Ethnicity for Malaysian Women?. In: Fujita, H., Hara, T., Muramatsu, C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham. https://doi.org/10.1007/978-3-319-07887-8_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-07887-8_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07886-1
Online ISBN: 978-3-319-07887-8
eBook Packages: Computer ScienceComputer Science (R0)