Abstract #0190

Model Evolution Concept in Dynamic Contrast Enhanced MRI for Prediction of Tumor Interstitial Fluid Pressure

Hassan Bagher-Ebadian^1,2, Azimeh NV Dehkordi³, Rasha Alamgharibi², Tavarekere Nagaraja¹, David Nathanson¹, Hamid Soltanian-Zadeh¹, Stephen Brown¹, Hamed Moradi⁴, Ali Arbab⁵, and James R Ewing^1,2

¹Henry Ford Hospital, Detroit, MI, United States, ²Oakland University, Rochester, MI, United States, ³Shahid Beheshti University, Tehran, Iran, ⁴Tarbiat Modares University, Tehran, Iran, ⁵Georgia Regents University, Augusta, GA, United States

In this study, three physiologically nested models (NM) are derived from the standard Tofts model to describe possible physiological conditions of underlying tissue pathology. Then, using NM selection technique, Model Evolution (ME) concept is framed to quantify the evolutions of 3 different model volumes throughout the course of Dynamic Contrast Enhanced MRI experiment. We hypothesized that three evolutionary profiles in the course of DCE-MRI experiment generated from the ME concept, highly depend on the inward diffusion and outward convection of CA concentration and contain abundant information for describing the mechanical properties of solid tumors such as Interstitial Fluid Pressure (IFP).

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