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Abstract #3888

Evaluation of the Efficiency of DTI Anisotropy Indices to Detect Breast Cancer

Edna Furman-Haran 1 , Dov Grobgeld 2 , Noam Nissan 2 , Myra Feinberg-Shapiro 3 , Tania Zehavi 3 , Zvi Kaufman 3 , and Hadassa Degani 2

1 Department of Biological Services, The Weizmann Institute of Science, Rehovot, Israel, 2 Department of Biological Regulation, The Weizmann Institute of Science, Rehovot, Israel, 3 Meir Medical Center, Kfar Saba, Israel

DTI tracks the water diffusion in different directions and thereby allows characterizing breast microstructures with restricted diffusion, revealing their organization in vector/ellipsoid-maps and parametric-maps of anisotropy-indices, derived from the diffusion tensor eigenvectors and eigenvalues, respectively. The study evaluates of the various anisotropy-indices investigating their ability to detect breast cancer. The results indicate that the commonly used normalized anisotropy-indices fail to differentiate cancer from normal tissue, while the un-normalized maximal anisotropy index is significantly lower in cancer as compared to normal tissue and can be efficiently used for detecting breast cancer in conjunction with the reduction in the diffusion coefficients.

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