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Abstract #0707

Breast Cancer Heterogeneity via Intravoxel Incoherent Motion Histogram Analysis: Correlation with Prognostic Factors

Gene Young Cho 1 , Linda Moy 1 , Ana Paula Klautau Leite 2 , Steven Baete 1 , Jim Babb 1 , Sungheon Kim 1 , Daniel K Sodickson 1 , and Eric E Sigmund 1

1 Radiology - Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, Select, United States, 2 Radiology, Hospital das Clnicas, School of Medicine, University of So Paulo, So Paulo, SP, Brazil

Advanced imaging methods such as diffusion MRI with intravoxel incoherent motion (IVIM) analysis provide quantification of imaging biomarkers that relate to physiological tumor characteristics. In this study, advanced diffusion MRI parameters (ADC and IVIM) and heterogeneity markers from histogram analysis of the whole tumor (i.e. kurtosis, skewness, deviation) are correlated with molecular prognostic factors (i.e. ER, PR, Her2/Neu, and Ki-67) in breast cancer patients. Such an analysis may provide useful metrics for breast cancer heterogeneity, which may play a useful role in diagnosis.

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