Dataset Information

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

ABSTRACT: OBJECTIVES: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). METHODS: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. RESULTS: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. CONCLUSION: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.

SUBMITTER: Jiang K

PROVIDER: S-EPMC6619810 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Jiang Kai K Ferguson Christopher M CM Abumoawad Abdelrhman A Saad Ahmed A Textor Stephen C SC Lerman Lilach O LO

PloS one 20190710 7

<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 ...[more]

PMID: 31291361

Similar Datasets

Project description:Renal 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.DCE 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.Automatic 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.Absence 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.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets