A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.
Aged
Atherosclerosis
/ complications
Contrast Media
/ administration & dosage
Essential Hypertension
/ diagnosis
Female
Glomerular Filtration Rate
/ physiology
Humans
Image Processing, Computer-Assisted
/ methods
Kidney
/ blood supply
Male
Middle Aged
Models, Biological
Prospective Studies
Renal Artery Obstruction
/ diagnosis
Renal Circulation
/ physiology
Reproducibility of Results
Tomography, X-Ray Computed
/ methods
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2019
2019
Historique:
received:
20
02
2019
accepted:
27
06
2019
entrez:
11
7
2019
pubmed:
11
7
2019
medline:
27
2
2020
Statut:
epublish
Résumé
To validate and adapt a modified two-compartment model, originally developed for magnetic resonance imaging, for measuring human single-kidney glomerular filtration rate (GFR) and perfusion using dynamic contrast-enhanced computed tomography (DCE-CT). This prospective study was approved by the institutional review board, and written informed consent was obtained from all patients. Thirty-eight patients with essential hypertension (EH, n = 13) or atherosclerotic renal artery stenosis (ARAS, n = 25) underwent renal DCE-CT for GFR and perfusion measurement using a modified two-compartment model. Iothalamate clearance was used to measure reference total GFR, which was apportioned into single-kidney GFR by renal blood flow. Renal perfusion was also calculated using a conventional deconvolution algorithm. Validation of GFR and perfusion and inter-observer reproducibility, were conducted by using the Pearson correlation and Bland-Altman analysis. Both the two-compartment model and iothalamate clearance detected in ARAS patients lower GFR in the stenotic compared to the contralateral and EH kidneys. GFRs measured by DCE-CT and iothalamate clearance showed a close match (r = 0.94, P<0.001, and mean difference 2.5±12.2mL/min). Inter-observer bias and variation in model-derived GFR (r = 0.97, P<0.001; mean difference, 0.3±7.7mL/min) were minimal. Renal perfusion by deconvolution agreed well with that by the compartment model when the blood transit delay from abdominal aorta to kidney was negligible. The proposed two-compartment model faithfully depicts contrast dynamics using DCE-CT and may provide a reliable tool for measuring human single-kidney GFR and perfusion.
Identifiants
pubmed: 31291361
doi: 10.1371/journal.pone.0219605
pii: PONE-D-19-05129
pmc: PMC6619810
doi:
Substances chimiques
Contrast Media
0
Types de publication
Journal Article
Observational Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0219605Subventions
Organisme : NIDDK NIH HHS
ID : R01 DK100081
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000135
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002377
Pays : United States
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Radiology. 2015 Aug;276(2):490-8
pubmed: 25848903
Radiology. 2010 Oct;257(1):158-66
pubmed: 20851940
Invest Radiol. 1996 Apr;31(4):204-10
pubmed: 8721959
Eur J Radiol. 2001 Sep;39(3):201-8
pubmed: 11566250
Am J Physiol Heart Circ Physiol. 2006 Oct;291(4):H1700-8
pubmed: 16714362
Am J Physiol Renal Physiol. 2013 Mar 15;304(6):F625-33
pubmed: 23269649
Mayo Clin Proc. 1975 Nov;50(11):664-8
pubmed: 1186298
J Digit Imaging. 2013 Apr;26(2):344-52
pubmed: 22832894
Invest Radiol. 2014 Oct;49(10):666-74
pubmed: 24879298
J Cereb Blood Flow Metab. 1983 Mar;3(1):1-7
pubmed: 6822610
Radiology. 2000 Nov;217(2):581-6
pubmed: 11058664
J Urol. 1991 Sep;146(3):675-9
pubmed: 1875470
Radiology. 1994 Mar;190(3):813-8
pubmed: 8115632
J Magn Reson Imaging. 2004 Nov;20(5):843-9
pubmed: 15503326
Nephrol Dial Transplant. 2010 Apr;25(4):1079-87
pubmed: 19934087
Am J Kidney Dis. 1997 Nov;30(5):646-52
pubmed: 9370179
Clin J Am Soc Nephrol. 2009 Jan;4(1):77-85
pubmed: 19005012
Am J Kidney Dis. 2010 Jul;56(1):39-49
pubmed: 20537455
Radiology. 2004 Jan;230(1):221-6
pubmed: 14645882
Eur Radiol. 2014 Sep;24(9):2309-18
pubmed: 25001085
Radiology. 2007 Feb;242(2):417-24
pubmed: 17255413
MAGMA. 2016 Jun;29(3):417-33
pubmed: 27008461
Magn Reson Imaging. 2000 Jun;18(5):587-95
pubmed: 10913720
Radiology. 2017 Feb;282(2):552-560
pubmed: 27556274
Invest Radiol. 2010 Jul;45(7):387-92
pubmed: 20479647
Magn Reson Med. 1996 Nov;36(5):715-25
pubmed: 8916022
Hypertension. 1991 Jun;17(6 Pt 2):982-8
pubmed: 2045180
Radiology. 2011 Aug;260(2):414-20
pubmed: 21673226
Am J Kidney Dis. 2014 Sep;64(3):411-24
pubmed: 24840668
J Magn Reson Imaging. 2009 Feb;29(2):371-82
pubmed: 19161190
Magn Reson Imaging. 2014 Jul;32(6):781-5
pubmed: 24631714
Eur Heart J. 2013 Feb;34(7):540-548a
pubmed: 22771675
Eur Radiol. 2012 Jun;22(6):1320-30
pubmed: 22415410
Sci Rep. 2017 Sep 20;7(1):12036
pubmed: 28931946
J Am Soc Nephrol. 1993 Nov;4(5):1159-71
pubmed: 8305642
Ann Intern Med. 2009 May 5;150(9):604-12
pubmed: 19414839
Arch Intern Med. 2009 Dec 14;169(22):2078-86
pubmed: 20008690
Circ Cardiovasc Interv. 2017 Sep;10(9):
pubmed: 28916603
Am J Physiol Renal Physiol. 2001 Oct;281(4):F630-8
pubmed: 11553509
Magn Reson Imaging Clin N Am. 2008 Nov;16(4):597-611, viii
pubmed: 18926425
NMR Biomed. 2013 Oct;26(10):1225-32
pubmed: 23592238
Magn Reson Med. 2008 Feb;59(2):278-88
pubmed: 18228576
Magn Reson Med. 2018 Jun;79(6):2935-2943
pubmed: 29034514
Stem Cells. 2012 May;30(5):1030-41
pubmed: 22290832
Eur J Radiol. 2015 Dec;84(12):2359-67
pubmed: 26137905
Am J Physiol Renal Physiol. 2007 May;292(5):F1548-59
pubmed: 17213464
Sci Rep. 2018 May 2;8(1):6868
pubmed: 29720622
Invest Radiol. 2012 Aug;47(8):490-6
pubmed: 22766911
J Am Soc Nephrol. 2017 Sep;28(9):2777-2785
pubmed: 28461553
Invest Radiol. 2008 Jan;43(1):40-8
pubmed: 18097276
J Nucl Med Technol. 2013 Jun;41(2):67-75
pubmed: 23658207
Circ Res. 2016 Jul 22;119(3):418-21
pubmed: 27458197
Magn Reson Med. 2007 Jun;57(6):1012-8
pubmed: 17534906