Skip to main content

Advertisement

Log in

Ultrasound positive predictive values by BI-RADS categories 3–5 for solid masses: An independent reader study

  • Breast
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

We assessed multiple readers’ positive predictive values (PPVs) for ACR BI-RADS 3, 4a, 4b, 4c and 5 masses on ultrasound (US) pre- and post-proposed guidelines.

Methods

This retrospective, IRB-approved study included four American and four non-American readers who assigned BI-RADS categories for US images of 374 biopsy-proved masses. Readers were offered guidelines and re-classified the masses. We assessed readers’ abilities to achieve ACR benchmarks BI-RADS categories pre- and post-guidelines.

Results

PPVs increased with BI-RADS category. The PPVs pre- and post-guidelines were 6.0% and 4.4% for category 3, 27.3% and 30.5% for category 4a, 49.9% and 51.5% for category 4b, 69.0% and 67.4% for category 4c, and 79.3% and 80.1% for category 5. Readers achieved the PPV benchmark for category 4c, but not for categories 3, 4a, 4b and 5, with no significant improvement after guidelines. Regular BI-RADS 4 subcategory users missed benchmarks by less than non-regular users.

Conclusion

Pre- and post-guidelines, readers’ PPVs increased with BI-RADS categories, ACR PPV benchmarks were achieved in category 4c, missed in other categories, especially in the critical 4a subcategory, where the PPV was too high. BI-RADS 4 subcategory users performed better than non-users.

Key points

Readers failed to achieve benchmarks for BI-RADS 4 subcategories, especially 4a.

USA and Brazilian readers performed similarly in ACR BI-RADS 4 subcategorization.

Proposed guidelines did not improve overall, USA or Brazilian reader performance.

Regularly BI-RADS 4 subcategory users performed better than did non-users.

US features distinguished between benign and malignant, not BI-RADS 4 subcategories.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. American College of Radiology (2013) BI-RADS®—Ultrasound. version 2. In: Breast Imaging Reporting and Data System (BI-RADS) atlas, 5th edn. American College of Radiology, Reston

  2. Berg WA, Blume JD, Cormack JB et al (2008) Combined screening with ultrasound and mammography vs. mammography alone in women at elevated risk of breast cancer. JAMA 299:2151–2163

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Berg WA, Zhang Z, Lehrer D et al (2012) Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. JAMA 307:1394–1404

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Tagliafico AS, Calabrese M, Mariscotti G et al (2016) Adjunct screening with tomosynthesis or ultrasound in women with mammography-negative dense breasts: interim report of a prospective comparative trial. JCO 34:1882–1888

    Article  CAS  Google Scholar 

  5. Berg WA (2016) Current Status of Supplemental Screening in Dense Breasts. JCO 34:1840–1843

    Article  Google Scholar 

  6. Itoh A, Ueno E, Tohno E et al (2006) Breast disease: clinical application of US elastography for diagnosis. Radiology 239:341–350

    Article  PubMed  Google Scholar 

  7. Berg WA, Cosgrove DO, Dore CJ et al (2012) Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses. Radiology 262:435–449

    Article  PubMed  Google Scholar 

  8. Forsberg F, Piccoli CW, Merton DA, Palazzo JJ, Hall AL (2007) Breast lesions: imaging with contrast-enhanced subharmonic US--initial experience. Radiology 244:718–726

    Article  PubMed  Google Scholar 

  9. Oraevsky AA et al (2001) Laser optoacoustic imaging of breast cancer in vivo. Biomedical Optoacoustics II. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series :4256, p 6–15.

  10. Heijblom M et al (2015) Photoacoustic image patterns of breast carcinoma and comparisons with Magnetic Resonance Imaging and vascular stained histopathology. Sci Rep 5:1–15

    Article  Google Scholar 

  11. Stavros AT, Thickman D, Rapp CL, Dennis MA, Parker SH, Sisney GA (1995) Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology 196:123–134

    Article  CAS  PubMed  Google Scholar 

  12. Stavros AT (2004) Ultrasound of solid breast nodules: distinguishing benign from malignant. In: Stavros AT (ed) Breast Ultrasound. Williams &Wilkins, Philadelphia, pp 445–527

    Google Scholar 

  13. Jales RM, Sarian LO, Torresan R, Marussi EF, Álvares BR, Derchain S (2013) Simple rules for ultrasonographic subcategorization of BI-RADS®-US 4 breast masses. Eur J Radiol 82:1231–1235

    Article  PubMed  Google Scholar 

  14. Lee HJ, Kim EK, Kim MJ et al (2008) Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound. Eur J Radiol 65:293–298

    Article  PubMed  Google Scholar 

  15. Wanaporn B, Ornsiri A (2011) Accuracy of subcategories A, B, C in BI-RADS 4 lesions by combined mammography and breast ultrasound findings. Afr J Med Med Sci 2(3):728–733

  16. Lazarus E, Mainiero MB, Schepps B, Koelliker SL, Livingston LS (2006) BI-RADS Lexicon for US and mammography: Interobserver variability and positive predictive value. Radiology 239:385–391

    Article  PubMed  Google Scholar 

  17. Yoon JH, Kim MJ, Moon HJ, Kwak JY, Kim EK (2011) Subcategorization of ultrasonongraphic BI-RADS category 4: positive predictive value and clinical factors affecting it. Ultrasound Med Biol 37:693–699

    Article  PubMed  Google Scholar 

  18. Kim EK, Ko KH, Oh KK et al (2008) Clinical application of the BI-RADS final assessment to breast sonography in conjunction with mammography. AJR Am J Roentgenol 190:1209–1215

    Article  PubMed  Google Scholar 

  19. Berg WA, Blume JD, Cormack JB, Mendelson EB (2012) Training the ACRIN 6666 Investigators and effects of feedback on breast ultrasound interpretive performance and agreement in BI-RADS ultrasound feature analysis. AJR Am J Roentgenol 199:224–235

    Article  PubMed  PubMed Central  Google Scholar 

  20. Gong X, Xu Q, Xu Z et al (2011) Real time elastography for the differentiation of benign and malignant breast lesions: a meta-analysis. Breast Cancer Res Treat 130:11–18

    Article  PubMed  Google Scholar 

  21. Liu B, Zheng Y, Huang G et al (2016) Breast lesions; Quantitative diagnosis using ultrasound shear wave elastography – a systematic review and meta-analysis. Ultrasound Med Biol 42:835–847

    Article  PubMed  Google Scholar 

  22. Jørgensen KJ, Gøtzsche P (2009) Overdiagnosis in publicly organised mammography screening programmes: systematic review of incidence trends. BMJ 339:b2587

    Article  PubMed  PubMed Central  Google Scholar 

  23. Raftery J, Chorozoglou M (2011) Possible net harms of breast cancer screening: updated modeling of Forrest report. BMJ 343:d7627

    Article  PubMed  PubMed Central  Google Scholar 

  24. Welch HG, Frankel BA (2011) Likelihood that a woman with screen-detected breast cancer has had her ‘life saved’ by that screening. Arch Intern Med 171:2043–2046

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Thomas Stavros.

Ethics declarations

Guarantor

The scientific guarantor of this publication is A. Thomas Stavros, MD, FACR.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Funding

The authors state that this work has not received any funding.

Statistics and biometry

Jonathan Duggins and Sandy Ferber of Array Biostatistics, Inc provided statistical advice for this manuscript.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• cobservational

• multicenter study

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Stavros, A.T., Freitas, A.G., deMello, G.G.N. et al. Ultrasound positive predictive values by BI-RADS categories 3–5 for solid masses: An independent reader study. Eur Radiol 27, 4307–4315 (2017). https://doi.org/10.1007/s00330-017-4835-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-017-4835-7

Keywords

Navigation