Fang Liu1,2, Anat Kornecki3, Olga Shmuilovich3, Neil Gelman1,2
1Lawson Imaging, Lawson Health Research Institute, London, Ontario, Canada; 2Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada; 3Department of Diagnostic Imaging, St. Joseph's Health Center, London, Ontario, Canada
Most previous quantitative studies using dynamic contrast enhanced MRI of the breast have analyzed either signal time evolution features or morphological features as predictors of malignancy. However, combined use of both types of features should provide stronger predictors. In this study, a time evolution feature (time to peak (TTP)) and a 3D morphological feature (spherical shape index (SSI)), both obtained from tumor regions segmented automatically with K-means clustering, were investigated as independent and combined predictors of malignancy. Results suggest that the combination provides stronger discrimination of malignant versus benign lesions than either feature alone.