Rohan S. Virgincar,Aaron K. Wong,Kai Barck,Joshua D. Webster,Jeffrey Hung,Patrick Caplazi,Man Kin Choy,William F. Forrest,Laura C. Bell,Alex J. de Crespigny,Debra Dunlap,Charles Jones,Dong‐Eun Kim,Robby M. Weimer,Andréy S. Shaw,Hans D. Brightbill,Luke Xie
Chronic kidney disease (CKD) can be characterized by inflammation and fibrosis of the kidney. Although standard of care methods have been limited in scope, safety, and spatial distribution, MRI diffusion tensor imaging (DTI) has emerged as a promising noninvasive technology to evaluate renal fibrosis in vivo. In this study, we performed DTI in an oxalate mouse model of CKD to systematically identify local kidney injury. DTI parameters strongly correlated with histology, blood biomarkers, hydroxyproline, and gene expression.