Skip to main content

Advertisement

Log in

Can Routine Imaging After Neoadjuvant Chemotherapy in Breast Cancer Predict Pathologic Complete Response?

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

Abstract

Background

This study evaluated breast imaging procedures for predicting pathologic complete response (pCR = ypT0) after neoadjuvant chemotherapy (NACT) for breast cancer to challenge surgery as a diagnostic procedure after NACT.

Methods

This retrospective, exploratory, monocenter study included 150 invasive breast cancers treated by NACT. The patients received magnetic resonance imaging (MRI), mammography (MGR), and ultrasound (US). The results were classified in three response subgroups according to response evaluation criteria in solid tumors. To incorporate specific features of MRI and MGR, an additional category [clinical near complete response (near-cCR)] was defined. Residual cancer in imaging and pathology was defined as a positive result. Negative predictive values (NPVs), false-negative rates (FNRs), and false-positive rates (FPRs) of all imaging procedures were analyzed for the whole cohort and for triple-negative (TN), HER2-positive (HER2+), and HER2-negative/hormone-receptor-positive (HER2−/HR+) cancers, respectively.

Results

In 46 cases (31 %), pCR (ypT0) was achieved. Clinical complete response (cCR) and near-cCR showed nearly the same NPVs and FNRs. The NPV was highest with 61 % for near-cCR in MRI and lowest with 44 % for near-cCR in MGR for the whole cohort. The FNRs ranged from 4 to 25 % according to different imaging methods. The MRI performance seemed to be superior, especially in TN cancers (NPV 94 %; FNR 5 %). The lowest FPR was 10 % in MRI, and the highest FPR was 44 % in US.

Conclusion

Neither MRI nor MGR or US can diagnose a pCR (ypT0) with sufficient accuracy to replace pathologic diagnosis of the surgical excision specimen.

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. Killelea BK, Yang VQ, Mougalian S, Horowitz NR, Pusztai L, Chagpar AB, et al. Neoadjuvant chemotherapy for breast cancer increases the rate of breast conservation: results from the national cancer database. J Am Coll Surg. 2015;220:1063–9. doi:10.1016/j.jamcollsurg.2015.02.011.

    Article  PubMed  Google Scholar 

  2. Fisher B, Bryant J, Wolmark N, Mamounas E, Brown A, Fisher ER, et al. Effect of preoperative chemotherapy on the outcome of women with operable breast cancer. J Clin Oncol. 1998;16:2672–85.

    CAS  PubMed  Google Scholar 

  3. Von Minckwitz G, Kummel S, Vogel P, Hanusch C, Eidtmann H, Hilfrich J, et al. Intensified neoadjuvant chemotherapy in early-responding breast cancer: phase III randomized GeparTrio study. J Natl Cancer Inst. 2008;100:552–62. doi:10.1093/jnci/djn089.

    Article  Google Scholar 

  4. von Minckwitz G, Untch M, Blohmer JU, Costa SD, Eidtmann H, Fasching PA, et al. Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol. 2012;30:1796–804. doi:10.1200/JCO.2011.38.8595.

    Article  Google Scholar 

  5. Bear HD, Anderson S, Smith RE, Geyer CE Jr, Mamounas EP, Fisher B, et al. Sequential preoperative or postoperative docetaxel added to preoperative doxorubicin plus cyclophosphamide for operable breast cancer: National Surgical Adjuvant Breast and Bowel Project Protocol B-27. J Clin Oncol. 2006;24:2019–27. doi:10.1200/jco.2005.04.1665.

    Article  CAS  PubMed  Google Scholar 

  6. Sardanelli F, Boetes C, Borisch B, Decker T, Federico M, Gilbert FJ, et al. Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer. 2010;46:1296–316. doi:10.1016/j.ejca.2010.02.015.

    Article  PubMed  Google Scholar 

  7. Heys SD, Chaturvedi S. Primary chemotherapy in breast cancer: the beginning of the end or the end of the beginning for the surgical oncologist? World J Surg Oncol. 2003;1:14. doi:10.1186/1477-7819-1-14.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Rea D, Tomlins A, Francis A. Time to stop operating on breast cancer patients with pathological complete response? Eur J Surg Oncol. 2013;39:924–30. doi:10.1016/j.ejso.2013.06.005.

    Article  CAS  PubMed  Google Scholar 

  9. Mamounas EP. Impact of neoadjuvant chemotherapy on locoregional surgical treatment of breast cancer. Ann Surg Oncol. 2015;22:1425–33. doi:10.1245/s10434-015-4406-6.

    Article  PubMed  Google Scholar 

  10. Tiezzi DG, Andrade JM, Ribeiro-Silva A, Zola FE, Marana HR, Tiezzi MG. HER-2, p53, p21, and hormonal receptors proteins expression as predictive factors of response and prognosis in locally advanced breast cancer treated with neoadjuvant docetaxel plus epirubicin combination. BMC Cancer. 2007;7:36. doi:10.1186/1471-2407-7-36.

    Article  PubMed Central  PubMed  Google Scholar 

  11. Goldstein NS, Decker D, Severson D, Schell S, Vicini F, Margolis J, et al. Molecular classification system identifies invasive breast carcinoma patients who are most likely and those who are least likely to achieve a complete pathologic response after neoadjuvant chemotherapy. Cancer. 2007;110:1687–96. doi:10.1002/cncr.22981.

    Article  CAS  PubMed  Google Scholar 

  12. Gianni L, Zambetti M, Clark K, Baker J, Cronin M, Wu J, et al. Gene expression profiles in paraffin-embedded core biopsy tissue predict response to chemotherapy in women with locally advanced breast cancer. J Clin Oncol. 2005;23:7265–77. doi:10.1200/JCO.2005.02.0818.

    Article  CAS  PubMed  Google Scholar 

  13. Chagpar AB, Middleton LP, Sahin AA, Dempsey P, Buzdar AU, Mirza AN, et al. Accuracy of physical examination, ultrasonography, and mammography in predicting residual pathologic tumor size in patients treated with neoadjuvant chemotherapy. Ann Surg. 2006;243:257–64. doi:10.1097/01.sla.0000197714.14318.6f.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Miller AB, Hoogstraten B, Staquet M, Winkler A. Reporting results of cancer treatment. Cancer. 1981;47:207–14.

    Article  CAS  PubMed  Google Scholar 

  15. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45:228–47.

    Article  CAS  PubMed  Google Scholar 

  16. Marinovich ML, Houssami N, Macaskill P, Sardanelli F, Irwig L, Mamounas EP, et al. Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy. J Natl Cancer Instit. 2013;105:321–33. doi:10.1093/jnci/djs528.

    Article  CAS  Google Scholar 

  17. National Collaborating Centre for Cancer. Early and locally advanced breast cancer: diagnosis and treatment (NICE Clinical Guidelines, no. 80.). National Collaborating Centre for Cancer (UK), Cardiff, 2009.

  18. Kaufmann M, von Minckwitz G, Mamounas EP, Cameron D, Carey LA, Cristofanilli M, et al. Recommendations from an international consensus conference on the current status and future of neoadjuvant systemic therapy in primary breast cancer. Ann Surg Oncol. 2011. doi:10.1245/s10434-011-2108-2.

    PubMed  Google Scholar 

  19. Senn H. St. Gallen consensus 2013: optimizing and personalizing primary curative therapy of breast cancer worldwide. Breast Care Basel Switzerland. 2013;8:101. doi:10.1159/000351222.

    Article  Google Scholar 

  20. Wockel A, Kreienberg R. First revision of the German S3 Guideline “diagnosis, therapy, and follow-up of breast cancer.” Breast Care. 2008;3:82–6. doi:10.1159/000127509.

    Article  PubMed Central  PubMed  Google Scholar 

  21. Lebeau A, Kreipe H, Dietel M, Schlake W, Kreienberg R. Breast cancer: current recommendations for pathologists on the basis of the S3 guidelines. Der Pathol. 2013;34:293–302; quiz 303–4. doi:10.1007/s00292-013-1763-4.

    Article  CAS  Google Scholar 

  22. Heil J, Buehler A, Golatta M, Rom J, Schipp A, Harcos A et al. Do patients with invasive lobular breast cancer benefit in terms of adequate change in surgical therapy from a supplementary preoperative breast MRI? Ann Oncol. 2012;23:98–104. doi:10.1093/annonc/mdr064.

    Article  CAS  PubMed  Google Scholar 

  23. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Clin Chem. 2003;49:7–18.

    Article  CAS  PubMed  Google Scholar 

  24. Dialani V, Chadashvili T, Slanetz PJ. Role of imaging in neoadjuvant therapy for breast cancer. Ann Surg Oncol. 2015;22:1416–24. doi:10.1245/s10434-015-4403-9.

    Article  PubMed  Google Scholar 

  25. McGuire KP, Toro-Burguete J, Dang H, Young J, Soran A, Zuley M, et al. MRI staging after neoadjuvant chemotherapy for breast cancer: does tumor biology affect accuracy? Ann Surg Oncol. 2011;18:3149–54. doi:10.1245/s10434-011-1912-z.

    Article  PubMed  Google Scholar 

  26. De Los Santos JF, Cantor A, Amos KD, Forero A, Golshan M, Horton JK et al. 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. 2013;119:1776–83. doi:10.1002/cncr.27995.

    Article  Google Scholar 

  27. Ciatto S, Houssami N, Apruzzese A, Bassetti E, Brancato B, Carozzi F, et al. Reader variability in reporting breast imaging according to BI-RADS assessment categories (the Florence experience. Breast Edinburgh Scotland. 2006;15:44–51. doi:10.1016/j.breast.2005.04.019.

    Article  CAS  Google Scholar 

Download references

Disclosures

There are no conflicts of interests (e.g. employment, consultancies, stock ownership, honoraria, paid expert testimony, patent applications / registrations, and grants or other funding) by any of the authors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joerg Heil MD.

Additional information

B. Schaefgen and M. Mati have contributed equally to this work.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schaefgen, B., Mati, M., Sinn, H.P. et al. Can Routine Imaging After Neoadjuvant Chemotherapy in Breast Cancer Predict Pathologic Complete Response?. Ann Surg Oncol 23, 789–795 (2016). https://doi.org/10.1245/s10434-015-4918-0

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-015-4918-0

Keywords

Navigation