Cargando…

Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model

OBJECTIVE: To establish a simple two-compartment model for glomerular filtration rate (GFR) and renal plasma flow (RPF) estimations by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: A total of eight New Zealand white rabbits were included in DCE-MRI. The two-c...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Bin, Zhang, Yudong, Song, Xiaojian, Wang, Xiaoying, Zhang, Jue, Fang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4139329/
https://www.ncbi.nlm.nih.gov/pubmed/25141138
http://dx.doi.org/10.1371/journal.pone.0105087
_version_ 1782331347413499904
author Chen, Bin
Zhang, Yudong
Song, Xiaojian
Wang, Xiaoying
Zhang, Jue
Fang, Jing
author_facet Chen, Bin
Zhang, Yudong
Song, Xiaojian
Wang, Xiaoying
Zhang, Jue
Fang, Jing
author_sort Chen, Bin
collection PubMed
description OBJECTIVE: To establish a simple two-compartment model for glomerular filtration rate (GFR) and renal plasma flow (RPF) estimations by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: A total of eight New Zealand white rabbits were included in DCE-MRI. The two-compartment model was modified with the impulse residue function in this study. First, the reliability of GFR measurement of the proposed model was compared with other published models in Monte Carlo simulation at different noise levels. Then, functional parameters were estimated in six healthy rabbits to test the feasibility of the new model. Moreover, in order to investigate its validity of GFR estimation, two rabbits underwent acute ischemia surgical procedure in unilateral kidney before DCE-MRI, and pixel-wise measurements were implemented to detect the cortical GFR alterations between normal and abnormal kidneys. RESULTS: The lowest variability of GFR and RPF measurements were found in the proposed model in the comparison. Mean GFR was 3.03±1.1 ml/min and mean RPF was 2.64±0.5 ml/g/min in normal animals, which were in good agreement with the published values. Moreover, large GFR decline was found in dysfunction kidneys comparing to the contralateral control group. CONCLUSION: Results in our study demonstrate that measurement of renal kinetic parameters based on the proposed model is feasible and it has the ability to discriminate GFR changes in healthy and diseased kidneys.
format Online
Article
Text
id pubmed-4139329
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-41393292014-08-25 Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model Chen, Bin Zhang, Yudong Song, Xiaojian Wang, Xiaoying Zhang, Jue Fang, Jing PLoS One Research Article OBJECTIVE: To establish a simple two-compartment model for glomerular filtration rate (GFR) and renal plasma flow (RPF) estimations by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: A total of eight New Zealand white rabbits were included in DCE-MRI. The two-compartment model was modified with the impulse residue function in this study. First, the reliability of GFR measurement of the proposed model was compared with other published models in Monte Carlo simulation at different noise levels. Then, functional parameters were estimated in six healthy rabbits to test the feasibility of the new model. Moreover, in order to investigate its validity of GFR estimation, two rabbits underwent acute ischemia surgical procedure in unilateral kidney before DCE-MRI, and pixel-wise measurements were implemented to detect the cortical GFR alterations between normal and abnormal kidneys. RESULTS: The lowest variability of GFR and RPF measurements were found in the proposed model in the comparison. Mean GFR was 3.03±1.1 ml/min and mean RPF was 2.64±0.5 ml/g/min in normal animals, which were in good agreement with the published values. Moreover, large GFR decline was found in dysfunction kidneys comparing to the contralateral control group. CONCLUSION: Results in our study demonstrate that measurement of renal kinetic parameters based on the proposed model is feasible and it has the ability to discriminate GFR changes in healthy and diseased kidneys. Public Library of Science 2014-08-20 /pmc/articles/PMC4139329/ /pubmed/25141138 http://dx.doi.org/10.1371/journal.pone.0105087 Text en © 2014 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chen, Bin
Zhang, Yudong
Song, Xiaojian
Wang, Xiaoying
Zhang, Jue
Fang, Jing
Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model
title Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model
title_full Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model
title_fullStr Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model
title_full_unstemmed Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model
title_short Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model
title_sort quantitative estimation of renal function with dynamic contrast-enhanced mri using a modified two-compartment model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4139329/
https://www.ncbi.nlm.nih.gov/pubmed/25141138
http://dx.doi.org/10.1371/journal.pone.0105087
work_keys_str_mv AT chenbin quantitativeestimationofrenalfunctionwithdynamiccontrastenhancedmriusingamodifiedtwocompartmentmodel
AT zhangyudong quantitativeestimationofrenalfunctionwithdynamiccontrastenhancedmriusingamodifiedtwocompartmentmodel
AT songxiaojian quantitativeestimationofrenalfunctionwithdynamiccontrastenhancedmriusingamodifiedtwocompartmentmodel
AT wangxiaoying quantitativeestimationofrenalfunctionwithdynamiccontrastenhancedmriusingamodifiedtwocompartmentmodel
AT zhangjue quantitativeestimationofrenalfunctionwithdynamiccontrastenhancedmriusingamodifiedtwocompartmentmodel
AT fangjing quantitativeestimationofrenalfunctionwithdynamiccontrastenhancedmriusingamodifiedtwocompartmentmodel