Korean J Radiol.  2017 ;18(4):624-631. 10.3348/kjr.2017.18.4.624.

Analysis of Participant Factors That Affect the Diagnostic Performance of Screening Mammography: A Report of the Alliance for Breast Cancer Screening in Korea

Affiliations
  • 1Department of Radiology, Konyang University Hospital, Konyang University College of Medicine, Daejeon 35365, Korea.
  • 2Department of Radiology, Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon 14584, Korea. grace@schmc.ac.kr
  • 3National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea.
  • 4Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung 25440, Korea.
  • 5Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Korea.
  • 6Department of Radiology, Wonkwang University Hospital, Wonkwang University School of Medicine, Iksan 54538, Korea.
  • 7Department of Radiology, Dankook University Hospital, Dankook University College of Medicine, Cheonan 31116, Korea.
  • 8Department of Radiology, Chonnam National University Hwasun Hospital, Chonnam National University College of Medicine, Hwasun 58128, Korea.
  • 9Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul 04763, Korea.
  • 10Department of Radiology, Kyungpook National University Medical Center, Kyungpook National University College of Medicine, Daegu 41404, Korea.

Abstract


OBJECTIVE
To analyze participant factors that affect the diagnostic performance of screening mammography.
MATERIALS AND METHODS
We enrolled 128756 cases from 10 hospitals between 2005 and 2010. We analyzed recall rate, cancer detection rate (CDR) per 1000 examinations, positive predictive value (PPV), sensitivity, specificity, false positive rate (FPR), and interval cancer rate (ICR) per 1000 negative examinations according to participant factors including age, breast density, and number of visit to the same institution, and adjusted for confounding variables.
RESULTS
Increasing age improved recall rates (27.4% in 40's, 17.5% in 50's, 11.1% in 60's, and 8.6% in 70's), CDR (2.7, 3.2, 2.0, and 2.4), PPV (1.0, 1.8, 1.8, and 2.8%), sensitivity (81.3, 88.8, 90.3, and 94.7%), specificity (72.7, 82.7, 89.0, and 91.7%), and FPR (27.3, 17.3, 11.0, and 8.4%) (p < 0.05). Higher breast density impaired recall rates (4.0% in P1, 9.0% in P2, 28.9% in P3, and 27.8% in P4), PPV (3.3, 2.3, 1.2, and 1.3%), specificity (96.1, 91.2, 71.4, and 72.5%), and FPR (3.9, 8.9, 28.6, and 27.6%) (p < 0.001). It also increased CDR (1.3, 2.1, 3.3, and 3.6) and ICR (0.2, 0.3, 0.6, and 1.6) (p < 0.05). Successive visits to the same institution improved recall rates (20.9% for one visit, 10.7% for two visits, 7.7% for more than three visits), PPV (1.6, 2.8, and 2.7%), specificity (79.4, 89.6, and 92.5%), and FPR (20.6, 10.4, and 7.5%) (p < 0.001).
CONCLUSION
Young age and dense breasts negatively affected diagnostic performance in mammography screening, whereas successive visits to the same institution had a positive effect. Examinee education for successive visits to the same institution would improve the diagnostic performance.

Keyword

Screening mammography; Cancer detection rates; Audit; National mammography database

MeSH Terms

Adult
Aged
Breast Density
Breast Neoplasms/*diagnosis/diagnostic imaging
Databases, Factual
Early Detection of Cancer
Female
Humans
Mammography
Middle Aged
Republic of Korea
Sensitivity and Specificity

Figure

  • Fig. 1 Final breast density classifications by age groups.Following BI-RADS criteria, breast density was classified as P1, almost entirely fatty; P2, scattered fibroglandular density; P3, heterogeneously dense; P4, extremely dense. BI-RADS = Breast Imaging-Reporting and Data System


Cited by  4 articles

Automated Breast Ultrasound Screening for Dense Breasts
Sung Hun Kim, Hak Hee Kim, Woo Kyung Moon
Korean J Radiol. 2020;21(1):15-24.    doi: 10.3348/kjr.2019.0176.

Age of Data in Contemporary Research Articles Published in Representative General Radiology Journals
Ji Hun Kang, Dong Hwan Kim, Seong Ho Park, Jung Hwan Baek
Korean J Radiol. 2018;19(6):1172-1178.    doi: 10.3348/kjr.2018.19.6.1172.

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.


Reference

1. Humphrey LL, Helfand M, Chan BK, Woolf SH. Breast cancer screening: a summary of the evidence for the U.S Preventive Services Task Force. Ann Intern Med. 2002; 137(5 Part 1):347–360. PMID: 12204020.
Article
2. Ballard-Barbash R, Taplin SH, Yankaskas BC, Ernster VL, Rosenberg RD, Carney PA, et al. Breast Cancer Surveillance Consortium: a national mammography screening and outcomes database. AJR Am J Roentgenol. 1997; 169:1001–1008. PMID: 9308451.
Article
3. Elmore JG, Jackson SL, Abraham L, Miglioretti DL, Carney PA, Geller BM, et al. Variability in interpretive performance at screening mammography and radiologists' characteristics associated with accuracy. Radiology. 2009; 253:641–651. PMID: 19864507.
Article
4. Carney PA, Sickles EA, Monsees BS, Bassett LW, Brenner RJ, Feig SA, et al. Identifying minimally acceptable interpretive performance criteria for screening mammography. Radiology. 2010; 255:354–361. PMID: 20413750.
Article
5. Carney PA, Miglioretti DL, Yankaskas BC, Kerlikowske K, Rosenberg R, Rutter CM, et al. Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med. 2003; 138:168–175. PMID: 12558355.
Article
6. Rosenberg RD, Yankaskas BC, Abraham LA, Sickles EA, Lehman CD, Geller BM, et al. Performance benchmarks for screening mammography. Radiology. 2006; 241:55–66. PMID: 16990671.
Article
7. Kerlikowske K, Grady D, Barclay J, Sickles EA, Ernster V. Effect of age, breast density, and family history on the sensitivity of first screening mammography. JAMA. 1996; 276:33–38. PMID: 8667536.
Article
8. Kerlikowske K, Zhu W, Hubbard RA, Geller B, Dittus K, Braithwaite D, et al. Outcomes of screening mammography by frequency, breast density, and postmenopausal hormone therapy. JAMA Intern Med. 2013; 173:807–816. PMID: 23552817.
Article
9. Sickles EA, Wolverton DE, Dee KE. Performance parameters for screening and diagnostic mammography: specialist and general radiologists. Radiology. 2002; 224:861–869. PMID: 12202726.
Article
10. Suh M, Choi KS, Park B, Lee YY, Jun JK, Lee DH, et al. Trends in cancer screening rates among Korean men and women: results of the Korean National Cancer Screening Survey, 2004-2013. Cancer Res Treat. 2016; 48:1–10. PMID: 25943324.
Article
11. Lee EH, Kim KW, Kim YJ, Shin DR, Park YM, Lim HS, et al. Performance of screening mammography: a report of the alliance for breast cancer screening in Korea. Korean J Radiol. 2016; 17:489–496. PMID: 27390540.
Article
12. Kolb TM, Lichy J, Newhouse JH. Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. Radiology. 2002; 225:165–175. PMID: 12355001.
Article
13. Laya MB, Larson EB, Taplin SH, White E. Effect of estrogen replacement therapy on the specificity and sensitivity of screening mammography. J Natl Cancer Inst. 1996; 88:643–649. PMID: 8627640.
Article
14. D'Orsi CJ, Bassett LW, Berg WA, Feig SA, Jackson VP, Kopans DB, et al. BI-RADS: mammography. In : D'Orsi CJ, Mendelson EB, Ikeda DM, editors. BIRADS® breast imaging reporting and data system: breast imaging atlas. 4th ed. Reston, VA: American College of Radiology;2003.
15. Park SK, Kang D, Kim Y, Yoo KY. Epidemiologic characteristics of the breast cancer in Korea. J Korean Med Assoc. 2009; 52:937–945.
Article
16. Murphy IG, Dillon MF, Doherty AO, McDermott EW, Kelly G, O'Higgins N, et al. Analysis of patients with false negative mammography and symptomatic breast carcinoma. J Surg Oncol. 2007; 96:457–463. PMID: 17929256.
Article
17. 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
18. Checka CM, Chun JE, Schnabel FR, Lee J, Toth H. The relationship of mammographic density and age: implications for breast cancer screening. AJR Am J Roentgenol. 2012; 198:W292–W295. PMID: 22358028.
Article
19. Tabar L, Fagerberg G, Chen HH, Duffy SW, Smart CR, Gad A, et al. Efficacy of breast cancer screening by age. New results from the Swedish Two-County Trial. Cancer. 1995; 75:2507–2517. PMID: 7736395.
20. Brekelmans CT, Collette HJ, Collette C, Fracheboud J, de Waard F. Breast cancer after a negative screen: follow-up of women participating in the DOM Screening Programme. Eur J Cancer. 1992; 28A:893–895. PMID: 1524918.
Article
21. 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
22. Boyd NF, Guo H, Martin LJ, Sun L, Stone J, Fishell E, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med. 2007; 356:227–236. PMID: 17229950.
Article
23. Harvey JA, Bovbjerg VE. Quantitative assessment of mammographic breast density: relationship with breast cancer risk. Radiology. 2004; 230:29–41. PMID: 14617762.
Article
24. Roelofs AA, Karssemeijer N, Wedekind N, Beck C, van Woudenberg S, Snoeren PR, et al. Importance of comparison of current and prior mammograms in breast cancer screening. Radiology. 2007; 242:70–77. PMID: 17185661.
Article
25. Wang WL, Hsu SD, Wang JH, Huang LC, Hsu WL. Survey of breast cancer mammography screening behaviors in Eastern Taiwan based on a health belief model. Kaohsiung J Med Sci. 2014; 30:422–427. PMID: 25002381.
Article
26. Moodi M, Rezaeian M, Mostafavi F, Sharifirad GR. Determinants of mammography screening behavior in Iranian women: a population-based study. J Res Med Sci. 2012; 17:750–759. PMID: 23798942.
27. Juon HS, Kim M, Shankar S, Han W. Predictors of adherence to screening mammography among Korean American women. Prev Med. 2004; 39:474–481. PMID: 15313086.
Article
28. 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
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