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Abstract #4816

MRI texture analysis for detection of axillary lymph node metastasis in breast cancer patients

Renee Cattell1, Vincent Zhang1, Pauline Huang1, Meghan Italo1, James Kang1, Jason Ha1, Haifang Li1, Jules Cohen1, Lea Baer1, Dinko Franceschi1, Cliff Bernstein1, Sean Clouston1, and Timothy Duong1

1Stony Brook University, Stony Brook, NY, United States

We tested the hypothesis whether texture analysis of axillary lymph node (aLN) MRI can reliably detect cancer metastasis in the aLN. Comparison was made with ground truth based on pathology and clinical reports. The top single-feature predictor yielded an area under the curve (AUC) of 0.91 and the top two-feature combination yielded an AUC of 0.95. These findings showed that texture analysis of aLN MRI can accurately predict disease status in the nodes associated with breast cancer.

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