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    Measurement of single kidney function using dynamic contrast-enhanced MRI: comparison of two models in human subjects.

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    Authors
    Buckley, David L
    Shurrab, Ala'a E
    Cheung, Ching M
    Jones, Andrew P
    Mamtora, Hari
    Kalra, Philip A
    Affiliation
    Imaging Science and Biomedical Engineering, University of Manchester, Manchester, and Department of Renal Medicine, Hope Hospital, Salford, United Kingdom. david.buckley@manchester.ac.uk
    Issue Date
    2006-11
    
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    Abstract
    PURPOSE: To compare two methods for assessing the single kidney glomerular filtration rate (SK-GFR) in humans using dynamic contrast-enhanced (DCE)-MRI. MATERIALS AND METHODS: Images were acquired from 39 separate MR studies of patients with atherosclerotic renovascular disease (ARVD). Data from the kidneys and descending aorta were analyzed using both a Rutland-Patlak plot and a compartmental model. MR estimates of the SK-GFR were compared with standard radioisotope measures in a total of 75 kidneys. RESULTS: Estimates of renal function using both techniques correlated well with radioisotope-assessed SK-GFR (Spearman's rho=0.81, Rutland-Patlak; rho=0.71, compartmental model). The Rutland-Patlak approach provided a near one-to-one correspondence, while the compartmental method tended to overestimate SK-GFR. However, the compartmental model fits to the experimental data were significantly better than those obtained using the Rutland-Patlak approach. CONCLUSION: DCE-MRI of the kidneys provides data that correlate well with reference measures of SK-GFR. However, further work, including image registration, is needed to isolate measurement of glomerular filtration to the level of the renal cortex.
    Citation
    Measurement of single kidney function using dynamic contrast-enhanced MRI: comparison of two models in human subjects. 2006, 24 (5):1117-23 J Magn Reson Imaging
    Journal
    Journal of Magnetic Resonance Imaging
    URI
    http://hdl.handle.net/10541/72625
    DOI
    10.1002/jmri.20699
    PubMed ID
    16941606
    Type
    Article
    Language
    en
    ISSN
    1053-1807
    ae974a485f413a2113503eed53cd6c53
    10.1002/jmri.20699
    Scopus Count
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