4.6 Article

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

Journal

CANCER IMAGING
Volume 19, Issue -, Pages -

Publisher

E-MED
DOI: 10.1186/s40644-019-0191-y

Keywords

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

Funding

  1. Biomedical Research Institute grant, Kyungpook National University Hospital

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BackgroundAlthough 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.MethodsClinicopathological 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<2mm; grade 2, 2-5mm; grade 3, 5mm or fatty hilum loss). Odds ratios (ORs) were calculated using multivariate analysis.ResultsFor 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]).ConclusionsA 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.

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