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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
Cancer imaging : the official publication of the International Cancer Imaging Society | 2019

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.

Pubmed ID: 30709369

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RRID:SCR_015044

Statistical software for ROC curve analysis. MedCalc performs several statistical tests such as method comparison, method evaluation, reference intervals, and meta-analysis.

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