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Predictive value of BI-RADS classification for breast imaging in women under age 50

Abstract

In this study, we assessed the positive-predictive value (PPV) of mammography and/or ultrasonography in women age 50 based on recommendations for biopsies and final pathology results. We performed a retrospective analysis of all mammography and ultrasonography reports issued from 9/2005 to 1/2007 resulting in biopsy among women aged 18–50 at a large county hospital. Data included demographics, imaging modality, breast density, type of finding, BI-RADS, and final pathology. Results were compared to women aged >50 at the same institution. Four hundred and seventy-five biopsies in 395 patients were reviewed. The PPV of BI-RADS 3 (n = 11) was 9.1%, BI-RADS 4 (n = 440) 5.9%, and BI-RADS 5 (n = 24) 66.7%. Forty three (9%) were malignant, of which 31 (6.5%) were invasive carcinomas and 12 (2.5%) were noninvasive. None of the biopsies on patients aged <30 were malignant. Recommended biopsies based on mammography alone were malignant in 20.2% (20/99) compared to 3.4% (7/205) for ultrasonography alone, and 8.9% (15/168) for both mammography and ultrasonography. Suspicious calcifications were malignant in 25% compared to 6.8% for masses/nodules and 3.6% for cysts. Lesions larger than 2 cm are more likely to be malignant (11.8%) than lesions between 1 and 2 cm (3.6%) or below 1 cm (4.3%). The PPV of the current screening modalities diminishes markedly in women under the age of 50 and even more below the age of 40. Calcifications and masses larger than 2 cm should be biopsied, but the current BI-RADS criteria may benefit from revision for other findings in young patients.

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References

  1. National Cancer Institute: surveillance epidemiology and end results (2010). Available: http://seer.cancer.gov/statistics/. Accessed 25 Apr 2010

  2. United States preventive services task force: screening for breast cancer (2009). Available: http://www.uspreventiveservicestaskforce.org/uspstf/uspsbrca.htm. Accessed 25 Apr 2010

  3. Fajardo LL, Hillman BJ, Frey C (1988) Correlation between breast parenchymal patterns and mammographers’ certainty of diagnosis. Invest Radiol 23(7):505–508

    PubMed  Article  CAS  Google Scholar 

  4. Mandelson MT, Oestreicher N, Porter PL et al (2000) Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst 92(13):1081–1087

    PubMed  Article  CAS  Google Scholar 

  5. van Gils CH, Otten JD, Verbeek AL, Hendriks JH, Holland R (1998) Effect of mammographic breast density on breast cancer screening performance: a study in Nijmegen, The Netherlands. J Epidemiol Community Health 52(4):267–271

    PubMed  Article  Google Scholar 

  6. Blanchard K, Colbert JA, Kopans DB et al (2006) Long-term risk of false-positive screening results and subsequent biopsy as a function of mammography use. Radiology 240(2):335–342

    PubMed  Article  Google Scholar 

  7. Buchberger W, DeKoekkoek-Doll P, Springer P, Obrist P, Dunser M (1999) Incidental findings on sonography of the breast: clinical significance and diagnostic workup. Am J Roentgenol 173(4):921–927

    CAS  Google Scholar 

  8. Buchberger W, Niehoff A, Obrist P, DeKoekkoek-Doll P, Dunser M (2000) Clinically and mammographically occult breast lesions: detection and classification with high-resolution sonography. Semin Ultrasound CT MR 21(4):325–336

    PubMed  Article  CAS  Google Scholar 

  9. Skaane P, Olsen JB, Sager EM et al (1999) Variability in the interpretation of ultrasonography in patients with palpable noncalcified breast tumors. Acta Radiol 40(2):169–175

    PubMed  Article  CAS  Google Scholar 

  10. Kolb TM, Lichy J, Newhouse JH (2002) 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 225(1):165–175

    PubMed  Article  Google Scholar 

  11. Leconte I, Feger C, Galant C et al (2003) Mammography and subsequent whole-breast sonography of nonpalpable breast cancers: the importance of radiologic breast density. Am J Roentgenol 180(6):1675–1679

    Google Scholar 

  12. Berg WA, Arnoldus CL, Teferra E, Bhargavan M (2001) Biopsy of amorphous breast calcifications: pathologic outcome and yield at stereotactic biopsy. Radiology 221(2):495–503

    PubMed  Article  CAS  Google Scholar 

  13. Harvey JA, Bovbjerg VE (2004) Quantitative assessment of mammographic breast density: relationship with breast cancer risk. Radiology 230(1):29–41

    PubMed  Article  Google Scholar 

  14. Carlile T, Kopecky KJ, Thompson DJ et al (1985) Breast cancer prediction and the Wolfe classification of mammograms. JAMA 254(8):1050–1053

    PubMed  Article  CAS  Google Scholar 

  15. Hainline S, Myers L, McLelland R, Newell J, Grufferman S, Shingleton W (1978) Mammographic patterns and risk of breast cancer. Am J Roentgenol 130(6):1157–1158

    CAS  Google Scholar 

  16. Whitehead J, Carlile T, Kopecky KJ et al (1985) Wolfe mammographic parenchymal patterns. A study of the masking hypothesis of Egan and Mosteller. Cancer 56(6):1280–1286

    PubMed  Article  CAS  Google Scholar 

  17. Byrne C, Schairer C, Wolfe J et al (1995) Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst 87(21):1622–1629

    PubMed  Article  CAS  Google Scholar 

  18. Sickles EA, Miglioretti DL, Ballard-Barbash R et al (2005) Performance benchmarks for diagnostic mammography. Radiology 235(3):775–790

    PubMed  Article  Google Scholar 

  19. Salzmann P, Kerlikowske K, Phillips K (1997) Cost-effectiveness of extending screening mammography guidelines to include women 40 to 49 years of age. Ann Intern Med 127(11):955–965

    PubMed  CAS  Google Scholar 

  20. Burnside E, Belkora J, Esserman L (2001) The impact of alternative practices on the cost and quality of mammographic screening in the United States. Clin Breast Cancer 2(2):145–152

    PubMed  Article  CAS  Google Scholar 

  21. Breast cancer screening. (1977) NIH Consensus Statement 1:5–8

    Google Scholar 

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All authors declare that they have no conflicts of interest.

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Correspondence to Eli Avisar.

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Kennedy, G., Markert, M., Alexander, J.R. et al. Predictive value of BI-RADS classification for breast imaging in women under age 50. Breast Cancer Res Treat 130, 819–823 (2011). https://doi.org/10.1007/s10549-011-1669-x

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  • DOI: https://doi.org/10.1007/s10549-011-1669-x

Keywords

  • BIRADS
  • PPV
  • Radiology
  • Mammogram
  • Mammography
  • Biopsy
  • PPV
  • Positive-predictive value