Skip to main content
Log in

MRI prediction of neoadjuvant chemotherapy response is equivalent in patients with or without mammographic calcifications: a step towards adapting surgical approach?

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

Abstract

Objectives

Current surgical policy recommends comprehensive excision of tumorous calcifications in breast cancer patients following neoadjuvant chemotherapy (NAC) regardless of MRI outcomes, despite MRI defining tumor response superior to mammography. The current study examines MRI prediction of response in tumors with vs without calcifications, using post-NAC surgical pathology as the standard of reference.

Methods

Retrospective analysis of 114 NAC patients between 2011 and 2018 including demographics, mammography, 3 T-MRI, and pathology compared two sub-groups: without (n = 62) or with (n = 52) mammographic calcifications. In the calcification cohort, the mammographic extent of calcifications and MRI enhancement overlapped. MRI prediction of response to NAC was correlated with pathology. Two-tailed paired T and Fisher’s exact tests and Cohen’s kappa coefficient were applied for analysis.

Results

There was no significant difference between the two sub-groups regarding demographics. Tumors demonstrated equivalent features regarding size, lymph node involvement, and DCIS component. ER-negative/HER2-positive tumors more commonly exhibited calcifications (33% n = 17 calcified vs 13% n = 8 non-calcified; p < 0.05); triple negative pathology rarely calcified (6% n = 3 calcified vs 33% n = 20 non-calcified; p < 0.05). NME was more common with calcifications (62% n = 32 calcified vs 29% n = 18 non-calcified; p < 0.05) and mass enhancement without (90% n = 56 non-calcified vs 81% n = 42 calcified; p < 0.05). Both groups responded similarly to NAC (pCR = 37% non-calcified vs 38% calcified); response on MRI equally correlated with pathology (69% both subgroups; p = 0.988).

Conclusion

We propose utilizing post-NAC MRI findings rather than mammography in planning surgery, as MRI prediction is independent of the presence or absence of calcifications. Prospective studies to evaluate this approach are warranted.

Key Points

No difference was found in demographic, clinical, pathology, or imaging characteristics between patients with or without tumoral calcifications on mammography prior to neoadjuvant chemotherapy.

Residual mammographic calcifications are inadequate predictors of residual invasive disease. MRI accurately recognized complete response and correctly correlated with post-treatment surgical pathology in 69% of patients, regardless of the presence or absence of mammographic calcifications.

We propose utilizing post-NAC MRI findings rather than mammography in planning post-NAC surgery, as MRI prediction of response is independent of the presence or absence of calcifications.

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
Fig. 2

Similar content being viewed by others

Abbreviations

BCS:

Breast-conserving surgery

DCIS:

Ductal carcinoma in situ

IDC:

Invasive ductal carcinoma

ILC:

Invasive lobular carcinoma

LABC:

Locally advanced breast cancer

MRI:

Magnetic resonance imaging

NAC:

Neoadjuvant chemotherapy

NME:

Non-mass enhancement

pCR:

Pathologic complete response

rCR:

Radiologic complete response

References

  1. Mieog JS, van der Hage JA, van de Velde CJ (2007) Neoadjuvant chemotherapy for operable breast cancer. Br J Surg 94(10):1189–1200

  2. Untch M, Konecny GE, Paepke S, Minckwitz GV (2014) Current and future role of neoadjuvant therapy for breast cancer. Breast 23(5):526–537

  3. Mamtani A,Sevilimedu V, Le T et al (2022) Is local recurrence higher among patients who downstage to breast conservation after neoadjuvant chemotherapy? Cancer 128(3):471–478

  4. Mamtani A, Barrio AV, King TA et al (2016) How often does neoadjuvant chemotherapy avoid axillary dissection in patients with histologically confirmed nodal metastases? Results of a prospective study. Ann Surg Oncol 23(11):3467–3474

  5. Montagna G, Mamtani A, Knezevic A, Brogi E, Barrio AV, Morrow M (2020) Selecting node-positive patients for axillary downstaging with neoadjuvant chemotherapy. Ann Surg Oncol 27(11):4515–4522

  6. Kong X, Moran Ms, Zhang N, Haffty B, Yang Q (2011) Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients. Eur J Cancer 47(14):2084–2090

  7. Fowler AM, Mankoff DA, Joe BN (2017) Imaging neoadjuvant therapy response in breast cancer. Radiology 285(2):358–375

    Article  PubMed  Google Scholar 

  8. Hylton NM, Blume JD, Bernreuter Wk et al (2012) Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy–results from ACRIN 6657/I-SPY TRIAL. Radiology 263(3):663–672

  9. Romeo V, Accardo G, Perillo T et al (2021) Assessment and prediction of response to neoadjuvant chemotherapy in breast cancer: a comparison of imaging modalities and future perspectives. Cancers (Basel) 13(14)

  10. Mann RM, Kuhl CK, Kinkel K, Boetes C (2008) Breast MRI: guidelines from the European Society of Breast Imaging. Eur Radiol 18(7):1307–1318

  11. Slanetz PJ, Moy L, Baron P et al (2017) ACR Appropriateness Criteria(®) monitoring response to neoadjuvant systemic therapy for breast cancer. J Am Coll Radiol 14(11s):S462-s475

  12. Croshaw R, Shapiro-Wright H, Svensson E, Erb K, Julian T (2011) Accuracy of clinical examination, digital mammogram, ultrasound, and MRI in determining postneoadjuvant pathologic tumor response in operable breast cancer patients. Ann Surg Oncol 18(11):3160–3163

  13. de Los Santos J, Cantor A, Amos KD et al (2013) Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer Translational Breast Cancer Research Consortium trial 017. Cancer 119(10): 1776–83

  14. Choi WJ, Kim HH, Cha JH, Shin HJ, Chae EY, Yoon GY (2019) Complete response on MR imaging after neoadjuvant chemotherapy in breast cancer patients: factors of radiologic-pathologic discordance. Eur J Radiol 118:114–121

  15. Gu YL, Pan S-M, Ren J, Yang ZX, Jiang GQ (2017) Role of magnetic resonance imaging in detection of pathologic complete remission in breast cancer patients treated with neoadjuvant chemotherapy: a meta-analysis. Clin Breast Cancer 17(4):245–255

  16. Kim J, Han BK, Ko EY, Ko ES, Choi JS, Park KW (2022) Prediction of pathologic complete response on MRI in patients with breast cancer receiving neoadjuvant chemotherapy according to molecular subtypes. Eur Radiol 32:4056–4066

  17. Adrada BE, Huo L, Lane DL, Arribas EM, Resetkova E, Yang W (2015) Histopathologic correlation of residual mammographic microcalcifications after neoadjuvant chemotherapy for locally advanced breast cancer. Ann Surg Oncol 22(4):1111–1117

  18. Feliciano Y, Mamtani A, Morrow M, Stempel MM, Patil S, Jochelson MS (2017) Do calcifications seen on mammography after neoadjuvant chemotherapy for breast cancer always need to be excised? Ann Surg Oncol 24(6):1492–1498

  19. Li JJ, Chen C, Gu Y, et al (2014) The role of mammographic calcification in the neoadjuvant therapy of breast cancer imaging evaluation. PLoS One 9(2):e88853

  20. An YY, Kim SH, Kang BJ (2017) Residual microcalcifications after neoadjuvant chemotherapy for locally advanced breast cancer: comparison of the accuracies of mammography and MRI in predicting pathological residual tumor. World J Surg Oncol 15(1):198

    Article  PubMed  PubMed Central  Google Scholar 

  21. Slonimsky E, Azraq Y, Gomori JM, Fisch S, Kleinman TA, Sella T (2020) Intravenous line phase-wrap artifact at bilateral axial 3-T breast MRI: identification, analysis, and solution. Radiol Imaging Cancer 2(6):e200004

  22. Lakhani SR, E.I., Schnitt SJ, Tan PH, van de Vijver MJ, WHO classification of tumours of the breast 4th edition. 4 ed. WHO Classification of Tumours. 2012, Lyon, France: WHO IARC.

  23. Elston CW (1991) Ellis IO Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19(5):403–10

    Article  CAS  PubMed  Google Scholar 

  24. Sinha PS, Bendall S, Bates T (2000) Does routine grading of invasive lobular cancer of the breast have the same prognostic significance as for ductal cancers? Eur J Surg Oncol 26(8):733–737

    Article  CAS  PubMed  Google Scholar 

  25. Rakha EA, El-Sayed ME, Menon S, Green AR, Lee AH, Ellis IO (2008) Histologic grading is an independent prognostic factor in invasive lobular carcinoma of the breast. Breast Cancer Res Treat 111(1):121–127

  26. Morrow M, Khan AJ (2020) Locoregional management after neoadjuvant chemotherapy. J Clin Oncol 38(20):2281–2289

  27. Marinovich ML, Houssami N, Macaskill P et al (2013) Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy. J Natl Cancer Inst 105(5):321–333

  28. van la RF Parra, HM Kuerer 2016 Selective elimination of breast cancer surgery in exceptional responders: historical perspective and current trials. Breast Cancer Res 18(1):28

  29. Heil J, Kuerer HM, Pfob A et al (2020) Eliminating the breast cancer surgery paradigm after neoadjuvant systemic therapy: current evidence and future challenges. Ann Oncol 31(1):61–71

  30. Thompson BM, Chala LF, Shimizu C et al (2022) Pre-treatment MRI tumor features and post-treatment mammographic findings: may they contribute to refining the prediction of pathologic complete response in post-neoadjuvant breast cancer patients with radiologic complete response on MRI? Eur Radiol 32(3):1663–1675

  31. Kuhl CK (2009) Why do purely intraductal cancers enhance on breast MR images? Radiology 253(2):281–283

    Article  PubMed  Google Scholar 

  32. Kuhl CK, Schrading S, Bieling HB et al (2007) MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study. Lancet 370(9586):485–492

  33. Rauch GM, Kuerer HM, Adrada B et al (2018) Biopsy feasibility trial for breast cancer pathologic complete response detection after neoadjuvant chemotherapy: imaging assessment and correlation endpoints. Ann Surg Oncol 25(7):1953–1960

Download references

Acknowledgements

This study was performed as an MD dissertation to fulfill requirements at the Hadassah Hebrew University Medical School. We would like to thank Ms Tali Bdolah-Abram from the Hadassah Hebrew University Medical School for her statistical consultation and guidance.

Funding

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

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tamar Sella.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Tamar Sella.

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.

Statistics and biometry

We would like to thank Ms Tali Bdolah-Abram from the Hadassah Hebrew University Medical School for her statistical consultation and guidance.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained (Hadassah Hebrew University Medical Center Institutional Review Board, ref. 0299–18-HMO).

Study subjects or cohorts overlap

No overlap in study subjects or cohorts.

Methodology

retrospective

observational

performed at one institution

Additional information

Publisher's note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sella, T., Simor, B., Adler - Levy, Y. et al. MRI prediction of neoadjuvant chemotherapy response is equivalent in patients with or without mammographic calcifications: a step towards adapting surgical approach?. Eur Radiol 33, 7168–7177 (2023). https://doi.org/10.1007/s00330-023-09640-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-023-09640-x

Keywords

Navigation