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 Jerome^4,5, Agnes Østlie⁵, Tone Frost Bathen^2,5, Pål Erik Goa^4,5, 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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