Model Evolution Concept in Dynamic Contrast Enhanced MRI for Prediction of Tumor Interstitial Fluid Pressure
Hassan Bagher-Ebadian1,2, Azimeh NV Dehkordi3, Rasha Alamgharibi2, Tavarekere Nagaraja1, David Nathanson1, Hamid Soltanian-Zadeh1, Stephen Brown1, Hamed Moradi4, Ali Arbab5, and James R Ewing1,2
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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