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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