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Prospective Trial of Breast MRI Versus 2D and 3D Ultrasound for Evaluation of Response to Neoadjuvant Chemotherapy

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

Abstract

Background

Preoperative imaging to assess response to neoadjuvant chemotherapy in breast cancer is routine but no single imaging modality is standard of practice. Our hypothesis is that ultrasound (US) is comparable to magnetic resonance imaging (MRI) in the prediction of residual disease.

Methods

A single-institution, Institutional Review Board-approved prospective trial of primary invasive ductal breast cancer patients receiving neoadjuvant chemotherapy enrolled women from 2008 to 2012. Two-dimensional (2D) and three-dimensional (3D) US, as well as MRI images of pre- and post-neoadjuvant tumors were obtained. Skin involvement or inadequate images were excluded. Residual tumor on imaging was compared with surgical pathology. Differences of tumor volume on imaging and pathology were compared using the non-parametric Wilcoxon signed-rank test. US to MRI agreement was determined by the kappa coefficient. Tumor volumes in estrogen receptor (ER), progesterone receptor (PR), and Her2neu subgroups were compared using the Kruskal–Wallis test. ER/PR staining <5 % was considered negative; Her2neu status was determined by in situ hybridization.

Results

Forty-two patients were enrolled in the study; 39 had evaluable post-treatment data. Four patients were Her2neu positive, and 17 (46 %) patients had triple-negative tumors. Among 11 (28 %) patients with pathologic complete response (pCR), US correctly predicted pCR in six (54.5 %) patients compared with eight (72.7 %) patients when MRI was used. This is a substantial agreement between US and MRI in predicting pCR (kappa = 0.62). There was no difference between 2D and 3D US modalities. For the 39 patients, US and MRI had no significant difference in volume estimation of pathology, even stratified by receptor status.

Conclusion

The estimation of residual breast tumor volume by US and MRI achieves similar results, including prediction of pCR.

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References

  1. 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.

    Article  PubMed Central  PubMed  Google Scholar 

  2. Chen JH, Feig B, Agrawal G, Yu H, Carpenter PM, Mehta RS, et al. MRI evaluation of pathologically complete response and residual tumors in breast cancer after neoadjuvant chemotherapy. Cancer. 2008;112:17–26.

    Article  PubMed  Google Scholar 

  3. Chou CP, Wu MT, Chang HT, Lo YS, Pan HB, Degani H, et al. Monitoring breast cancer response to neoadjuvant systemic chemotherapy using parametric contrast-enhanced MRI: a pilot study. Acad Radiol. 2007;14:561–73.

    Article  PubMed  Google Scholar 

  4. Herrada J, Iyer RB, Atkinson EN, Sneige N, Buzdar AU, Hortobagyi GN. Relative value of physical examination, mammography, and breast sonography in evaluating the size of the primary tumor and regional lymph node metastases in women receiving neoadjuvant chemotherapy for locally advanced breast carcinoma. Clin Cancer Res. 1997;3:1565–9.

    CAS  PubMed  Google Scholar 

  5. Kwong MS, Chung GG, Horvath LJ, Ward BA, Hsu AD, Carter D, et al. Postchemotherapy MRI overestimates residual disease compared with histopathology in responders to neoadjuvant therapy for locally advanced breast cancer. Cancer J. 2006;12:212–21.

    Article  PubMed  Google Scholar 

  6. Peintinger F, Kuerer HM, Anderson K, Boughey JC, Meric-Bernstam F, Singletary SE, et al. Accuracy of the combination of mammography and sonography in predicting tumor response in breast cancer patients after neoadjuvant chemotherapy. Ann Surg Oncol. 2006;13:1443–9.

    Article  PubMed  Google Scholar 

  7. Pickles MD, Lowry M, Manton DJ, Gibbs P, Turnbull LW. Role of dynamic contrast enhanced MRI in monitoring early response of locally advanced breast cancer to neoadjuvant chemotherapy. Breast Cancer Res Treat. 2005;91:1–10.

    Article  CAS  PubMed  Google Scholar 

  8. Rosen EL, Blackwell KL, Baker JA, Soo MS, Bentley RC, Yu D, et al. Accuracy of MRI in the detection of residual breast cancer after neoadjuvant chemotherapy. Am J Roentgenol. 2003;181:1275–82.

    Article  PubMed  Google Scholar 

  9. Yeh E, Slanetz P, Kopans DB, Rafferty E, Georgian-Smith D, Moy L, et al. Prospective comparison of mammography, sonography, and MRI in patients undergoing neoadjuvant chemotherapy for palpable breast cancer. Am J Roentgenol. 2005;184:868–77.

    Article  PubMed  Google Scholar 

  10. WHO Handbook for reporting results of cancer treatment. Geneva: World Health Organization; 1979.

  11. Therasse P, Arbuck SG, Eisenhauer EA, Wanders J, Kaplan RS, Rubinstein L, et al. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst. 2000;92:205–16.

    Article  CAS  PubMed  Google Scholar 

  12. Jaffe CC. Measures of response: RECIST, WHO, and new alternatives. J Clin Oncol. 2006;24:3245–51.

    Article  PubMed  Google Scholar 

  13. Partridge SC, Gibbs JE, Lu Y, Esserman LJ, Tripathy D, Wolverton DS, et al. MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival. AJR Am J Roentgenol. 2005;184:1774–81.

    Article  Google Scholar 

  14. Fenster A, Downey DB. Three-dimensional ultrasound imaging. Annu Rev Biomed Eng. 2000;2:457–75.

    Article  CAS  PubMed  Google Scholar 

  15. Fenster A, Downey DB. Three-dimensional ultrasound imaging and its use in quantifying organ and pathology volumes. Anal Bioanal Chem. 2003;377:982–9.

    Article  CAS  PubMed  Google Scholar 

  16. Stephenson SR. 3D and 4D sonography history and theory. J Diagn Med Sonogr. 2005;21:392–99.

    Article  Google Scholar 

  17. Schlossbauer T, Reiser M, Hellerhoff K. Importance of mammography, sonography and MRI for surveillance of neoadjuvant chemotherapy for locally advanced breast cancer [in German]. Radiologe. 2010;50:1008–13.

    Article  CAS  PubMed  Google Scholar 

  18. Chen JH, Bahri S, Mehta RS, Kuzucan A, Yu HJ, Carpenter PM, et al. Breast cancer: evaluation of response to neoadjuvant chemotherapy with 3.0-T MR imaging. Radiology. 2011;261:735–43.

    Article  PubMed Central  PubMed  Google Scholar 

  19. Ko ES, Han BK, Kim RB, Ko EY, Shin JH, Hahn SY, et al. Analysis of factors that influence the accuracy of magnetic resonance imaging for predicting response after neoadjuvant chemotherapy in locally advanced breast cancer. Ann Surg Oncol. 2013;20:2562–8.

    Article  PubMed  Google Scholar 

  20. Kim HJ, Im YH, Han BK, Choi N, Lee J, Kim JH, et al. Accuracy of MRI for estimating residual tumor size after neoadjuvant chemotherapy in locally advanced breast cancer: relation to response patterns on MRI. Acta Oncol. 2007;46:996–1003.

    Article  PubMed  Google Scholar 

  21. 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.

    Article  CAS  PubMed  Google Scholar 

  22. Schott AF, Roubidoux MA, Helvie MA, Hayes DF, Kleer CG, Newman LA, et al. Clinical and radiologic assessments to predict breast cancer pathologic complete response to neoadjuvant chemotherapy. Breast Cancer Res Treat. 2005;92:231–8.

    Article  CAS  PubMed  Google Scholar 

  23. Croshaw R, Shapiro-Wright H, Svensson E, Erb K, Julian T. Accuracy of clinical examination, digital mammogram, ultrasound, and MRI in determining postneoadjuvant pathologic tumor response in operable breast cancer patients. Ann Surg Oncol. 2011;18:3160–3.

    Article  PubMed  Google Scholar 

  24. Guarneri V, Pecchi A, Piacentini F, Barbieri E, Dieci MV, Ficarra G, et al. Magnetic resonance imaging and ultrasonography in predicting infiltrating residual disease after preoperative chemotherapy in stage II-III breast cancer. Ann Surg Oncol. 2011;18:2150–7.

    Article  PubMed  Google Scholar 

  25. Ye JM, Xu L, Wang DM, Zhao JX, Zhang LB, Duan XN, et al. Prospective study on the role of MRI and B ultrasonography in evaluating the tumor response to neoadjuvant chemotherapy in breast cancer [in Chinese]. Zhonghua Wai Ke Za Zhi. 2009;47:349–52.

    PubMed  Google Scholar 

  26. Lee MC, Rogers K, Griffith K, Diehl KA, Breslin TM, Cimmino VM, et al. Determinants of breast conservation rates: reasons for mastectomy at a comprehensive cancer center. Breast J. 2009;15:34–40.

    Article  PubMed  Google Scholar 

  27. Marinovich ML, Macaskill P, Irwig L, Sardanelli F, von Minckwitz G, Mamounas E, et al. Meta-analysis of agreement between MRI and pathologic breast tumour size after neoadjuvant chemotherapy. Br J Cancer. 2013;109:1528–36.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  28. Herrada J, Iyer RB, Atkinson EN, Sneige N, Buzdar AU, Hortobagyi GN. Relative value of physical examination, mammography, and breast sonography in evaluating the size of the primary tumor and regional lymph node metastases in women receiving neoadjuvant chemotherapy for locally advanced breast carcinoma. Clin Cancer Res. 1997;3:1565–9.

    CAS  PubMed  Google Scholar 

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Acknowledgment

This study was generously supported by grants from the Florence and Edgar Leslie Charitable Trust and the Park Foundation, with the assistance of Dr. Susan Hoover.

Disclosure

Marie Catherine Lee, Segundo Jaime Gonzalez, Huiyi Lin, Xiuhua Zhao, John V. Kiluk, Christine Laronga, and Blaise Mooney have no conflicts of interest or financial disclosures.

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Correspondence to Marie Catherine Lee MD, FACS.

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Lee, M.C., Gonzalez, S.J., Lin, H. et al. Prospective Trial of Breast MRI Versus 2D and 3D Ultrasound for Evaluation of Response to Neoadjuvant Chemotherapy. Ann Surg Oncol 22, 2888–2894 (2015). https://doi.org/10.1245/s10434-014-4357-3

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  • DOI: https://doi.org/10.1245/s10434-014-4357-3

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