Abstract

ObjectivesTo evaluate the predictive performance of comb-push ultrasound shear elastography for the differentiation of reactive and metastatic axillary lymph nodes.MethodsFrom June 2014 through September 2018, 114 female volunteers (mean age 58.1±13.3 years; range 28–88 years) with enlarged axillary lymph nodes identified by palpation or clinical imaging were prospectively enrolled in the study. Mean, standard deviation and maximum shear wave elastography parameters from 117 lymph nodes were obtained and compared to fine needle aspiration biopsy results. Mann-Whitney U test and ROC curve analysis were performed.ResultsThe axillary lymph nodes were classified as reactive or metastatic based on the fine needle aspiration outcomes. A statistically significant difference between reactive and metastatic axillary lymph nodes was observed based on comb-push ultrasound shear elastography (CUSE) results (p<0.0001) from mean and maximum elasticity values. Mean elasticity showed the best separation with a ROC analysis resulting in 90.5% sensitivity, 94.4% specificity, 0.97 area under the curve, 95% positive predictive value, and 89.5% negative predictive value with a 30.2-kPa threshold.ConclusionsCUSE provided a quantifiable parameter that can be used for the assessment of enlarged axillary lymph nodes to differentiate between reactive and metastatic processes.

Highlights

  • Metastatic involvement of axillary lymph nodes (ALNs) in patients with breast cancer is an important prognostic factor used for cancer staging and to determine the best treatment option [1,2,3]

  • The axillary lymph nodes were classified as reactive or metastatic based on the fine needle aspiration outcomes

  • A statistically significant difference between reactive and metastatic axillary lymph nodes was observed based on comb-push ultrasound shear elastography (CUSE) results (p

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Summary

Introduction

Metastatic involvement of axillary lymph nodes (ALNs) in patients with breast cancer is an important prognostic factor used for cancer staging and to determine the best treatment option [1,2,3]. Several sonographic features can be detected including an increase in size, increase in cortical thickness, change in shape, lobulation of the cortex, displacement or replacement of the fatty hilum, etc. [5, 6] These features can provide valuable information for the characterization of abnormal ALNs [7,8,9], and help identify lymph nodes suitable for needle biopsy [10,11,12,13,14,15,16,17]

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