Renal parenchyma impairment characterization in partial unilateral ureteral obstruction in mice with intravoxel incoherent motion-MRI.
Maguelonne PonsBenjamin LeporqLiza AliMarianne AlisonMiguel AlbuquerqueMichel PeuchmaurMarie-Laurence Poli MérolUlrich BlankSimon A LambertAlaa El GhoneimiPublished in: NMR in biomedicine (2017)
Ureteropelvic junction obstruction constitutes a major cause of progressive pediatric renal disease. The biological mechanisms underlying the renal response to obstruction can be investigated using a clinically relevant mouse model of partial unilateral ureteral obstruction (pUUO). Renal function and kidney morphology data can be evaluated using renal ultrasound, scintigraphy and uro-magnetic resonance imaging (uro-MRI), but these methods are poorly linked to histological change and not all are quantitative. Here, we propose to investigate pUUO for the first time using an intravoxel incoherent motion diffusion sequence. The aim of this study was to quantitatively characterize impairment of the kidney parenchyma in the pUUO model. This quantitative MRI method was able to assess the perfusion and microstructure of the kidney without requiring the injection of a contrast agent. The results suggest that a perfusion fraction (f) reduction is associated with a decrease in the volume of the renal parenchyma, which could be related to decreased renal vascularization. The latter may occur before impairment by fibrosis and the findings are in accordance with the literature using the UUO mice model and, more specifically, on pUUO. Further investigation is required before this technique can be made available for the diagnosis and management of children with antenatal hydronephrosis and to select the optimal timing of surgery if required.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted imaging
- diffusion weighted
- magnetic resonance
- computed tomography
- mouse model
- type diabetes
- systematic review
- machine learning
- white matter
- metabolic syndrome
- high fat diet induced
- electronic health record
- adipose tissue
- deep learning
- ultrasound guided
- skeletal muscle