Korean J Radiol.  2016 Aug;17(4):489-496. 10.3348/kjr.2016.17.4.489.

Performance of Screening Mammography: A Report of the Alliance for Breast Cancer Screening in Korea

Affiliations
  • 1Department of Radiology, Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon 14584, Korea.
  • 2Department of Radiology, Konyang University Hospital, Konyang University College of Medicine, Daejeon 35365, Korea.
  • 3Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung 25440, Korea.
  • 4Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Korea.
  • 5Department of Radiology, Chonnam National University Hwasun Hospital, Chonnam National University College of Medicine, Hwasun 58128, Korea.
  • 6Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul 04763, Korea.
  • 7Department of Radiology, Wonkwang University Hospital, Wonkwang University School of Medicine, Iksan 54538, Korea.
  • 8Department of Radiology, Dankook University Hospital, Dankook University College of Medicine, Cheonan 31116, Korea.
  • 9Department of Radiology, Kyungpook National University Hospital, Kyungpook National University College of Medicine, Daegu 41944, Korea.
  • 10National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea. jkjun@ncc.re.kr

Abstract


OBJECTIVE
To analyze the diagnostic accuracy and trend in screening mammography in Korea.
MATERIALS AND METHODS
We retrospectively linked the information from hospitals participating in the Alliance of Breast Cancer Screening in Korea (ABCS-K) and the database of the National Cancer Screening Program. We calculated performance indicators, including the recall rate, cancer detection rate (CDR), positive predictive value (PPV), sensitivity, specificity, false-positive rate (FPR), and interval cancer rate (ICR). Changes in the performance indicators were calculated as the annual percent change with 95% confidence interval (CI).
RESULTS
We enrolled 128756 cases from 10 hospitals from 2005 to 2010. The recall rate was 19.1% with a downward trend over time (-12.1% per year; 95% CI, -15.9 to -8.2). The CDR was 2.69 per 1000 examinations, without a significant trend. The PPV was 1.4% with an upward trend (20.8% per year; 95% CI, 15.2 to 26.7). The sensitivity was 86.5% without a significant trend, whereas the specificity was 81.1% with an upward trend (3.3% per year; 95% CI, 2.1 to 4.5). The FPR was 18.9% with a downward trend (-12.4% per year; 95% CI, -16.2 to -8.4). The ICR was 0.5 per 1000 negative examinations without a significant trend. There were institutional variations in the diagnostic accuracy and trend except for the CDR, sensitivity, and ICR.
CONCLUSION
The sensitivity and CDR of screening mammography in the ABCS-K from 2005 to 2010 were compatible with those for Western women. The recall rate, PPV and specificity, however, were suboptimal, although they showed significant improvements over this period. A further analysis is required to explain institutional variations.

Keyword

Breast; Breast neoplasms; Mammography; Mass screening

MeSH Terms

Adult
Aged
Breast Neoplasms/*diagnosis
Databases, Factual
Early Detection of Cancer
Female
Humans
*Mammography
Mass Screening
Middle Aged
Reproducibility of Results
Republic of Korea
Retrospective Studies
Sensitivity and Specificity

Figure

  • Fig. 1 Participating institutions of Alliance for Breast Cancer Screening in Korea.Alliance comprises 11 institutions: one as statistical coordinating center (A) and 10 participating in NCSP (B-K). NCSP = National Cancer Screening Program

  • Fig. 2 Study population of Alliance for Breast Cancer Screening in Korea.CAD = computer-aided detection, ID = identification number of hospital, MMG = mammography, NCSP = National Cancer Screening Program


Cited by  6 articles

Abbreviated MRI Protocols for Detecting Breast Cancer in Women with Dense Breasts
Shuang-Qing Chen, Min Huang, Yu-Ying Shen, Chen-Lu Liu, Chuan-Xiao Xu
Korean J Radiol. 2017;18(3):470-475.    doi: 10.3348/kjr.2017.18.3.470.

Analysis of Participant Factors That Affect the Diagnostic Performance of Screening Mammography: A Report of the Alliance for Breast Cancer Screening in Korea
Young Joong Kim, Eun Hye Lee, Jae Kwan Jun, Dong-Rock Shin, Young Mi Park, Hye-Won Kim, Youme Kim, Keum Won Kim, Hyo Soon Lim, Jeong Seon Park, Hye Jung Kim, Hye-Mi Jo,
Korean J Radiol. 2017;18(4):624-631.    doi: 10.3348/kjr.2017.18.4.624.

Effect of Different Types of Mammography Equipment on Screening Outcomes: A Report by the Alliance for Breast Cancer Screening in Korea
Bo Hwa Choi, Eun Hye Lee, Jae Kwan Jun, Keum Won Kim, Young Mi Park, Hye-Won Kim, You Me Kim, Dong Rock Shin, Hyo Soon Lim, Jeong Seon Park, Hye Jung Kim,
Korean J Radiol. 2019;20(12):1638-1645.    doi: 10.3348/kjr.2019.0006.

Interpretive Performance and Inter-Observer Agreement on Digital Mammography Test Sets
Sung Hun Kim, Eun Hye Lee, Jae Kwan Jun, You Me Kim, Yun-Woo Chang, Jin Hwa Lee, Hye-Won Kim, Eun Jung Choi,
Korean J Radiol. 2019;20(2):218-224.    doi: 10.3348/kjr.2018.0193.

Prevalence of Women with Dense Breasts in Korea: Results from a Nationwide Cross-sectional Study
Hye-Mi Jo, Eun Hye Lee, Kyungran Ko, Bong Joo Kang, Joo Hee Cha, Ann Yi, Hae Kyoung Jung, Jae Kwan Jun
Cancer Res Treat. 2019;51(4):1295-1301.    doi: 10.4143/crt.2018.297.

Estimating Age-Specific Mean Sojourn Time of Breast Cancer and Sensitivity of Mammographic Screening by Breast Density among Korean Women
Eunji Choi, Mina Suh, So-Youn Jung, Kyu-Won Jung, Sohee Park, Jae Kwan Jun, Kui Son Choi
Cancer Res Treat. 2023;55(1):136-144.    doi: 10.4143/crt.2021.962.


Reference

1. Jung KW, Won YJ, Kong HJ, Oh CM, Cho H, Lee DH, et al. Cancer statistics in Korea: incidence, mortality, survival, and prevalence in 2012. Cancer Res Treat. 2015; 47:127–141. PMID: 25761484.
Article
2. Kim Y, Jun JK, Choi KS, Lee HY, Park EC. Overview of the National Cancer screening programme and the cancer screening status in Korea. Asian Pac J Cancer Prev. 2011; 12:725–730. PMID: 21627372.
3. 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; 45:86–94. PMID: 23864841.
Article
4. Kang MH, Park EC, Choi KS, Suh M, Jun JK, Cho E. The National Cancer Screening Program for breast cancer in the Republic of Korea: is it cost-effective? Asian Pac J Cancer Prev. 2013; 14:2059–2065. PMID: 23679319.
Article
5. Choi NM, Lee AL, Lee HK, Yi BH, Cha JG. Mammogrphic screening provided by the National Health Insurance Corporation: a 1 year audit in a secondary medical institution. J Korean Soc Radiol. 2009; 60:51–55.
6. D'Orsi CJ, Bassett LW, Berg WA, Feig SA, Jackson VP, Kopan DB, et al. BI-RADS: mammography. In : D'Orsi CJ, Mendelson EB, Ikeda DM, editors. BI-RADS® breast imaging and reporting data system: breast imaging atlas. 4th ed. Reston: American College of Radiology;2003.
7. Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000; 19:335–351. PMID: 10649300.
Article
8. Ahn HS, Kim SM, Jang M, Yun BL, Kim B, Ko ES, et al. A new full-field digital mammography system with and without the use of an advanced post-processing algorithm: comparison of image quality and diagnostic performance. Korean J Radiol. 2014; 15:305–312. PMID: 24843234.
Article
9. Ko SY, Kim EK, Kim MJ, Moon HJ. Mammographic density estimation with automated volumetric breast density measurement. Korean J Radiol. 2014; 15:313–321. PMID: 24843235.
Article
10. Kim SA, Chang JM, Cho N, Yi A, Moon WK. Characterization of breast lesions: comparison of digital breast tomosynthesis and ultrasonography. Korean J Radiol. 2015; 16:229–238. PMID: 25741187.
Article
11. Lee EH, Jung SE. Current status of radiologists' part-time services in mammography. J Korean Soc Breast Screen. 2012; 9:142–147.
12. Sickles EA, D'Orsi CJ. ACR BI-RADS® follow-up and outcome monitoring. In : D'Orsi CJ, Sickles EA, Mendelson EB, Morris EA, editors. ACR BI-RADS® atlas breast imaging reporting and data system. Reston, VA: American College of Radiology;2013.
13. Mandelson MT, Oestreicher N, Porter PL, White D, Finder CA, Taplin SH, et al. Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst. 2000; 92:1081–1087. PMID: 10880551.
Article
14. Stomper PC, D'Souza DJ, DiNitto PA, Arredondo MA. Analysis of parenchymal density on mammograms in 1353 women 25-79 years old. AJR Am J Roentgenol. 1996; 167:1261–1265. PMID: 8911192.
Article
15. Suzuki A, Kuriyama S, Kawai M, Amari M, Takeda M, Ishida T, et al. Age-specific interval breast cancers in Japan: estimation of the proper sensitivity of screening using a population-based cancer registry. Cancer Sci. 2008; 99:2264–2267. PMID: 18795941.
Article
16. Lee EH, Jun JK, Kim YM, Bae K, Hwang KW, Choi BB, et al. Mammography boot camp to improve a quality of national cancer screening program in Korea: a report about a test run in 2012. J Korean Soc Breast Screen. 2013; 10:162–168.
17. Lee EH, Jun JK, Jung SE, Kim YM, Choi N. The efficacy of mammography boot camp to improve the performance of radiologists. Korean J Radiol. 2014; 15:578–585. PMID: 25246818.
Article
Full Text Links
  • KJR
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr