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Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma

Apparent diffusion coefficient has limits to differentiate solid tumor from normal tissue or edema in glioblastoma (GBM). This study investigated a microstructure model (MSM) in GBM using a clinically available diffusion imaging technique. The MSM was modified to integrate with bi-polar diffusion gr...

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Autores principales: Li, Yuan, Kim, Michelle, Lawrence, Theodore S., Parmar, Hemant, Cao, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138521/
https://www.ncbi.nlm.nih.gov/pubmed/32280748
http://dx.doi.org/10.18383/j.tom.2020.00018
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author Li, Yuan
Kim, Michelle
Lawrence, Theodore S.
Parmar, Hemant
Cao, Yue
author_facet Li, Yuan
Kim, Michelle
Lawrence, Theodore S.
Parmar, Hemant
Cao, Yue
author_sort Li, Yuan
collection PubMed
description Apparent diffusion coefficient has limits to differentiate solid tumor from normal tissue or edema in glioblastoma (GBM). This study investigated a microstructure model (MSM) in GBM using a clinically available diffusion imaging technique. The MSM was modified to integrate with bi-polar diffusion gradient waveforms, and applied to 30 patients with newly diagnosed GBM. Diffusion-weighted (DW) images acquired on a 3 T scanner with b-values from 0 to 2500 s/mm(2) were fitted in volumes of interest (VOIs) of solid tumor to obtain the apparent restriction size of intracellular water (ARS), the fractional volume of intracellular water (V(in)), and extracellular (D(ex)) water diffusivity. The parameters in solid tumor were compared with those of other tissue types by Students’ t test. For comparison, DW images were fitted by conventional mono-exponential and bi-exponential models. ARS, D(ex), and V(in) from the MSM in tumor VOIs were significantly greater than those in WM, GM, and edema (P values of .01–.001). ARS values in solid tumors (from 21.6 to 34.5 um) had absolutely no overlap with those in all other tissue types (from 0.9 to 3.5 um). V(in) values showed a descending order from solid tumor (from 0.32 to 0.52) to WM, GM, and edema (from 0.05 to 0.25), consisting with the descending cellularity in these tissue types. The parameters from mono-exponential and bi-exponential models could not significantly differentiate solid tumor from all other tissue types, particularly from edema. Further development and histopathological validation of the MSM will warrant its role in clinical management of GBM.
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spelling pubmed-71385212020-04-11 Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma Li, Yuan Kim, Michelle Lawrence, Theodore S. Parmar, Hemant Cao, Yue Tomography Research Article Apparent diffusion coefficient has limits to differentiate solid tumor from normal tissue or edema in glioblastoma (GBM). This study investigated a microstructure model (MSM) in GBM using a clinically available diffusion imaging technique. The MSM was modified to integrate with bi-polar diffusion gradient waveforms, and applied to 30 patients with newly diagnosed GBM. Diffusion-weighted (DW) images acquired on a 3 T scanner with b-values from 0 to 2500 s/mm(2) were fitted in volumes of interest (VOIs) of solid tumor to obtain the apparent restriction size of intracellular water (ARS), the fractional volume of intracellular water (V(in)), and extracellular (D(ex)) water diffusivity. The parameters in solid tumor were compared with those of other tissue types by Students’ t test. For comparison, DW images were fitted by conventional mono-exponential and bi-exponential models. ARS, D(ex), and V(in) from the MSM in tumor VOIs were significantly greater than those in WM, GM, and edema (P values of .01–.001). ARS values in solid tumors (from 21.6 to 34.5 um) had absolutely no overlap with those in all other tissue types (from 0.9 to 3.5 um). V(in) values showed a descending order from solid tumor (from 0.32 to 0.52) to WM, GM, and edema (from 0.05 to 0.25), consisting with the descending cellularity in these tissue types. The parameters from mono-exponential and bi-exponential models could not significantly differentiate solid tumor from all other tissue types, particularly from edema. Further development and histopathological validation of the MSM will warrant its role in clinical management of GBM. Grapho Publications, LLC 2020-03 /pmc/articles/PMC7138521/ /pubmed/32280748 http://dx.doi.org/10.18383/j.tom.2020.00018 Text en © 2020 The Authors. Published by Grapho Publications, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Li, Yuan
Kim, Michelle
Lawrence, Theodore S.
Parmar, Hemant
Cao, Yue
Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma
title Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma
title_full Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma
title_fullStr Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma
title_full_unstemmed Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma
title_short Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma
title_sort microstructure modeling of high b-value diffusion-weighted images in glioblastoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138521/
https://www.ncbi.nlm.nih.gov/pubmed/32280748
http://dx.doi.org/10.18383/j.tom.2020.00018
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