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- W2339371396 abstract "Chronic Kidney Disease Sourajit M. Mustafi, Paul R. Territo, Brian P. McCarthy, Amanda A. Riley, Jiang Lei, Chen Lin, Bruce A. Molitoris, Gary D. Hutchins and Yu-Chien Wu, for the Research Center for Quantitative Renal Imaging Department of Radiology and Imaging Sciences, and Department of Medicine, Indiana University School of Medicine. Purpose: According to National Health and Nutrition Examination Survey (NHANES), Chronic Kidney Disease (CKD) affects 25% of the US population over age 60. Renal fibrosis, a common pathological consequence of CKD, is a progressive process that ultimately leads to end-stage renal failure that requires dialysis or kidney transplantation. There is a compelling need for non-invasive biomarkers that track changes in the tissue microenvironment associated with CKD. Several studies using magnetic resonance diffusion tensor imaging (DTI) have been proposed as imaging biomarkers for CKD. In this study, in addition to DTI, we explored a diffusion-compartmental modeling technique to study the microstructures of hypoxia induced animal models of CKD." @default.
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- W2339371396 date "2015-04-17" @default.
- W2339371396 modified "2023-09-27" @default.
- W2339371396 title "Magnetic Resonance Diffusion Tensor Imaging and Diffusion Compartmental Modeling in an Animal Model of Chronic Kidney Disease" @default.
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