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Rates of Change to a Positive Result in Subsequent Screening Mammography in Korean Women: A Retrospective Observational Study

  • Bae, Jong-Myon (Department of Preventive Medicine, Jeju National University School of Medicine) ;
  • Shin, Sang Yop (Korea Medical Institute) ;
  • Kim, Eun Hee (Department of Preventive Medicine, Jeju National University School of Medicine) ;
  • Kim, Yoon-Nam (Severance Hospital) ;
  • Nam, Chung Mo (Department of Preventive Medicine, Yonsei University College of Medicine)
  • Received : 2014.09.17
  • Accepted : 2014.12.11
  • Published : 2015.01.31

Abstract

Objectives: This retrospective cohort study aimed at calculating some parameters of changes in the findings of the subsequent screening mammography (SSM) in female Korean volunteers. Methods: The study included screenees aged 30 to 79 years who underwent SSM voluntarily after testing negative in the baseline screenings performed between January 2007 and December 2011. A change to a positive result was defined as category 4 or 5 by using the American College of Radiology Breast Imaging Reporting and Data System. The proportion of results that had changed to positive (CP, %) was calculated by dividing the number of cases with results that were positive in the SSM by the total number of study participants. The rate of results that had changed to positive (CR, cases per 100 000 screenee-months) was calculated by dividing the number of cases with results that were positive in the SSM by the total number of months of the follow-up period. Results: The overall CP and CR in all age groups (n=77 908) were 2.26% and 93.94 cases per 100 000 screenee-months, respectively. The median CP interval in the subjects who had positive SSM results was 30 to 36 months, while that in the age group of 30 to 39 years was shorter. Conclusions: Different screening intervals should be considered among women aged between 30 and 59 years. In addition, a strategy for a screening program should be developed for the age group of 30 to 39 years, in particular.

Keywords

References

  1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin 2011;61(2):69-90. https://doi.org/10.3322/caac.20107
  2. Jung KW, Won YJ, Kong HJ, Oh CM, Lee DH, Lee JS. Cancer statistics in Korea: incidence, mortality, survival, and prevalence in 2011. Cancer Res Treat 2014;46(2):109-123. https://doi.org/10.4143/crt.2014.46.2.109
  3. Coughlin SS, Ekwueme DU. Breast cancer as a global health concern. Cancer Epidemiol 2009;33(5):315-318. https://doi.org/10.1016/j.canep.2009.10.003
  4. International Cancer Screening Network. Breast cancer screening programs in 26 ICSN countries, 2012: organization, policies, and program reach [cited 2014 Sep 17]. Available from: http://appliedresearch.cancer.gov/icsn/breast/screening.html.
  5. Elmore JG, Armstrong K, Lehman CD, Fletcher SW. Screening for breast cancer. JAMA 2005;293(10):1245-1256. https://doi.org/10.1001/jama.293.10.1245
  6. Gemignani ML. Breast cancer screening: why, when, and how many? Clin Obstet Gynecol 2011;54(1):125-132. https://doi.org/10.1097/GRF.0b013e318208020d
  7. Suh M, Choi KS, Lee YY, Jun JK. Trends in cancer screening rates among Korean men and women: results from the Korean National Cancer Screening Survey, 2004-2012. Cancer Res Treat 2013;45(2):86-94. https://doi.org/10.4143/crt.2013.45.2.86
  8. Bae JM. On the benefits and harms of mammography for breast cancer screening in Korean women. Korean J Fam Med 2014; 4(1):1-6 (Korean).
  9. Seo HG. Screening for early detection of cancers II. J Korean Med Assoc 2006;49(6):515-530 (Korean). https://doi.org/10.5124/jkma.2006.49.6.515
  10. Bae JM, Shin SY, Kim EH. Mean sojourn time of preclinical gastric cancer in Korean men: a retrospective observational study. J Prev Med Public Health 2014;47(4):201-205. https://doi.org/10.3961/jpmph.2014.47.4.201
  11. Bae JM, Shin SY, Kim EH. Optimal interval for repeated gastric cancer screening in normal-risk healthy Korean adults: a retrospective cohort study. Cancer Res Treat 2014; in press.
  12. Bae JM. Methodological issues for determining intervals of subsequent cancer screening. Epidemiol Health 2014;36:e2014010.
  13. Weedon-Fekjaer H, Vatten LJ, Aalen OO, Lindqvist B, Tretli S. Estimating mean sojourn time and screening test sensitivity in breast cancer mammography screening: new results. J Med Screen 2005;12(4):172-178. https://doi.org/10.1258/096914105775220732
  14. Korea Medical Institute. KMI nationwide network [cited 2014 Sep 17]. Available from: http://www.kmi.or.kr/kor/center/network/kmi.web (Korean).
  15. Balleyguier C, Ayadi S, Van Nguyen K, Vanel D, Dromain C, Sigal R. BIRADS classification in mammography. Eur J Radiol 2007; 61(2):192-194. https://doi.org/10.1016/j.ejrad.2006.08.033
  16. Shen Y, Zelen M. Parametric estimation procedures for screening programmes: stable and nonstable disease models for multimodality case finding. Biometrika 1999;86(3):503-515. https://doi.org/10.1093/biomet/86.3.503
  17. Kim EH, Bae JM. Potential availability of dense mammogrphy for prevention of breast cancer in Korean women. Korean J Fam Med 2014;4(3):181-185 (Korean).
  18. Bae JM. Two hypotheses of dense breasts and viral infection for explaining incidence of breast cancer by age group in Korean women. Epidemiol Health 2014;36:e2014020.
  19. Bae JM, Shin SY, Kim EH, Kim YN, Nam CM. Distribution of dense breasts using screening mammography in Korean women: a retrospective observational study. Epidemiol Health 2014;36: e2014027.
  20. Smith RA. Breast cancer screening among women younger than age 50: a current assessment of the issues. CA Cancer J Clin 2000; 50(5):312-336. https://doi.org/10.3322/canjclin.50.5.312
  21. Tan SM, Evans AJ, Lam TP, Cheung KL. How relevant is breast cancer screening in the Asia/Pacific region? Breast 2007;16(2): 113-119. https://doi.org/10.1016/j.breast.2006.08.005