Abstract #1903

Multi-parametric MRI of Kidney Disease Progression in a Mouse Model of Autosomal Recessive Polycystic Kidney Disease (ARPKD)

Christina J. MacAskill¹, Bernadette O. Erokwu², Yifan Zhang², Samantha L. Rodriguez³, Christian E. Anderson^1,2, Suraj Serai⁴, Erum A. Hartung⁵, Oliver Wessely⁶, Katherine M. Dell^7,8,9, and Chris A. Flask^1,2,7

¹Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ²Radiology, Case Western Reserve University, Cleveland, OH, United States, ³Biology, Case Western Reserve University, Cleveland, OH, United States, ⁴Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, ⁵Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, ⁶Cellular and Molecular Medicine, Cleveland Clinic Lerner Research Institute, Cleveland, OH, United States, ⁷Pediatrics, Case Western Reserve University, Cleveland, OH, United States, ⁸Center for Pediatric Nephrology, Cleveland Clinic Children's, Cleveland, OH, United States, ⁹CWRU Center for Kidney Research, The MetroHealth System, Cleveland, OH, United States

There are currently no sensitive measures for kidney disease progression in Autosomal Recessive Polycystic Kidney Disease (ARPKD). In this study, T1 and T2 relaxation times and Apparent Diffusion Coefficient (ADC)) were evaluated for their sensitivity to detect ARPKD progression in the bpk mouse model of ARPKD, which closely mimics human ARPKD kidney disease. Mean kidney T2 showed a significant correlation with both age and kidney volume. T1 and ADC showed no significant correlations. These results suggest that renal T2 relaxometry may be a viable marker for ARPKD kidney disease progression in vivo.

This abstract and the presentation materials are available to members only; a login is required.

Join Here