Optimal assessment of residual disease after neo-adjuvant therapy for locally advanced and inflammatory breast cancer--clinical examination, mammography, or magnetic resonance imaging?

J Surg Oncol. 2010 Jun 1;101(7):604-10. doi: 10.1002/jso.21559.

Abstract

Purpose: Accurate assessment of residual disease after neo-adjuvant chemotherapy (NEC) for women with locally advanced and inflammatory breast cancer (LABC) is critical for planning surgery. The study's purpose was to prospectively determine the optimal method (clinical examination (CE), mammogram (MG), and magnetic resonance imaging (MRI)) for assessing residual disease after NEC for women with LABC.

Methods: Women with LABC who received NEC and surgery were enrolled. Patient demographics, tumor size as measured by CE, MG, and MRI both before and after NEC, and final pathologic size of tumor were collected. Response to NEC was calculated using RECIST criteria. Paired t-tests and the Pearson correlation were used to compare tumor size on CE, MG, MRI, and final pathology.

Results: Forty-eight women with 50 LABC were recruited. Mean pre-NEC tumor size was 8.2, 5.1, and 6.2 cm on CE, MG, and MRI. Mean post-NEC tumor size was 2.4, 4.3, 3.9, and 3.6 cm on CE, MG, MRI, and final pathology. The Pearson correlation co-efficient between post-NEC measurements and pathology was 0.63 (CE), 0.15 (MG), and 0.49 (MRI).

Conclusion: We found that there was limited correlation between the extent of residual disease after NEC for patients with LABC as assessed by CE, MG, and MRI as compared to final pathology.

Publication types

  • Clinical Trial
  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Breast Neoplasms / drug therapy
  • Breast Neoplasms / pathology*
  • Breast Neoplasms / surgery
  • Decision Making
  • Female
  • Humans
  • Magnetic Resonance Imaging*
  • Mammography*
  • Mastectomy
  • Middle Aged
  • Neoadjuvant Therapy
  • Neoplasm Recurrence, Local / prevention & control
  • Neoplasm, Residual
  • Palpation*
  • Prospective Studies
  • Sensitivity and Specificity