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Assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging

Compartmental models for evaluation of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets assume a homogeneous interstitital volume distribution and homogeneous contrast agent (CA) distribution within each compartment, neglecting effects of CA diffusion within the compartments....

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Detalles Bibliográficos
Autores principales: Schimpf, Olga, Hindel, Stefan, Lüdemann, Lutz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Istituti Editoriali e Poligrafici Internazionali 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320396/
https://www.ncbi.nlm.nih.gov/pubmed/28139354
http://dx.doi.org/10.1016/j.ejmp.2017.01.010
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author Schimpf, Olga
Hindel, Stefan
Lüdemann, Lutz
author_facet Schimpf, Olga
Hindel, Stefan
Lüdemann, Lutz
author_sort Schimpf, Olga
collection PubMed
description Compartmental models for evaluation of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets assume a homogeneous interstitital volume distribution and homogeneous contrast agent (CA) distribution within each compartment, neglecting effects of CA diffusion within the compartments. When necrotic or micronecrotic tumor tissue is present, these assumptions may no longer be valid. Therefore, the present study investigates the validity of three compartmental models in assessing tumors with necrotic components. The general diffusion equation for inhomogeneous tissue was used to simulate the extravasation of a low-molecular-weight contrast agent from a feeding vessel into the interstitial space. The simulated concentration-time curves were evaluated using the extended Tofts model, a parallel 3-compartment model, and a sequential 3-compartment model. The extended Tofts model overestimated the interstitial volume fraction by a median of 6.9% resp. 10.0% and the parallel 3-compartment model by 8.6% resp. 15.5%, while the sequential 3-compartment model overestimated it by 0.2% resp. underestimated it by 18.8% when simulating a mean vessel distance of 100 μm resp. 150 μm. Overall, the sequential 3-compartment model provided more reliable results both for the total fractional interstitial volume and for the interstitial subcompartments.
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spelling pubmed-53203962017-02-27 Assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging Schimpf, Olga Hindel, Stefan Lüdemann, Lutz Phys Med Original Paper Compartmental models for evaluation of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets assume a homogeneous interstitital volume distribution and homogeneous contrast agent (CA) distribution within each compartment, neglecting effects of CA diffusion within the compartments. When necrotic or micronecrotic tumor tissue is present, these assumptions may no longer be valid. Therefore, the present study investigates the validity of three compartmental models in assessing tumors with necrotic components. The general diffusion equation for inhomogeneous tissue was used to simulate the extravasation of a low-molecular-weight contrast agent from a feeding vessel into the interstitial space. The simulated concentration-time curves were evaluated using the extended Tofts model, a parallel 3-compartment model, and a sequential 3-compartment model. The extended Tofts model overestimated the interstitial volume fraction by a median of 6.9% resp. 10.0% and the parallel 3-compartment model by 8.6% resp. 15.5%, while the sequential 3-compartment model overestimated it by 0.2% resp. underestimated it by 18.8% when simulating a mean vessel distance of 100 μm resp. 150 μm. Overall, the sequential 3-compartment model provided more reliable results both for the total fractional interstitial volume and for the interstitial subcompartments. Istituti Editoriali e Poligrafici Internazionali 2017-02 /pmc/articles/PMC5320396/ /pubmed/28139354 http://dx.doi.org/10.1016/j.ejmp.2017.01.010 Text en © 2017 Associazione Italiana di Fisica Medica. Elsevier Ltd. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Paper
Schimpf, Olga
Hindel, Stefan
Lüdemann, Lutz
Assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging
title Assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging
title_full Assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging
title_fullStr Assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging
title_full_unstemmed Assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging
title_short Assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging
title_sort assessment of micronecrotic tumor tissue using dynamic contrast-enhanced magnetic resonance imaging
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320396/
https://www.ncbi.nlm.nih.gov/pubmed/28139354
http://dx.doi.org/10.1016/j.ejmp.2017.01.010
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