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

Tofts, Paul S.; Cutajar, Marica; Mendichovszky, Iosif; Peters, A. M.; Gordon, Isky

doi:10.1007/s00330-012-2382-9

Cited by 44 publications

(78 citation statements)

References 51 publications

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“…Previous studies have shown good reproducibility of ASL with intra-class correlation for cortical perfusion (0.85) [8][9][10]. Possible future work could include comparison of the ASL-based FF measurements with those measured using dynamic contrast enhanced MR imaging [37]. As this is another MR technique; it might eliminate equipment-related errors, but it is by no means a gold standard, so results would still need to be interpreted with caution.…”

Section: Discussionmentioning

confidence: 91%

Renal blood flow using arterial spin labelling MRI and calculated filtration fraction in healthy adult kidney donors Pre-nephrectomy and post-nephrectomy

Cutajar

Hilton²,

Olsburgh³

et al. 2015

Eur Radiol

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Section: Discussionmentioning

confidence: 91%

Renal blood flow using arterial spin labelling MRI and calculated filtration fraction in healthy adult kidney donors Pre-nephrectomy and post-nephrectomy

Cutajar

Hilton²,

Olsburgh³

et al. 2015

Eur Radiol

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“…Compartmental modeling is typically used to extract renal physiological parameters like GFR from enhancement curves. The details of the models and their comparison can be found in literature 2, 21–25 .…”

Section: Mri Principles and Techniquesmentioning

confidence: 99%

New magnetic resonance imaging methods in nephrology

Zhang

Morrell

Rusinek

et al. 2014

Kidney International

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Established as a method to study anatomic changes, such as renal tumors or atherosclerotic vascular disease, magnetic resonance imaging (MRI) to interrogate renal function has only recently begun to come of age. In this review, we briefly introduce some of the most important MRI techniques for renal functional imaging, and then review current findings on their use for diagnosis and monitoring of major kidney diseases. Specific applications include renovascular disease, diabetic nephropathy, renal transplants, renal masses, acute kidney injury and pediatric anomalies. With this review, we hope to encourage more collaboration between nephrologists and radiologists to accelerate the development and application of modern MRI tools in nephrology clinics.

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“…Fitting to the Tofts renal‐specific model was performed in MatLab (MathWorks) for parenchymal ROIs using the trust‐region‐reflective algorithm. Parenchymal ROIs were used because calculation of GFR in a cortical ROI has been shown to underestimate GFR . This is reasonable because the model does not account for tubular outflow.…”

Section: Methodsmentioning

confidence: 99%

Modified dixon‐based renal dynamic contrast‐enhanced MRI facilitates automated registration and perfusion analysis

Boer

Leiner

Vink

et al. 2017

Magnetic Resonance in Med

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PurposeRenal dynamic contrast‐enhanced (DCE) MRI provides information on renal perfusion and filtration. However, clinical implementation is hampered by challenges in postprocessing as a result of misalignment of the kidneys due to respiration. We propose to perform automated image registration using the fat‐only images derived from a modified Dixon reconstruction of a dual‐echo acquisition because these provide consistent contrast over the dynamic series.MethodsDCE data of 10 hypertensive patients was used. Dual‐echo images were acquired at 1.5 T with temporal resolution of 3.9 s during contrast agent injection. Dixon fat, water, and in‐phase and opposed‐phase (OP) images were reconstructed. Postprocessing was automated. Registration was performed both to fat images and OP images for comparison. Perfusion and filtration values were extracted from a two‐compartment model fit.ResultsAutomatic registration to fat images performed better than automatic registration to OP images with visible contrast enhancement. Median vertical misalignment of the kidneys was 14 mm prior to registration, compared to 3 mm and 5 mm with registration to fat images and OP images, respectively (P = 0.03). Mean perfusion values and MR‐based glomerular filtration rates (GFR) were 233 ± 64 mL/100 mL/min and 60 ± 36 mL/minute, respectively, based on fat‐registered images. MR‐based GFR correlated with creatinine‐based GFR (P = 0.04) for fat‐registered images. For unregistered and OP‐registered images, this correlation was not significant.ConclusionAbsence of contrast changes on Dixon fat images improves registration in renal DCE MRI and enables automated postprocessing, resulting in a more accurate estimation of GFR. Magn Reson Med 80:66–76, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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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

Cited by 44 publications

References 51 publications

Renal blood flow using arterial spin labelling MRI and calculated filtration fraction in healthy adult kidney donors Pre-nephrectomy and post-nephrectomy

Renal blood flow using arterial spin labelling MRI and calculated filtration fraction in healthy adult kidney donors Pre-nephrectomy and post-nephrectomy

New magnetic resonance imaging methods in nephrology

Modified dixon‐based renal dynamic contrast‐enhanced MRI facilitates automated registration and perfusion analysis

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