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High‐frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors
PURPOSE: To establish high‐frequency magnetic resonance electrical properties tomography (MREPT) as a novel contrast mechanism for the assessment of glioblastomas using a rat brain tumor model. METHODS: Six F98 intracranial tumor bearing rats were imaged longitudinally 8, 11 and 14 days after tumor...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603929/ https://www.ncbi.nlm.nih.gov/pubmed/33533114 http://dx.doi.org/10.1002/mrm.28685 |
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author | Lesbats, Clémentine Katoch, Nitish Minhas, Atul Singh Taylor, Arthur Kim, Hyung Joong Woo, Eung Je Poptani, Harish |
author_facet | Lesbats, Clémentine Katoch, Nitish Minhas, Atul Singh Taylor, Arthur Kim, Hyung Joong Woo, Eung Je Poptani, Harish |
author_sort | Lesbats, Clémentine |
collection | PubMed |
description | PURPOSE: To establish high‐frequency magnetic resonance electrical properties tomography (MREPT) as a novel contrast mechanism for the assessment of glioblastomas using a rat brain tumor model. METHODS: Six F98 intracranial tumor bearing rats were imaged longitudinally 8, 11 and 14 days after tumor cell inoculation. Conductivity and mean diffusivity maps were generated using MREPT and Diffusion Tensor Imaging. These maps were co‐registered with T(2)‐weighted images and volumes of interests (VOIs) were segmented from the normal brain, ventricles, edema, viable tumor, tumor rim, and tumor core regions. Longitudinal changes in conductivity and mean diffusivity (MD) values were compared in these regions. A correlation analysis was also performed between conductivity and mean diffusivity values. RESULTS: The conductivity of ventricles, edematous area and tumor regions (tumor rim, viable tumor, tumor core) was significantly higher (P < .01) compared to the contralateral cortex. The conductivity of the tumor increased over time while MD from the tumor did not change. A marginal positive correlation was noted between conductivity and MD values for tumor rim and viable tumor, whereas this correlation was negative for the tumor core. CONCLUSION: We demonstrate a novel contrast mechanism based on ionic concentration and mobility, which may aid in providing complementary information to water diffusion in probing the microenvironment of brain tumors. |
format | Online Article Text |
id | pubmed-8603929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86039292021-11-26 High‐frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors Lesbats, Clémentine Katoch, Nitish Minhas, Atul Singh Taylor, Arthur Kim, Hyung Joong Woo, Eung Je Poptani, Harish Magn Reson Med Full Papers—Preclinical and Clinical Imaging PURPOSE: To establish high‐frequency magnetic resonance electrical properties tomography (MREPT) as a novel contrast mechanism for the assessment of glioblastomas using a rat brain tumor model. METHODS: Six F98 intracranial tumor bearing rats were imaged longitudinally 8, 11 and 14 days after tumor cell inoculation. Conductivity and mean diffusivity maps were generated using MREPT and Diffusion Tensor Imaging. These maps were co‐registered with T(2)‐weighted images and volumes of interests (VOIs) were segmented from the normal brain, ventricles, edema, viable tumor, tumor rim, and tumor core regions. Longitudinal changes in conductivity and mean diffusivity (MD) values were compared in these regions. A correlation analysis was also performed between conductivity and mean diffusivity values. RESULTS: The conductivity of ventricles, edematous area and tumor regions (tumor rim, viable tumor, tumor core) was significantly higher (P < .01) compared to the contralateral cortex. The conductivity of the tumor increased over time while MD from the tumor did not change. A marginal positive correlation was noted between conductivity and MD values for tumor rim and viable tumor, whereas this correlation was negative for the tumor core. CONCLUSION: We demonstrate a novel contrast mechanism based on ionic concentration and mobility, which may aid in providing complementary information to water diffusion in probing the microenvironment of brain tumors. John Wiley and Sons Inc. 2021-02-02 2021-07 /pmc/articles/PMC8603929/ /pubmed/33533114 http://dx.doi.org/10.1002/mrm.28685 Text en © 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers—Preclinical and Clinical Imaging Lesbats, Clémentine Katoch, Nitish Minhas, Atul Singh Taylor, Arthur Kim, Hyung Joong Woo, Eung Je Poptani, Harish High‐frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors |
title | High‐frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors |
title_full | High‐frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors |
title_fullStr | High‐frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors |
title_full_unstemmed | High‐frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors |
title_short | High‐frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors |
title_sort | high‐frequency electrical properties tomography at 9.4t as a novel contrast mechanism for brain tumors |
topic | Full Papers—Preclinical and Clinical Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603929/ https://www.ncbi.nlm.nih.gov/pubmed/33533114 http://dx.doi.org/10.1002/mrm.28685 |
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