4.6 Article

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

Journal

PEDIATRIC RESEARCH
Volume 83, Issue 5, Pages 1067-1074

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/pr.2018.24

Keywords

-

Categories

Funding

  1. NIH/NIDDK [R01-DK085099]

Ask authors/readers for more resources

BACKGROUND: Autosomal recessive polycystic kidney disease (ARPKD) is associated with significant mortality and moibidity, 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) x 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available