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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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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