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Abstract #2328

Multi-exponential model of diffusion signal in healthy and cancerous breast tissue with fixed ADCs

Ana Elvira Rodríguez-Soto1, Maren M. Sjaastad Andreassen2, Christopher Charles Conlin1, Helen Park3, Igor Vidic4, Neil Peter Jerome4,5, Agnes Østlie5, Tone Frost Bathen2,5, Pål Erik Goa4,5, Tyler Seibert6, Michael Hahn1, Anders Martin Dale7, and Rebecca Rakow-Penner1
1Department of Radiology, University of California, San Diego, La Jolla, CA, United States, 2Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3School of Medicine, University of California, San Diego, La Jolla, CA, United States, 4Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway, 5Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, 6Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA, United States, 7Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States

Breast DWI has shown great potential to become a contrast-free diagnostic tool for breast cancer. The purpose of this work was to determine a unified model to describe the diffusion signal of cancer and healthy breast tissues, and compare tumor conspicuity of model components to DCE-MRI and DWI estimates. Multi-exponential models with fixed ADCs were determined and the weights of each component estimated. Tumor conspicuity, defined as contrast-to-noise ratio, was found to be ~3 times higher in DCE-MRI than in the weights of multi-exponential components. This model may increase the sensitivity and specificity of DWI for breast cancer diagnosis.

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