Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients

Won Hwa Kim, Hye Jung Kim, So Mi Lee, Seung Hyun Cho, Kyung Min Shin, Sang Yub Lee, Jae Kwang Lim

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Background: Although the role of axillary imaging has been redirected for predicting high nodal burden rather than predicting nodal metastases since ACOSOG Z1011 trial, it remains unclear whether and how axillary lymph node (ALN) characteristics predicts high nodal burden. Our study was aimed to evaluate the predictive value of imaging characteristics of ALNs at ultrasound and magnetic resonance imaging (MRI) for prediction of high nodal burden (≥3 metastatic ALNs) in clinically node-negative breast cancer patients. Methods: Clinicopathological and imaging characteristics were evaluated in patients with ultrasound (n = 312) and MRI (n = 256). Imaging characteristics include number of suspicious ALNs and cortical morphologic changes (grade 1, cortical thickness < 2 mm; grade 2, 2-5 mm; grade 3, ≥5 mm or fatty hilum loss). Odds ratios (ORs) were calculated using multivariate analysis. Results: For ultrasound, higher (≥2) T stage (OR = 5.65, P =.005), higher number of suspicious ALNs (2 suspicious ALNs, OR = 6.52, P =.019; ≥ 3 suspicious ALNs, OR = 21.08, P =.005), and grade 3 of cortical morphologic changes (OR = 9.85, P =.023) independently associated with high nodal burden. For MRI, higher (≥2) T stage (OR = 5.17, P =.011) and higher number of suspicious ALNs (2 suspicious ALNs, OR = 69.00, P =.001; ≥ 3 suspicious ALNs, OR = 93.55, P <.001) were independently associated with high nodal burden. Among patients with 2 suspicious ALNs, those with grade 3 cortical morphologic change at ultrasound had a higher rate of high nodal burden than those with grade 2 (60.0% [3/5] vs. 25.0% [2/8]). Conclusions: A higher number of suspicious ALNs is an independent predictor for high nodal burden. Further stratification can be achieved by incorporating assessment of ultrasound-based cortical morphologic changes.

Original languageEnglish
Article number4
JournalCancer Imaging
Volume19
Issue number1
DOIs
StatePublished - 1 Feb 2019

Keywords

  • Axilla
  • Axillary nodes
  • Breast cancer
  • Lymph nodes
  • Magnetic resonance imaging
  • Ultrasound

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