Objectives To predict sentinel lymph node (SLN) metastasis in breast cancer patients using
radiomics based on T 2-weighted fat suppression (T 2-FS) and diffusion-weighted MRI …

Background Sentinel lymph node (SLN) status is an important prognostic factor for patients
with breast cancer, which is currently determined in clinical practice by invasive SLN biopsy …

Background Previous studies have explored the potential on radiomics features of primary
breast cancer tumor to identify axillary lymph node (ALN) metastasis. However, the value of …

The accurate and noninvasive preoperative prediction of the state of the axillary lymph
nodes is significant for breast cancer staging, therapy and the prognosis of patients. In this …

Rationale and Objectives To evaluate the noninvasive predictive performance of deep
learning features based on staging CT for sentinel lymph node (SLN) metastasis of breast …

Objectives The purpose of this study was to establish two preoperative nomograms to
evaluate the risk for axillary lymph node (ALN) metastasis in early breast cancer patients …

Among patients with a preoperative positive axillary ultrasound, around 40% of them are
pathologically proved to be free from axillary lymph node (ALN) metastasis. We aimed to …

Objectives To determine the predictors of axillary lymph node metastasis (ALNM), two
nomogram models were constructed to accurately predict the status of axillary lymph nodes …

Simple Summary Breast cancer is the most common cancer in women worldwide. The
axillary lymph node status is one of the main prognostic factors. Currently, the methods to …

Purpose: More than 70% of patients with breast cancer present with node-negative disease,
yet all undergo surgical axillary staging. We aimed to define predictors of nodal metastasis …