Quantitative magnetic resonance imaging assessments of autosomal recessive polycystic kidney disease progression and response to therapy in an animal model

• Published in: Pediatric research Vol. 83; no. 5; pp. 1067 - 1074
• Main Authors: Erokwu, Bernadette O, Anderson, Christian E, Flask, Chris A, Dell, Katherine M
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.05.2018; Nature Publishing Group
• Subjects: Animals; basic-science-investigation; Cysts - metabolism; Disease Models, Animal; Disease Progression; Image Processing, Computer-Assisted - methods; Kidney diseases; Liver Diseases - pathology; Magnetic Resonance Imaging; Male; Medicine; Medicine & Public Health; NMR; Nuclear magnetic resonance; Octreotide - pharmacology; Pediatric Surgery; Pediatrics; Polycystic Kidney, Autosomal Recessive - diagnostic imaging; Polycystic Kidney, Autosomal Recessive - pathology; Rats; Rats, Sprague-Dawley; Software
• ISSN: 0031-3998; 1530-0447
• DOI: 10.1038/pr.2018.24

Background Autosomal recessive polycystic kidney disease (ARPKD) is associated with significant mortality and morbidity, and currently, there are no disease-specific treatments available for ARPKD patients. One major limitation in establishing new therapies for ARPKD is a lack of sensitive measures of kidney disease progression. Magnetic resonance imaging (MRI) can provide multiple quantitative assessments of the disease. Methods We applied quantitative image analysis of high-resolution (noncontrast) T2-weighted MRI techniques to study cystic kidney disease progression and response to therapy in the PCK rat model of ARPKD. Results Serial imaging over a 2-month period demonstrated that renal cystic burden (RCB, %)=[total cyst volume (TCV)/total kidney volume (TKV) × 100], TCV, and, to a lesser extent, TKV detected cystic kidney disease progression, as well as the therapeutic effect of octreotide, a clinically available medication shown previously to slow both kidney and liver disease progression in this model. All three MRI measures correlated significantly with histologic measures of renal cystic area, although the correlation of RCB and TCV was stronger than that of TKV. Conclusion These preclinical MRI results provide a basis for applying these quantitative MRI techniques in clinical studies, to stage and measure progression in human ARPKD kidney disease.