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Abstract #2480

Principal Component Analysis of Breast DCE-MRI: Evaluation of Clinical Protocols at Two Temporal Resolutions

Daria Badikhi1, Myra Shapiro-Feinberg2, Erez Eyal3, Edna Furman-Haran4, Dov Grobgeld1, Hadassa Degani1

1Biological Regulation, Weizmann Institute of Science, Rehovot, Israel; 2Radiology, Meir Medical Center, Kfar Sabah, Israel; 3Biological Regulation, Weizmann Institute of Science, Israel; 4Biological Services, Weizmann Institute of Science, Rehovot

Principal component analysis (PCA) of clinical breast DCE MRI datasets, recorded at two different temporal resolutions (80 s and 120 s), was tested and evaluated for its diagnostic ability. We found that PCA can differentiate with high accuracy between benign and malignant lesions at both temporal resolutions, however, discriminative ability between invasive ductal and lobular carcinoma can be reached only at the higher temporal resolution. Overall, PCA was found to be a useful, standardized, fast, and objective tool for computer aided diagnosis of breast lesions