Literature DB >> 18096463

Measurement of glomerular filtration rate with magnetic resonance imaging: principles, limitations, and expectations.

Nicolas Grenier1, Iosif Mendichovszky, Baudouin Denis de Senneville, Sébastien Roujol, Pascal Desbarats, Michael Pedersen, Kevin Wells, Jorgen Frokiaer, Isky Gordon.   

Abstract

Glomerular filtration rate (GFR) is the most useful quantitative index of renal function and is used clinically as the gold standard of renal dysfunction. Follow-up of patients with impaired renal function requires reliable measurements of GFR. Thus, serial GFR values estimated from magnetic resonance imaging (MRI) would be worthwhile if easy to obtain, accurate, and reproducible. Nuclear medicine-based techniques remain at present the reference method for quantification of GFR, but MRI should be able to compete in the near future. Several methods are available for measurement of GFR using MRI and freely filtered Gd-chelates: (1) measurement of the clearance of the agent using blood samplings; (2) measurement of the plasma clearance of the agent using signal intensity changes within abdominal organs; (3) measurement of the extraction fraction of the agent; and (4) monitoring of tracer intrarenal kinetics. A high heterogeneity of protocols (e.g., in acquisition mode, dose of contrast, postprocessing techniques) is noted in the literature, reflecting the number of technical challenges that will have to be solved before to reach a consensus, and the reported accuracy and reproducibility are insufficient for justifying their use in clinical practice now.

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Year:  2008        PMID: 18096463     DOI: 10.1053/j.semnuclmed.2007.09.004

Source DB:  PubMed          Journal:  Semin Nucl Med        ISSN: 0001-2998            Impact factor:   4.446


  12 in total

Review 1.  [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

Review 2.  Complications during pregnancy and fetal development: implications for the occurrence of chronic kidney disease.

Authors:  Ashley D Newsome; Gwendolyn K Davis; Norma B Ojeda; Barbara T Alexander
Journal:  Expert Rev Cardiovasc Ther       Date:  2017-02-16

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.  4D MRI of polycystic kidneys from rapamycin-treated Glis3-deficient mice.

Authors:  Luke Xie; Yi Qi; Ergys Subashi; Grace Liao; Laura Miller-DeGraff; Anton M Jetten; G Allan Johnson
Journal:  NMR Biomed       Date:  2015-03-23       Impact factor: 4.044

5.  Photoacoustic Imaging of Nanoparticle Transport in the Kidneys at High Temporal Resolution.

Authors:  Xingya Jiang; Bujie Du; Shaoheng Tang; Jer-Tsong Hsieh; Jie Zheng
Journal:  Angew Chem Int Ed Engl       Date:  2019-03-27       Impact factor: 15.336

6.  Dynamic Contrast Enhancement (DCE) MRI-Derived Renal Perfusion and Filtration: Basic Concepts.

Authors:  Michael Pedersen; Pietro Irrera; Walter Dastrù; Frank G Zöllner; Kevin M Bennett; Scott C Beeman; G Larry Bretthorst; Joel R Garbow; Dario Livio Longo
Journal:  Methods Mol Biol       Date:  2021

Review 7.  Quantitative renal magnetic resonance imaging: magnetic resonance urography.

Authors:  J Damien Grattan-Smith; Jeanne Chow; Sila Kurugol; Richard Alan Jones
Journal:  Pediatr Radiol       Date:  2022-01-13

8.  Functional analysis in MR urography - made simple.

Authors:  Dmitry Khrichenko; Kassa Darge
Journal:  Pediatr Radiol       Date:  2009-12-12

Review 9.  Radiologic imaging of the renal parenchyma structure and function.

Authors:  Nicolas Grenier; Pierre Merville; Christian Combe
Journal:  Nat Rev Nephrol       Date:  2016-04-12       Impact factor: 28.314

10.  Measurement of glomerular filtration rate by dynamic contrast-enhanced magnetic resonance imaging using a subject-specific two-compartment model.

Authors:  Aaryani Tipirneni-Sajja; Ralf B Loeffler; Niels Oesingmann; John Bissler; Ruitian Song; Beth McCarville; Deborah P Jones; Melissa Hudson; Sheri L Spunt; Claudia M Hillenbrand
Journal:  Physiol Rep       Date:  2016-04-13
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