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Physiologically Realistic and Validated Mathematical Liver Model Revels Hepatobiliary Transfer Rates for Gd-EOB-DTPA Using Human DCE-MRI Data

OBJECTIVES: Diffuse liver disease (DLD), such as non-alcoholic fatty liver disease (NASH) and cirrhosis, is a rapidly growing problem throughout the Westernized world. Magnetic resonance imaging (MRI), based on uptake of the hepatocyte-specific contrast agent (CA) Gd-EOB-DTPA, is a promising non-inv...

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Autores principales: Forsgren, Mikael Fredrik, Leinhard, Olof Dahlqvist, Dahlström, Nils, Cedersund, Gunnar, Lundberg, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991717/
https://www.ncbi.nlm.nih.gov/pubmed/24748411
http://dx.doi.org/10.1371/journal.pone.0095700
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author Forsgren, Mikael Fredrik
Leinhard, Olof Dahlqvist
Dahlström, Nils
Cedersund, Gunnar
Lundberg, Peter
author_facet Forsgren, Mikael Fredrik
Leinhard, Olof Dahlqvist
Dahlström, Nils
Cedersund, Gunnar
Lundberg, Peter
author_sort Forsgren, Mikael Fredrik
collection PubMed
description OBJECTIVES: Diffuse liver disease (DLD), such as non-alcoholic fatty liver disease (NASH) and cirrhosis, is a rapidly growing problem throughout the Westernized world. Magnetic resonance imaging (MRI), based on uptake of the hepatocyte-specific contrast agent (CA) Gd-EOB-DTPA, is a promising non-invasive approach for diagnosing DLD. However, to fully utilize the potential of such dynamic measurements for clinical or research purposes, more advanced methods for data analysis are required. METHODS: A mathematical model that can be used for such data-analysis was developed. Data was obtained from healthy human subjects using a clinical protocol with high spatial resolution. The model is based on ordinary differential equations and goes beyond local diffusion modeling, taking into account the complete system accessible to the CA. RESULTS: The presented model can describe the data accurately, which was confirmed using chi-square statistics. Furthermore, the model is minimal and identifiable, meaning that all parameters were determined with small degree of uncertainty. The model was also validated using independent data. CONCLUSIONS: We have developed a novel approach for determining previously undescribed physiological hepatic parameters in humans, associated with CA transport across the liver. The method has a potential for assessing regional liver function in clinical examinations of patients that are suffering of DLD and compromised hepatic function.
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spelling pubmed-39917172014-04-21 Physiologically Realistic and Validated Mathematical Liver Model Revels Hepatobiliary Transfer Rates for Gd-EOB-DTPA Using Human DCE-MRI Data Forsgren, Mikael Fredrik Leinhard, Olof Dahlqvist Dahlström, Nils Cedersund, Gunnar Lundberg, Peter PLoS One Research Article OBJECTIVES: Diffuse liver disease (DLD), such as non-alcoholic fatty liver disease (NASH) and cirrhosis, is a rapidly growing problem throughout the Westernized world. Magnetic resonance imaging (MRI), based on uptake of the hepatocyte-specific contrast agent (CA) Gd-EOB-DTPA, is a promising non-invasive approach for diagnosing DLD. However, to fully utilize the potential of such dynamic measurements for clinical or research purposes, more advanced methods for data analysis are required. METHODS: A mathematical model that can be used for such data-analysis was developed. Data was obtained from healthy human subjects using a clinical protocol with high spatial resolution. The model is based on ordinary differential equations and goes beyond local diffusion modeling, taking into account the complete system accessible to the CA. RESULTS: The presented model can describe the data accurately, which was confirmed using chi-square statistics. Furthermore, the model is minimal and identifiable, meaning that all parameters were determined with small degree of uncertainty. The model was also validated using independent data. CONCLUSIONS: We have developed a novel approach for determining previously undescribed physiological hepatic parameters in humans, associated with CA transport across the liver. The method has a potential for assessing regional liver function in clinical examinations of patients that are suffering of DLD and compromised hepatic function. Public Library of Science 2014-04-18 /pmc/articles/PMC3991717/ /pubmed/24748411 http://dx.doi.org/10.1371/journal.pone.0095700 Text en © 2014 Forsgren 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
Forsgren, Mikael Fredrik
Leinhard, Olof Dahlqvist
Dahlström, Nils
Cedersund, Gunnar
Lundberg, Peter
Physiologically Realistic and Validated Mathematical Liver Model Revels Hepatobiliary Transfer Rates for Gd-EOB-DTPA Using Human DCE-MRI Data
title Physiologically Realistic and Validated Mathematical Liver Model Revels Hepatobiliary Transfer Rates for Gd-EOB-DTPA Using Human DCE-MRI Data
title_full Physiologically Realistic and Validated Mathematical Liver Model Revels Hepatobiliary Transfer Rates for Gd-EOB-DTPA Using Human DCE-MRI Data
title_fullStr Physiologically Realistic and Validated Mathematical Liver Model Revels Hepatobiliary Transfer Rates for Gd-EOB-DTPA Using Human DCE-MRI Data
title_full_unstemmed Physiologically Realistic and Validated Mathematical Liver Model Revels Hepatobiliary Transfer Rates for Gd-EOB-DTPA Using Human DCE-MRI Data
title_short Physiologically Realistic and Validated Mathematical Liver Model Revels Hepatobiliary Transfer Rates for Gd-EOB-DTPA Using Human DCE-MRI Data
title_sort physiologically realistic and validated mathematical liver model revels hepatobiliary transfer rates for gd-eob-dtpa using human dce-mri data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991717/
https://www.ncbi.nlm.nih.gov/pubmed/24748411
http://dx.doi.org/10.1371/journal.pone.0095700
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