Skip to main content

Advertisement

Log in

Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting

  • Breast Oncology
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Background

Abbreviated magnetic resonance imaging (Ab-MRI) has been evaluated for elevated breast cancer risk or dense breasts but has not been evaluated across all risk profiles.

Methods

Patients selected underwent Ab-MRI from February 2020 to September 2021. Women were older than aged 30 years, up to date with screening mammography, and paid $299 cash.

Results

A total of 93 patients were identified with a mean age of 52 years; 92.5% were Caucasian, 0% black, and 97.9% were from high socioeconomic status. Mean Gail score was 14.2, and 83.3% had a lifetime risk of breast cancer <20%. Reasons for Ab-MRI: dense breasts (36.6%); family history (24.7%); palpable mass (12.9%). Providers ordering: OBGYN (49.5%); breast surgeon (39.1%); primary care (6.6%). Thirteen biopsies (14%) detected one breast cancer. 31.1% had a change in follow-up screening: 58.6% 6-month MRI, 20.7% 6-month mammogram, and 10.3% 6-month ultrasound. Negative predictive value was 100% (95% confidence interval [CI]: 95-100%, p < 0.0001). Sensitivity was 100% (95% CI: 2.5-100%, p < 0.0001), and specificity was 87% (95% CI: 78.3-93.1%, p < 0.0001) compared with 77.6% and 98.8% for mammography. Only one cancer was detected: cost of $27,807 plus cost of 13 MRI or ultrasound (US)-guided biopsies and additional follow-up imaging. Historically 20% of abnormalities detected on full MRI are malignant; however, 7.7% of ab-MRI abnormalities were malignant

Conclusions

One third of women were recommended a change in follow-up, which predominantly included a 6-month MRI. Ab-MRI may introduce average risk women to unnecessary follow-up and increased biopsies with a lower cancer detection rate. Ab-MRI should be evaluated closely before implementation.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. Løberg M, Lousdal ML, Bretthauer M, Kalager M. Benefits and harms of mammography screening. Breast Cancer Res. 2015;17:63. https://doi.org/10.1186/s13058-015-0525-z.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Leithner D, Wengert GJ, Helbich TH, et al. Clinical role of breast MRI now and going forward. Clin Radiol. 2018;73(8):700–14. https://doi.org/10.1016/j.crad.2017.10.021.

    Article  CAS  PubMed  Google Scholar 

  3. Kuhl CK, Schrading S. More Is more: semiannual breast MRI screening in BRCA1 mutation carriers. Clin Cancer Res. 2019;25(6):1693–5. https://doi.org/10.1158/1078-0432.CCR-18-3145.

    Article  PubMed  Google Scholar 

  4. Mango VL, Goel A, Mema E, Kwak E, Ha R. Breast MRI screening for average-risk women: a monte carlo simulation cost-benefit analysis. J Magn Reson Imaging. 2019;49(7):e216–21. https://doi.org/10.1002/jmri.26334.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Kuhl CK, Schrading S, Strobel K, Schild HH, Hilgers RD, Bieling HB. Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection-a novel approach to breast cancer screening with MRI. J Clin Oncol. 2014;32(22):2304–10. https://doi.org/10.1200/JCO.2013.52.5386.

    Article  PubMed  Google Scholar 

  6. Comstock CE, Gatsonis C, Newstead GM, et al. Comparison of Abbreviated breast MRI vs. digital breast tomosynthesis for breast cancer detection among women with dense breasts undergoing screening. JAMA. 2020;323(8):746–56. https://doi.org/10.1001/jama.2020.0572.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Choi BH, Choi N, Kim MY, Yang JH, Yoo YB, Jung HK. Correction to: usefulness of abbreviated breast MRI screening for women with a history of breast cancer surgery. Breast Cancer Res Treat. 2018;167(2):503. https://doi.org/10.1007/s10549-017-4568-y.

    Article  PubMed  Google Scholar 

  8. Kuhl CK. The changing world of breast cancer: a radiologist’s perspective. Plast Surg Nurs. 2016;36(1):31–49. https://doi.org/10.1097/PSN.0000000000000128.

    Article  PubMed  Google Scholar 

  9. Geach R, Jones LI, Harding SA, et al. The potential utility of abbreviated breast MRI (FAST MRI) as a tool for breast cancer screening: a systematic review and meta-analysis. Clin Radiol. 2021;76(2):154.e11-154.e22. https://doi.org/10.1016/j.crad.2020.08.032.

    Article  CAS  Google Scholar 

  10. 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(1):165–75. https://doi.org/10.1148/radiol.2251011667.

    Article  PubMed  Google Scholar 

  11. Siu AL. Screening for breast cancer: U.S. preventive services task force recommendation statement. Ann Intern Med. 2016;164(4):279. https://doi.org/10.7326/M15-2886.

    Article  PubMed  Google Scholar 

  12. Nakhleh RE, Zarbo RJ. Surgical pathology-based outcomes assessment of breast cancer early diagnosis: a college of American Pathologists Q-probes study in 199 institutions. Arch Pathol Lab Med. 2001;125(3):325–31. https://doi.org/10.5858/2001-125-0325-SPBOAO.

    Article  CAS  PubMed  Google Scholar 

  13. Cserni G, Chmielik E, Cserni B, Tot T. The new TNM-based staging of breast cancer. Virchows Arch. 2018;472(5):697–703. https://doi.org/10.1007/s00428-018-2301-9.

    Article  PubMed  Google Scholar 

  14. Gao LY, Gu Y, Tian JW, et al. Gail Model Improves the Diagnostic Performance of the Fifth Edition of Ultrasound BI-RADS for Predicting Breast Cancer: A Multicenter Prospective Study. Acad Radiol. 2020. https://doi.org/10.1016/j.acra.2020.12.002.

    Article  PubMed  Google Scholar 

  15. Partridge SC, Nissan N, Rahbar H, Kitsch AE, Sigmund EE. Diffusion-weighted breast MRI: Clinical applications and emerging techniques. J Magn Reson Imaging. 2017;45(2):337–55. https://doi.org/10.1002/jmri.25479.

    Article  PubMed  Google Scholar 

  16. Partovi S, Sin D, Lu Z, et al. Fast MRI breast cancer screening - Ready for prime time. Clin Imaging. 2020;60(2):160–8. https://doi.org/10.1016/j.clinimag.2019.10.013.

    Article  PubMed  Google Scholar 

  17. Kind AJ, Jencks S, Brock J, et al. Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study. Ann Intern Med. 2014;161(11):765–74. https://doi.org/10.7326/M13-2946.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Freedman RA, Kouri EM, West DW, Keating NL. Racial/ethnic disparities in knowledge about one’s breast cancer characteristics. Cancer. 2015;121(5):724–32. https://doi.org/10.1002/cncr.28977.

    Article  PubMed  Google Scholar 

  19. Smith KL, Isaacs C. Management of women at increased risk for hereditary breast cancer. Breast Dis. 2006;2006–2007(27):51–67. https://doi.org/10.3233/bd-2007-27104.

    Article  Google Scholar 

  20. Vlahiotis A, Griffin B, Stavros AT, Margolis J. Analysis of utilization patterns and associated costs of the breast imaging and diagnostic procedures after screening mammography. Clinicoecon Outcomes Res. 2018;10:157–67. https://doi.org/10.2147/CEOR.S150260.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Vourtsis A, Berg WA. Breast density implications and supplemental screening. Eur Radiol. 2019;29(4):1762–77. https://doi.org/10.1007/s00330-018-5668-8.

    Article  PubMed  Google Scholar 

  22. Jost G, Frenzel T, Boyken J, Lohrke J, Nischwitz V, Pietsch H. Long-term excretion of gadolinium-based contrast agents: linear versus macrocyclic agents in an experimental rat model. Radiology. 2019;290(2):340–8. https://doi.org/10.1148/radiol.2018180135.

    Article  PubMed  Google Scholar 

  23. Kanda T, Ishii K, Kawaguchi H, Kitajima K, Takenaka D. High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology. 2014;270(3):834–41. https://doi.org/10.1148/radiol.13131669.

    Article  PubMed  Google Scholar 

Download references

Acknowledgment

Thank you to the breast cancer team at Main Line Health for making this study possible and always working to improve the care of our breast cancer patients. There was grant support for this work from the Sharpe Strumia Foundation Grant number SSRF2021-11.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kaitlyn Kennard MD.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kennard, K., Wang, O., Kjelstrom, S. et al. Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting. Ann Surg Oncol 29, 6215–6221 (2022). https://doi.org/10.1245/s10434-022-12194-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-022-12194-9

Navigation