The importance of AIF ROI selection in DCE-MRI renography: reproducibility and variability of renal perfusion and filtration
- PMID: 19541441
- DOI: 10.1016/j.ejrad.2009.05.041
The importance of AIF ROI selection in DCE-MRI renography: reproducibility and variability of renal perfusion and filtration
Abstract
Purpose: The aim of this study was to investigate (a) the effect the choice of the region of interest (ROI) defining the aortic input function (AIF) has on the estimation of renal perfusion and filtration in dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) renography, and (b) the reproducibility of these parameters. Using renal DCE-MRI and a three-compartment model analysis, this work evaluated the effect two different AIFs, derived from variable sized ROIs in the aorta, has on calculating DCE-MRI renal perfusion and filtration values in a group of healthy adult volunteers who underwent two consecutive renal DCE-MRI studies.
Methods: Fifteen healthy volunteers underwent two DCE-MRI studies under similar physiological conditions. Oblique-coronal DCE-MRI data volumes were acquired on a 1.5 T Siemens Avanto scanner with a 3D-FLASH pulse-sequence (TE/TR=0.53/1.63 ms, flip angle=17 degrees , acquisition matrix=128 x 104 voxels, strong fat saturation, PAT factor=2 (GRAPPA) and 400 mm x 325 mm FOV). Each dynamic dataset consisted of 18 slices of 7.5mm thickness (no gap) and an in-plane resolution of 3.1 mm x 3.1mm, acquired every 2.5s for not less than 5 minutes. During the MR scan a dose of 0.05 m mol (0.1 mL)kg(-1) body weight of dimeglumine gadopentetate (Magnevist) was injected intravenously (2 mLs(-1) injection rate), followed by a 15 mL saline flush at the same rate, using a MR-compatible automated injector (Spectris). Two AIFs were defined for each volunteer by drawing two ROIs in the aorta for each study. Renal perfusion and glomerular filtration rate (GFR) values were then calculated for each of the AIFs using a modified Tofts Renal Model (TRM). Both renal perfusion and GFR were expressed in mL min(-1)100 mL(-1) of tissue.
Results and conclusion: Inter-individual reproducibility tests for renal perfusion and glomerular filtration rate showed that the size of AIF ROIs significantly affects calculated values of perfusion and GFR (p-values <0.02). No significant differences were observed when comparing perfusion and GFR values in the same volunteer between scans performed on different days (p-values >0.22). From our study we conclude that while DCE-MRI derived indices of renal function are reproducible in the same individual when imaged on different days, the size of the aortic ROI and hence the AIF has a significant influence on calculated renal perfusion and GFR values. Currently there is no accepted standard for drawing the aortic ROI and no standardized approach for the AIF definition in renal DCE-MRI studies.
Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.
Similar articles
-
Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study.Eur J Radiol. 2009 Sep;71(3):576-81. doi: 10.1016/j.ejrad.2008.09.025. Epub 2008 Nov 11. Eur J Radiol. 2009. PMID: 19004588
-
Quantification of renal perfusion: comparison of arterial spin labeling and dynamic contrast-enhanced MRI.J Magn Reson Imaging. 2011 Sep;34(3):608-15. doi: 10.1002/jmri.22660. Epub 2011 Jul 14. J Magn Reson Imaging. 2011. PMID: 21761490
-
Absolute quantification of regional renal blood flow in swine by dynamic contrast-enhanced magnetic resonance imaging using a blood pool contrast agent.Invest Radiol. 2009 Mar;44(3):125-34. doi: 10.1097/RLI.0b013e318193598c. Invest Radiol. 2009. PMID: 19151609
-
Diffusion and perfusion of the kidney.Eur J Radiol. 2010 Dec;76(3):337-47. doi: 10.1016/j.ejrad.2010.05.033. Epub 2010 Jun 26. Eur J Radiol. 2010. PMID: 20580179 Review.
-
Perfusion imaging.J Magn Reson Imaging. 2014 Aug;40(2):269-79. doi: 10.1002/jmri.24382. Epub 2013 Nov 25. J Magn Reson Imaging. 2014. PMID: 24988916 Review.
Cited by
-
An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited.BMC Med Imaging. 2016 Jan 14;16:7. doi: 10.1186/s12880-016-0109-0. BMC Med Imaging. 2016. PMID: 26767969 Free PMC article.
-
Reproducibility of magnetic resonance perfusion imaging.PLoS One. 2014 Feb 25;9(2):e89797. doi: 10.1371/journal.pone.0089797. eCollection 2014. PLoS One. 2014. PMID: 24587040 Free PMC article.
-
Oncologic Angiogenesis Imaging in the clinic---how and why.Imaging Med. 2011 Sep;3(4):445-457. doi: 10.2217/iim.11.31. Imaging Med. 2011. PMID: 22132017 Free PMC article.
-
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.Eur Radiol. 2012 Jun;22(6):1320-30. doi: 10.1007/s00330-012-2382-9. Epub 2012 Mar 14. Eur Radiol. 2012. PMID: 22415410
-
Multiparametric MRI based assessment of kidney injury in a mouse model of ischemia reperfusion injury.Sci Rep. 2024 Aug 27;14(1):19922. doi: 10.1038/s41598-024-70401-x. Sci Rep. 2024. PMID: 39198525 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous