A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.

<h4>Objectives</h4>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).<h4>Methods&...

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Main Authors: Kai Jiang, Christopher M Ferguson, Abdelrhman Abumoawad, Ahmed Saad, Stephen C Textor, Lilach O Lerman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0219605
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spelling doaj-3ee56ccd8b7b4d4ca8f18a1daf74378f2021-03-04T10:28:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01147e021960510.1371/journal.pone.0219605A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.Kai JiangChristopher M FergusonAbdelrhman AbumoawadAhmed SaadStephen C TextorLilach O Lerman<h4>Objectives</h4>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).<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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.https://doi.org/10.1371/journal.pone.0219605
collection DOAJ
language English
format Article
sources DOAJ
author Kai Jiang
Christopher M Ferguson
Abdelrhman Abumoawad
Ahmed Saad
Stephen C Textor
Lilach O Lerman
spellingShingle Kai Jiang
Christopher M Ferguson
Abdelrhman Abumoawad
Ahmed Saad
Stephen C Textor
Lilach O Lerman
A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.
PLoS ONE
author_facet Kai Jiang
Christopher M Ferguson
Abdelrhman Abumoawad
Ahmed Saad
Stephen C Textor
Lilach O Lerman
author_sort Kai Jiang
title A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.
title_short A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.
title_full A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.
title_fullStr A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.
title_full_unstemmed A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.
title_sort modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description <h4>Objectives</h4>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).<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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.
url https://doi.org/10.1371/journal.pone.0219605
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