Abstract #0094

DCE-MRI based radiomics signature: a potential biomarker for preoperative prediction of sentinel lymph node metastasis in breast cancer

Jie Ding¹, Chunling Liu², Karl Spuhler¹, Tim Duong³, Changhong Liang², Shahid Hussain³, and Chuan Huang^1,3,4,5

¹Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, ²Radiology, Guangdong General Hospital/Guangdong Academy of Medical Sciences, Guangzhou, China, ³Radiology, Stony Brook Medicine, Stony Brook, NY, United States, ⁴Computer Science, Stony Brook University, Stony Brook, NY, United States, ⁵Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States

This study is the first to combine DCE-MRI radiomics with clinical information to predict sentinel lymph node (SLN) metastasis in breast cancer. The prediction model was established in a training set, and was further validated in a completely independent validation set, with AUC of 0.898 and negative predictive value of 0.902. This prediction performance surpasses the previous study using T2w and DWI, and is particularly useful for eliminating the unnecessary, invasive SLN biopsy and axillary dissection in patients with negative SLN, offering a step towards precision medicine of breast cancer.

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