MRI Volume Changes of Axillary Lymph Nodes as Predictor of Pathologic Complete Responses to Neoadjuvant Chemotherapy in Breast Cancer

Renee F. Cattell, James J. Kang, Thomas Ren, Pauline B. Huang, Ashima Muttreja, Sarah Dacosta, Haifang Li, Lea Baer, Sean Clouston, Roxanne Palermo, Paul Fisher, Cliff Bernstein, Jules A. Cohen, Tim Q. Duong

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Introduction: Longitudinal monitoring of breast tumor volume over the course of chemotherapy is informative of pathologic response. This study aims to determine whether axillary lymph node (aLN) volume by magnetic resonance imaging (MRI) could augment the prediction accuracy of treatment response to neoadjuvant chemotherapy (NAC). Materials and Methods: Level-2a curated data from the I-SPY-1 TRIAL (2002-2006) were used. Patients had stage 2 or 3 breast cancer. MRI was acquired pre-, during, and post-NAC. A subset with visible aLNs on MRI was identified (N = 132). Prediction of pathologic complete response (PCR) was made using breast tumor volume changes, nodal volume changes, and combined breast tumor and nodal volume changes with sub-stratification with and without large lymph nodes (3 mL or ∼1.79 cm diameter cutoff). Receiver operating characteristic curve analysis was used to quantify prediction performance. Results: The rate of change of aLN and breast tumor volume were informative of pathologic response, with prediction being most informative early in treatment (area under the curve (AUC), 0.57-0.87) compared with later in treatment (AUC, 0.50-0.75). Larger aLN volume was associated with hormone receptor negativity, with the largest nodal volume for triple negative subtypes. Sub-stratification by node size improved predictive performance, with the best predictive model for large nodes having AUC of 0.87. Conclusion: aLN MRI offers clinically relevant information and has the potential to predict treatment response to NAC in patients with breast cancer.

Original languageEnglish (US)
Pages (from-to)68-79.e1
JournalClinical breast cancer
Volume20
Issue number1
DOIs
StatePublished - Feb 2020
Externally publishedYes

Keywords

  • Breast tumor volume
  • Dynamic contrast-enhanced MRI
  • Magnetic resonance imaging
  • Molecular subtypes
  • Sentinel lymph node biopsy

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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