Utilizing magnetization transfer imaging to investigate tissue remodeling in a murine model of autosomal dominant polycystic kidney disease
Year: 2015
Type: article
Abstract: PURPOSE: Noninvasive imaging techniques that quantify renal tissue composition are needed to more accurately ascertain prognosis and monitor disease progression in polycystic kidney disease (PKD). Given the success of magnetization transfer (MT) imaging to characterize various tissue remodeling pathologies, it was tested on a murine model of autosomal dominant PKD. METHODS: C57Bl/6 Pkd1 R3277C mice at 9, 12, and 15 months were imaged with a 16.4T MR imaging system. Images were acquired without and with RF saturation in order to calculate MT ratio (MTR) maps. Following imaging, the mice were euthanized and kidney sections were analyzed for cystic and fibrotic indices, which were compared with statistical parameters of the MTR maps. RESULTS: The MTR-derived mean, median, 25th percentile, skewness, and kurtosis were all closely related to indices of renal pathology, including kidney weight/body weight, cystic index, and percent of remaining parenchyma. The correlation between MTR and histology-derived cystic and fibrotic changes was R(2) = 0.84 and R(2) = 0.70, respectively. CONCLUSION: MT imaging provides a new, noninvasive means of measuring tissue remodeling PKD changes and may be better suited for characterizing renal impairment compared with conventional MR techniques.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.25701
Institution: Mayo Clinic
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,680
Awards: G1128605528, G1404031250, Objective decision support environment for clinical trials, Noninvasive assessment of renal fibrosis using magnetization transfer MRI, G324808749, G3333761923, CT imaging for the assessment of kidney injury distal to renal artery stenosis, Novel treatment for polycystic kidney disease, G6210625196, Kidney Segmentation and New Metrics to Predict Disease Progression in ADPKD, Novel treatment for polycystic kidney disease, Mayo Translational PKD Center (MTPC), G8412907252, Mayo Clinic Metabolomics Resource Core, ADPKD: Disease Spectrum & Genotype-Phenotype Correlations
OpenAlex ID: W2135415684
