Literature DB >> 20027580

Comprehensive MR evaluation of renal disease: added clinical value of quantified renal perfusion values over single MR angiography.

Ulrike I Attenberger1, Steven P Sourbron, Stefan O Schoenberg, John Morelli, Tim Leiner, Gita M Schoeppler, Walter Samtleben, Krista L Birkemeier, Christian Glaser, Maximilian F Reiser, Henrik J Michaely.   

Abstract

PURPOSE: To evaluate the diagnostic accuracy of quantified renal perfusion parameters in identifying and differentiating renovascular from renal parenchymal disease.
MATERIALS AND METHODS: In all, 27 patients underwent renal perfusion measurements on a 3.0 T magnetic resonance imaging (MRI) system. Imaging was performed with a saturation recovery TurboFLASH sequence (TR/TE 177/0.93 msec, flip angle 12 degrees , 5 slices/sec). All patients also underwent high-resolution MR angiography (MRA) (TR/TE 3.1/1.09, flip angle 23 degrees , spatial resolution 0.9 x 0.8 x 0.9 mm(3)). MR perfusion measurements were analyzed with a two-compartment model, quantifying the plasma flow (F(P))-a characteristic renal first-pass perfusion parameter. A receiver-operator characteristic analysis was used to determine the optimal threshold value for distinguishing normal and abnormal plasma flow values. Utilizing this cutoff, sensitivity and specificity of solitary MR perfusion measurements, MRA, and a diagnostic strategy combining the two were evaluated.
RESULTS: Quantified MR perfusion values yielded a sensitivity of 100% and a specificity of 85% utilizing the optimal plasma flow threshold value of 150 mL/100 mL/min, whereas single MRA achieved a sensitivity of 51.9% and a specificity of 90%. Combining both methods enabled improved detection of renovascular and renoparenchymal disease with a sensitivity of 96.3% and specificity of 90%.
CONCLUSION: In distinction to MRA, quantified MR perfusion measurements allow for the detection of pure renal parenchymal disorders. The combination of MRA with these perfusion measurements suggests an algorithm by which parenchymal and renovascular diseases may be reliably distinguished and the hemodynamic significance of the latter reliably determined. (c) 2009 Wiley-Liss, Inc.

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Year:  2010        PMID: 20027580     DOI: 10.1002/jmri.21994

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  [Functional magnetic resonance imaging for evaluation of radiation-induced renal damage].

Authors:  S Haneder; J Boda-Heggemann; S O Schoenberg; H J Michaely
Journal:  Radiologe       Date:  2012-03       Impact factor: 0.635

Review 2.  [Functional magnetic resonance imaging of the kidneys].

Authors:  R S Lanzman; M Notohamiprodjo; H J Wittsack
Journal:  Radiologe       Date:  2015-12       Impact factor: 0.635

3.  UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine.

Authors:  Frank G Zöllner; Gerald Weisser; Marcel Reich; Sven Kaiser; Stefan O Schoenberg; Steven P Sourbron; Lothar R Schad
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

4.  Assessment of the kidneys: magnetic resonance angiography, perfusion and diffusion.

Authors:  Ulrike I Attenberger; John N Morelli; Stefan O Schoenberg; Henrik J Michaely
Journal:  J Cardiovasc Magn Reson       Date:  2011-11-15       Impact factor: 5.364

5.  Precise measurement of renal filtration and vascular parameters using a two-compartment model for dynamic contrast-enhanced MRI of the kidney gives realistic normal values.

Authors:  Paul S Tofts; Marica Cutajar; Iosif A Mendichovszky; A Michael Peters; Isky Gordon
Journal:  Eur Radiol       Date:  2012-03-14       Impact factor: 5.315

6.  Quantitative high-resolution renal perfusion imaging using 3-dimensional through-time radial generalized autocalibrating partially parallel acquisition.

Authors:  Katherine L Wright; Yong Chen; Haris Saybasili; Mark A Griswold; Nicole Seiberlich; Vikas Gulani
Journal:  Invest Radiol       Date:  2014-10       Impact factor: 6.016

7.  Assessment of Semiquantitative Parameters of Dynamic Contrast-Enhanced Perfusion MR Imaging in Differentiation of Subtypes of Renal Cell Carcinoma.

Authors:  Ahmed Abdel Khalek Abdel Razek; Amani Mousa; Ahmed Farouk; Nancy Nabil
Journal:  Pol J Radiol       Date:  2016-03-06
  7 in total

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