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A Multi-institutional Analysis of Factors Influencing the Rate of Positive MRI Biopsy Among Women with Early-Stage Breast Cancer

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

Abstract

Background

The use of preoperative magnetic resonance imaging (MRI) for early-stage breast cancer (ESBC) is increasing, but its utility in detecting additional malignancy is unclear and delays surgical management (Jatoi and Benson in Future Oncol 9:347–353, 2013. https://doi.org/10.2217/fon.12.186, Bleicher et al. J Am Coll Surg 209:180–187, 2009. https://doi.org/10.1016/j.jamcollsurg.2009.04.010, Borowsky et al. J Surg Res 280:114–122, 2022. https://doi.org/10.1016/j.jss.2022.06.066). The present study sought to identify ESBC patients most likely to benefit from preoperative MRI by assessing the positive predictive values (PPVs) of ipsilateral and contralateral biopsies.

Methods

A retrospective cohort study included patients with cTis-T2N0-N1 breast cancer from two institutions during 2016–2021. A “positive” biopsy result was defined as additional cancer (PositiveCancer) or cancer with histology often excised (PositiveSurg). The PPV of MRI biopsies was calculated with respect to age, family history, breast density, and histology. Uni- and multivariate logistic regression determined whether combinations of age younger than 50 years, dense breasts, family history, and pure ductal carcinoma in situ (DCIS) histology led to higher biopsy yield.

Results

Of the included patients, 447 received preoperative MRI and 131 underwent 149 MRI-guided biopsies (96 ipsilateral, 53 contralateral [18 bilateral]). PositiveCancer for ipsilateral biopsy was 54.2%, and PositiveCancer for contralateral biopsy was 17.0%. PositiveSurg for ipsilateral biopsy was 62.5%, and PositiveSurg for contralateral biopsy was 24.5%. Among the contralateral MRI biopsies, patients younger than 50 years were less likely to have PositiveSurg (odds ratio, 0.02; 95% confidence interval, 0.00–0.84; p = 0.041). The combinations of age, density, family history, and histology did not lead to a higher biopsy yield.

Conclusion

Historically accepted factors for recommending preoperative MRI did not appear to confer a higher MRI biopsy yield. To prevent delays to surgical management, MRI should be carefully selected for individual patients most likely to benefit from additional imaging.

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References

  1. Katipamula R, Degnim AC, Hoskin T, et al. Trends in mastectomy rates at the Mayo Clinic Rochester: effect of surgical year and preoperative magnetic resonance imaging. J Clin Oncol. 2009;27:4082–8. https://doi.org/10.1200/JCO.2008.19.4225.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Zeng Z, Amin A, Roy A, et al. Preoperative magnetic resonance imaging use and oncologic outcomes in premenopausal breast cancer patients. NPJ Breast Cancer. 2020;6:49. https://doi.org/10.1038/s41523-020-00192-7.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Lehman CD, DeMartini W, Anderson BO, Edge SB. Indications for breast MRI in the patient with newly diagnosed breast cancer. J Natl Compr Canc Netw. 2009;7:193–201. https://doi.org/10.6004/jnccn.2009.0013.

    Article  PubMed  Google Scholar 

  4. Patani N, Mokbel K. The utility of MRI for the screening and staging of breast cancer. Int J Clin Pract. 2008;62:450–3. https://doi.org/10.1111/j.1742-1241.2007.01677.x.

    Article  CAS  PubMed  Google Scholar 

  5. Borowsky PA, Choi S, Moore JF, et al. The association of preoperative magnetic resonance imaging (MRI) with surgical management in patients with early-stage breast cancer. J Surg Res. 2022;280:114–22. https://doi.org/10.1016/j.jss.2022.06.066.

    Article  PubMed  Google Scholar 

  6. Turnbull L, Brown S, Harvey I, et al. Comparative effectiveness of MRI in breast cancer (COMICE) trial: a randomised controlled trial. Lancet. 2010;375:563–71. https://doi.org/10.1016/S0140-6736(09)62070-5.

    Article  PubMed  Google Scholar 

  7. Peters NH, van Esser S, van den Bosch MA, et al. Preoperative MRI and surgical management in patients with nonpalpable breast cancer: the MONET: randomised controlled trial. Eur J Cancer. 2011;47:879–86. https://doi.org/10.1016/j.ejca.2010.11.035.

    Article  CAS  PubMed  Google Scholar 

  8. Houssami N, Turner RM, Morrow M. Meta-analysis of preoperative magnetic resonance imaging (MRI) and surgical treatment for breast cancer. Breast Cancer Res Treat. 2017;165:273–83. https://doi.org/10.1007/s10549-017-4324-3.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Jatoi I, Benson JR. The case against routine preoperative breast MRI. Future Oncol. 2013;9:347–53. https://doi.org/10.2217/fon.12.186.

    Article  CAS  PubMed  Google Scholar 

  10. Bleicher RJ, Ciocca RM, Egleston BL, Sesa L, Evers K, Sigurdson ER, Morrow M. Association of routine pretreatment magnetic resonance imaging with time to surgery, mastectomy rate, and margin status. J Am Coll Surg. 2009;209:180–7. https://doi.org/10.1016/j.jamcollsurg.2009.04.010.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Bleicher RJ, Ruth K, Sigurdson ER, et al. Time to surgery and breast cancer survival in the United States [published correction appears in JAMA Oncol. 2016;2:1244]. JAMA Oncol. 2016;2:330–9. https://doi.org/10.1001/jamaoncol.2015.4508.

  12. Gervais MK, Maki E, Schiller DE, Crystal P, McCready DR. Preoperative MRI of the breast and ipsilateral breast tumor recurrence: long-term follow up. J Surg Oncol. 2017;115:231–7. https://doi.org/10.1002/jso.24520.

    Article  CAS  PubMed  Google Scholar 

  13. Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap): a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–81.

    Article  PubMed  Google Scholar 

  14. Harris PA, Taylor R, Minor BL, et al. The REDCap consortium: building an international community of software partners. J Biomed Inform. 2019;95:103208.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Susnik B, Schneider L, Swenson KK, et al. Predictive value of breast magnetic resonance imaging in detecting mammographically occult contralateral breast cancer: can we target women more likely to have contralateral breast cancer? J Surg Oncol. 2018;118:221–7. https://doi.org/10.1002/jso.25130.

    Article  PubMed  Google Scholar 

  16. Onega T, Zhu W, Kerlikowske K, et al. Preoperative MRI in breast cancer: effect of breast density on biopsy rate and yield. Breast Cancer Res Treat. 2022;191:177–90. https://doi.org/10.1007/s10549-021-06418-x.

    Article  PubMed  Google Scholar 

  17. Monticciolo DL. Practical considerations for the use of breast MRI for Breast Cancer Evaluation in the Preoperative setting. Acad Radiol. 2017;24:1447–50. https://doi.org/10.1016/j.acra.2017.05.012.

    Article  PubMed  Google Scholar 

  18. Barker SJ, Anderson E, Mullen R. Magnetic resonance imaging for invasive lobular carcinoma: is it worth it? Gland Surg. 2019;8:237–41. https://doi.org/10.21037/gs.2018.10.04.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Wecsler J, Jeong YJ, Raghavendra AS, et al. Factors associated with MRI detection of occult lesions in newly diagnosed breast cancers. J Surg Oncol. 2020;121:589–98. https://doi.org/10.1002/jso.25855.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Schell AM, Rosenkranz K, Lewis PJ. Role of breast MRI in the preoperative evaluation of patients with newly diagnosed breast cancer. AJR Am J Roentgenol. 2009;192:1438–44. https://doi.org/10.2214/ajr.08.1551.

    Article  PubMed  Google Scholar 

  21. Lehman CD, Gatsonis C, Kuhl CK, et al. MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer. N Engl J Med. 2007;356:1295–303. https://doi.org/10.1056/NEJMoa065447.

    Article  CAS  PubMed  Google Scholar 

  22. Wu WP, Chen CY, Lee CW, et al. Impact of preoperative breast magnetic resonance imaging on contralateral synchronous and metachronous breast cancer detection: a case-control comparison study with 1468 primary operable breast cancer patients with mean follow-up of 102 months. PLoS ONE. 2021;16:e0260093. https://doi.org/10.1371/journal.pone.0260093.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Lee J, Tanaka E, Eby PR, et al. Preoperative breast MRI: surgeons’ patient selection patterns and potential bias in outcomes analyses. AJR Am J Roentgenol. 2017;208:923–32. https://doi.org/10.2214/AJR.16.17038.

    Article  PubMed  Google Scholar 

  24. Stout NK, Nekhlyudov L, Li L, et al. Rapid increase in breast magnetic resonance imaging use: trends from 2000 to 2011. JAMA Intern Med. 2014;174:114–21. https://doi.org/10.1001/jamainternmed.2013.11958.

    Article  PubMed  PubMed Central  Google Scholar 

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Correspondence to Kristin E. Rojas MD.

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Disclosure

Dr. Kristin Rojas received speaker’s honoraria from Pacira Pharmaceuticals, served on the advisory board for Merck, and was a consultant for Roche Diagnostic Solutions. Dr. Patrick Borgen received honoraria from Pacira Pharmaceuticals. The remaining authors had no conflicts of interest.

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Choi, S., Borowsky, P.A., Morgan, O. et al. A Multi-institutional Analysis of Factors Influencing the Rate of Positive MRI Biopsy Among Women with Early-Stage Breast Cancer. Ann Surg Oncol 31, 3141–3153 (2024). https://doi.org/10.1245/s10434-024-14954-1

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