European Journal of Nuclear Medicine and Molecular Imaging

, Volume 36, Issue 10, pp 1551–1557

18F-FDG PET/CT for early prediction of response to neoadjuvant chemotherapy in breast cancer

  • Joan Duch
  • David Fuster
  • Montserrat Muñoz
  • Pedro Luís Fernández
  • Pilar Paredes
  • Montserrat Fontanillas
  • Flavia Guzmán
  • Sebastià Rubí
  • Francisco Juan Lomeña
  • Francesca Pons
Original Article

DOI: 10.1007/s00259-009-1116-y

Cite this article as:
Duch, J., Fuster, D., Muñoz, M. et al. Eur J Nucl Med Mol Imaging (2009) 36: 1551. doi:10.1007/s00259-009-1116-y

Abstract

Purpose

The aim of this study was to prospectively evaluate 18F-FDG PET/CT in predicting response to neoadjuvant chemotherapy in large primary breast cancer.

Methods

Fifty consecutive patients underwent PET/CT at baseline and after the second cycle. Baseline MRI was performed to establish tumour size. All findings were confirmed by histopathological analysis. Changes in maximum standardized uptake value (SUVmax) between baseline study and after two cycles of neoadjuvant chemotherapy (epirubicin + cyclophosphamide + taxanes) were compared using response evaluation criteria in solid tumours (RECIST) criteria and the Miller and Payne (M&P) scale.

Results

The mean tumour size was 4.3 ± 1.4 cm. Forty patients were considered responders and ten as non-responders. SUVmax changes in patients with good prognosis (M&P grades 4–5) were higher than in patients with bad prognosis (M&P grades 1–3) (p = 0.025). SUVmax changes between responders and non-responders following RECIST criteria were also statistically significant (p = 0.0028). A cut-off ΔSUV value of 40% differentiates both groups, with a sensitivity of 77% and a specificity of 80%.

Conclusion

18F-FDG PET/CT can predict response to neoadjuvant chemotherapy at an early stage.

Keywords

Breast cancerPET/CTEarly prediction responseNeoadjuvant chemotherapy

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Joan Duch
    • 1
  • David Fuster
    • 1
  • Montserrat Muñoz
    • 1
  • Pedro Luís Fernández
    • 1
  • Pilar Paredes
    • 1
  • Montserrat Fontanillas
    • 1
  • Flavia Guzmán
    • 1
  • Sebastià Rubí
    • 1
  • Francisco Juan Lomeña
    • 1
  • Francesca Pons
    • 1
  1. 1.Nuclear Medicine DepartmentHospital Clínic de BarcelonaBarcelonaSpain