Abstract #0403

Directional-gradient based radiogenomic descriptors on DCE-MRI appear to distinguish different PAM50-identified subtypes of HER2+ Breast Cancer

Prateek Prasanna¹, Nathaniel Braman¹, Salendra Singh¹, Donna Plecha², Hannah Gilmore², Lyndsay Harris², Tao Wan³, Vinay Varadan¹, and Anant Madabhushi¹

¹Case Western Reserve University, Cleveland, OH, United States, ²University Hospitals, Cleveland, OH, United States, ³Beihang University, Beijing, China, People's Republic of

We present the initial results of using a novel radiogenomic descriptor, CoLlAGe, on breast DCE-MRI to identify associations with HER2+ breast cancer subtypes. Current method involves using a PAM50 assay to analyze primary tumor tissues. CoLlAGe is a quantitative measurement of the degree of order/disorder of localized image gradient orientations. We extract CoLlAGe entropy from the regions of interest. Unsupervised hierarchical clustering of the entropy statistics show that we can segregate the cohort into three distinct subtypes (enriched, basal and luminal), as identified by PAM50 assay. CoLlAGe resulted in higher clustering accuracy as compared to pharmacokinetic parameters and signal intensities.

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