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Abstract #3408

A multi-directional methodology for discriminating benign from malignant lesions on DWI for women with dense breasts

Alan Penn1, Barry Reich1, Etta Pisano2, Vandana Dialani3, Elodia Cole2, David Brousseau4, Milica Medved5, Gregory S. Karczmar5, Guimin Gao5, and Hiroyuki Abe6

1Alan Penn & Assoc., Inc., Rockville, MD, United States, 2Beth Israel Deaconess Medical Center, 3Radiology, Beth Israel Deaconess Medical Center, 4California Hospital Medical Center, 5University of Chicago, 6Radiology, University of Chicago

We describe a new methodology for discriminating benign from malignant breast lesions on DWI for women with dense breasts and show that the new methodology results in statistically significant improvement over standard ADC methods. The methodology uses computer models that can be constructed independently from the three directional DWI signals or from the trace signal. Preliminary results show improved discrimination is obtained using the multi-directional models when compared to using the trace. The methodology can be adapted for computer-aided-detection by tiling the image, independently marking each tile with areas of suspicion, and constructing a mosaic from the marked tiles.

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