A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma

Sci Rep. 2017 Jun 8;7(1):3029. doi: 10.1038/s41598-017-03582-3.

Abstract

To develop a risk model for predicting axillary lymph node metastasis (LNM) in patients with breast invasive ductal carcinoma (IDCs) using ultrasound (US), US elastography of virtual touch tissue imaging (VTI) and virtual touch tissue imaging & quantification (VTIQ), and histologic parameters. This study included 162 breast IDCs in 162 patients. Univariate and multivariate analyses were used to identify the risk factors and a risk model was created. The results found that 64 (39.5%) of 162 patients had axillary LNMs. The risk score (RS) for axillary LNM was defined as following: RS = 1.3 × (if lesion size ≥20 mm) + 2.6 × (if taller than wide shape) + 2.2 × (if VTI score ≥5) + 3.9 × (if histological grade III) + 1.9 × (if positive C-erbB-2). The rating system was divided into 6 stages (i.e. Stage I, Stage II, Stage III, Stage IV, Stage V, and Stage VI) and the associated risk rates in terms of axillary LNM were 0% (0/19), 6.1% (2/33), 7.7% (3/39), 65.5% (19/29), 92.3% (24/26), and 100% (16/16), respectively. The risk model for axillary LNM established in the study may facilitate subsequent treatment planning and management in patients with breast IDCs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Axilla
  • Biomarkers, Tumor
  • Biopsy
  • Breast Neoplasms / diagnostic imaging*
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / pathology*
  • Carcinoma, Ductal / diagnostic imaging*
  • Carcinoma, Ductal / metabolism
  • Carcinoma, Ductal / pathology*
  • Elasticity Imaging Techniques*
  • Female
  • Humans
  • Immunohistochemistry
  • Lymph Nodes / pathology*
  • Lymphatic Metastasis
  • Middle Aged
  • Neoplasm Grading
  • Neoplasm Invasiveness
  • Neoplasm Staging
  • ROC Curve
  • Retrospective Studies
  • Ultrasonography* / methods

Substances

  • Biomarkers, Tumor