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Abstract #0408

Classification of Breast Edema on T2-weighted imaging for predicting sentinel lymph node metastasis and biological behavior in breast cancer

Yunfeng Zhou1, Shijia Xie1, Mengxiao Liu2, and Zhe Hou1
1Yijishan Hospitial, Wuhu, China, 2MR Research Collaboration Team, Diagnostic Imaging, Siemens Healthineers Ltd, Shanghai, China, Shanghai, China

Synopsis

Keywords: Breast, Breast

Motivation: Predicting sentinel lymph node (SLN) metastasis and biological behavior in patients with early-stage breast cancer is important.

Goal(s): To determine whether preoperative classification of breast edema can predict SLN metastasis and biological behavior in patients with early-stage breast cancer.

Approach: Breast edema was scored on a scale of 1 to 4 on T2WI to explore additional predictive value of the breast edema score (BES) model.

Results: The combined BES model significantly improved the predictive performance of SLN metastasis.

Impact: Breast edema on T2-weighted imaging can be used to predict SLN metastasis in breast cancer, helping clinicians to develop individualized treatment plans and evaluate prognosis.

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