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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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Istituti Editoriali e Poligrafici Internazionali
2017
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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. |
format | Online Article Text |
id | pubmed-5320396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Istituti Editoriali e Poligrafici Internazionali |
record_format | MEDLINE/PubMed |
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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