Literature DB >> 28181335

Diagnostic value of renal perfusion in patients with chronic kidney disease using 3D arterial spin labeling.

Yu-Zhe Cai1, Zhi-Cheng Li2, Pan-Li Zuo3, Josef Pfeuffer4, Yu-Ming Li1, Fang Liu2, Rong-Bo Liu1.   

Abstract

PURPOSE: To evaluate the diagnostic value of 3D arterial spin labeling (ASL) for noninvasive quantification of renal blood flow (RBF) in patients with chronic kidney disease (CKD).
MATERIALS AND METHODS: CKD patients (n = 27) and healthy volunteers (n = 36) underwent renal 3T ASL magnetic resonance imaging, with inversion times from 1200 to 2000 msec for volunteers in the preliminary test, and 1800 to 2000 msec for volunteers and CKD patients in the formal experiments. The cortical RBFs were compared, and a correlation between RBF and estimated glomerular filtration rate (eGFR) was evaluated.
RESULTS: For healthy volunteers, RBF values increased with TIs from 1200 to 1600 msec, but were almost constant at TIs from 1600 to 2000 msec. The cortical RBF values of CKD patients were lower than that of healthy volunteers at TIs from 1800 to 2000 msec. In addition, the CKD patients had lower cortical RBF values than the healthy volunteers (P < 0.01 for both), and their RBF values positively correlated with eGFR.
CONCLUSION: 3D ASL is a potential noninvasive method for measuring renal perfusion that can provide valuable information for clinical CKD diagnosis. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2017;46:589-594.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  arterial spin labeling (ASL); chronic kidney disease (CKD); magnetic resonance imaging (MRI); renal blood flow (RBF)

Mesh:

Substances:

Year:  2017        PMID: 28181335     DOI: 10.1002/jmri.25601

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


  10 in total

1.  Robust pCASL perfusion imaging using a 3D Cartesian acquisition with spiral profile reordering (CASPR).

Authors:  Joshua S Greer; Xinzeng Wang; Yiming Wang; Marco C Pinho; Joseph A Maldjian; Ivan Pedrosa; Ananth J Madhuranthakam
Journal:  Magn Reson Med       Date:  2019-06-23       Impact factor: 4.668

2.  Noninvasive measurement of renal blood flow by magnetic resonance imaging in rats.

Authors:  Cesar A Romero; Glauber Cabral; Robert A Knight; Guangliang Ding; Edward L Peterson; Oscar A Carretero
Journal:  Am J Physiol Renal Physiol       Date:  2017-10-04

3.  Toward Rapid Noninvasive Measurement of Kidney Perfusion.

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Journal:  Radiology       Date:  2019-10-01       Impact factor: 11.105

4.  Combination of Functional Magnetic Resonance Imaging and Histopathologic Analysis to Evaluate Interstitial Fibrosis in Kidney Allografts.

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Journal:  Clin J Am Soc Nephrol       Date:  2019-08-15       Impact factor: 8.237

5.  Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning.

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Review 6.  Non-Invasive Renal Perfusion Imaging Using Arterial Spin Labeling MRI: Challenges and Opportunities.

Authors:  Fabio Nery; Isky Gordon; David L Thomas
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7.  Quantitative assessment of renal structural and functional changes in chronic kidney disease using multi-parametric magnetic resonance imaging.

Authors:  Charlotte E Buchanan; Huda Mahmoud; Eleanor F Cox; Thomas McCulloch; Benjamin L Prestwich; Maarten W Taal; Nicholas M Selby; Susan T Francis
Journal:  Nephrol Dial Transplant       Date:  2020-06-01       Impact factor: 5.992

Review 8.  A Review of Current and Emerging Trends in Donor Graft-Quality Assessment Techniques.

Authors:  Natalia Warmuzińska; Kamil Łuczykowski; Barbara Bojko
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9.  Synthetic Arterial Spin Labeling MRI of the Kidneys for Evaluation of Data Processing Pipeline.

Authors:  Irène Brumer; Dominik F Bauer; Lothar R Schad; Frank G Zöllner
Journal:  Diagnostics (Basel)       Date:  2022-07-31

10.  Consensus-based technical recommendations for clinical translation of renal ASL MRI.

Authors:  Fabio Nery; Charlotte E Buchanan; Anita A Harteveld; Aghogho Odudu; Octavia Bane; Eleanor F Cox; Katja Derlin; H Michael Gach; Xavier Golay; Marcel Gutberlet; Christoffer Laustsen; Alexandra Ljimani; Ananth J Madhuranthakam; Ivan Pedrosa; Pottumarthi V Prasad; Philip M Robson; Kanishka Sharma; Steven Sourbron; Manuel Taso; David L Thomas; Danny J J Wang; Jeff L Zhang; David C Alsop; Sean B Fain; Susan T Francis; María A Fernández-Seara
Journal:  MAGMA       Date:  2019-12-12       Impact factor: 2.533

  10 in total

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