DOI QR코드

DOI QR Code

Development of a Sampling Strategy and Sample Size Calculation to Estimate the Distribution of Mammographic Breast Density in Korean Women

  • Jun, Jae Kwan (National Cancer Control Institute, National Cancer Center) ;
  • Kim, Mi Jin (National Cancer Control Institute, National Cancer Center) ;
  • Choi, Kui Son (National Cancer Control Institute, National Cancer Center) ;
  • Suh, Mina (National Cancer Control Institute, National Cancer Center) ;
  • Jung, Kyu-Won (National Cancer Control Institute, National Cancer Center)
  • Published : 2012.09.30

Abstract

Mammographic breast density is a known risk factor for breast cancer. To conduct a survey to estimate the distribution of mammographic breast density in Korean women, appropriate sampling strategies for representative and efficient sampling design were evaluated through simulation. Using the target population from the National Cancer Screening Programme (NCSP) for breast cancer in 2009, we verified the distribution estimate by repeating the simulation 1,000 times using stratified random sampling to investigate the distribution of breast density of 1,340,362 women. According to the simulation results, using a sampling design stratifying the nation into three groups (metropolitan, urban, and rural), with a total sample size of 4,000, we estimated the distribution of breast density in Korean women at a level of 0.01% tolerance. Based on the results of our study, a nationwide survey for estimating the distribution of mammographic breast density among Korean women can be conducted efficiently.

Keywords

References

  1. Boyd NF, Rommens JM, Vogt K, et al (2005). Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol, 6, 798-808. https://doi.org/10.1016/S1470-2045(05)70390-9
  2. Boyd NF, Martin LJ, Sun L, et al (2006). Body size, mammographic density, and breast cancer risk. Cancer Epidemiol Biomarkers Prev, 15, 2086-92. https://doi.org/10.1158/1055-9965.EPI-06-0345
  3. Boyd NF, Guo H, Martin LJ, et al (2007). Mammographic density and the risk and detection of breast cancer. N Engl J Med, 356, 227-36. https://doi.org/10.1056/NEJMoa062790
  4. Boyd NF, Martin LJ, Bronskill M, et al (2010). Breast tissue composition and susceptibility to breast cancer. J Natl Cancer Inst, 102, 1224-37. https://doi.org/10.1093/jnci/djq239
  5. Ghosh K, Vachon CM, Pankratz VS, et al (2010). Independent association of lobular involution and mammographic breast density with breast cancer risk. J Natl Cancer Inst, 102, 1716-23. https://doi.org/10.1093/jnci/djq414
  6. Gram IT, Bremnes Y, Ursin G, et al (2005). Percentage density, Wolfe's and Tabár's mammographic patterns: agreement and association with risk factors for breast cancer. Breast Cancer Res, 7, R854-61. https://doi.org/10.1186/bcr1308
  7. Habel LA, Capra AM, Oestreicher N, et al (2007). Mammographic density in a multiethnic cohort. Menopause, 14, 891-9. https://doi.org/10.1097/gme.0b013e318032569c
  8. Kim SH, Kim MH, Oh KK (2000). Analysis and comparison of breast density according to age on mammogram between Korea and western women. J Korean Radiol Soc, 42, 1009-1014.
  9. Lee JS, Kim JY, Baik SH, et al (2009). An evaluation of sampling design for estimating an epidemiologic volume of diabetes and for assessing present status of its control in Korea. J Prev Med Public Health, 49, 135-142. https://doi.org/10.3961/jpmph.2009.42.2.135
  10. Li T, Sun L, Miller N, et al (2005). The association of measured breast tissue characteristics with mammographic density and other risk factors for breast cancer. Cancer Epidemiol Biomarkers Prev, 14, 343-9. https://doi.org/10.1158/1055-9965.EPI-04-0490
  11. Martin LJ and Boyd NF (2008). Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence. Breast Cancer Res, 10, 201. https://doi.org/10.1186/bcr1831
  12. Maskarinec G, Pagano I, Lurie G, et al (2005). Mammographic density and breast cancer risk. Am J Epidemiol, 162, 743- 752. https://doi.org/10.1093/aje/kwi270
  13. McCormack VA, dos Santos Silva I (2006). Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev, 15, 1159-69. https://doi.org/10.1158/1055-9965.EPI-06-0034
  14. McCormack VA, Perry N, Vinnicombe SJ, et al(2008). Ethnic variations in mammographic density: a British multiethnic longitudinal study. Am J Epidemiol, 168, 412-21. https://doi.org/10.1093/aje/kwn169
  15. Oh DK, Shim JI, Han MA, et al (2010). Breast cancer screening in Korean women: Report of the National Cancer Screening Program in 2008. J Breast Cancer, 13, 299-304. https://doi.org/10.4048/jbc.2010.13.3.299
  16. Oh D, Jung DW, Jun JK, et al (2011). On-schedule mammography rescreening in the National Cancer Screening Program for breast cancer in Korea. Asian Pacific J Cancer Prev, 12, 2865-70.
  17. Wolfe JN (1976). Breast patterns as an index of risk for developing breast cancer. AJR Am J Roentgenol, 126, 1130-7. https://doi.org/10.2214/ajr.126.6.1130

Cited by

  1. Associations between Breast Density on Mammography and Lifestyle Related Disease vol.17, pp.1, 2017, https://doi.org/10.15384/kjhp.2017.17.1.1