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Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy

Quantitative magnetization transfer (qMT) was used as a biomarker to monitor glioblastoma (GBM) response to chemo-radiation and identify the earliest time-point qMT could differentiate progressors from non-progressors. Nineteen GBM patients were recruited and MRI-scanned before (Day(0)), two weeks (...

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Autores principales: Mehrabian, Hatef, Myrehaug, Sten, Soliman, Hany, Sahgal, Arjun, Stanisz, Greg J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802834/
https://www.ncbi.nlm.nih.gov/pubmed/29410469
http://dx.doi.org/10.1038/s41598-018-20624-6
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author Mehrabian, Hatef
Myrehaug, Sten
Soliman, Hany
Sahgal, Arjun
Stanisz, Greg J.
author_facet Mehrabian, Hatef
Myrehaug, Sten
Soliman, Hany
Sahgal, Arjun
Stanisz, Greg J.
author_sort Mehrabian, Hatef
collection PubMed
description Quantitative magnetization transfer (qMT) was used as a biomarker to monitor glioblastoma (GBM) response to chemo-radiation and identify the earliest time-point qMT could differentiate progressors from non-progressors. Nineteen GBM patients were recruited and MRI-scanned before (Day(0)), two weeks (Day(14)), and four weeks (Day(28)) into the treatment, and one month after the end of the treatment (Day(70)). Comprehensive qMT data was acquired, and a two-pool MT model was fit to the data. Response was determined at 3–8 months following the end of chemo-radiation. The amount of magnetization transfer ([Formula: see text] ) was significantly lower in GBM compared to normal appearing white matter (p < 0.001). Statistically significant difference was observed in [Formula: see text] at Day(0) between non-progressors (1.06 ± 0.24) and progressors (1.64 ± 0.48), with p = 0.006. Changes in several qMT parameters between Day(14) and Day(0) were able to differentiate the two cohorts with [Formula: see text] providing the best separation (relative [Formula: see text]  = 1.34 ± 0.21, relative [Formula: see text]  = 1.07 ± 0.08, p = 0.031). Thus, qMT characteristics of GBM are more sensitive to treatment effects compared to clinically used metrics. qMT could assess tumor aggressiveness and identify early progressors even before the treatment. Changes in qMT parameters within the first 14 days of the treatment were capable of separating early progressors from non-progressors, making qMT a promising biomarker to guide adaptive radiotherapy for GBM.
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spelling pubmed-58028342018-02-14 Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy Mehrabian, Hatef Myrehaug, Sten Soliman, Hany Sahgal, Arjun Stanisz, Greg J. Sci Rep Article Quantitative magnetization transfer (qMT) was used as a biomarker to monitor glioblastoma (GBM) response to chemo-radiation and identify the earliest time-point qMT could differentiate progressors from non-progressors. Nineteen GBM patients were recruited and MRI-scanned before (Day(0)), two weeks (Day(14)), and four weeks (Day(28)) into the treatment, and one month after the end of the treatment (Day(70)). Comprehensive qMT data was acquired, and a two-pool MT model was fit to the data. Response was determined at 3–8 months following the end of chemo-radiation. The amount of magnetization transfer ([Formula: see text] ) was significantly lower in GBM compared to normal appearing white matter (p < 0.001). Statistically significant difference was observed in [Formula: see text] at Day(0) between non-progressors (1.06 ± 0.24) and progressors (1.64 ± 0.48), with p = 0.006. Changes in several qMT parameters between Day(14) and Day(0) were able to differentiate the two cohorts with [Formula: see text] providing the best separation (relative [Formula: see text]  = 1.34 ± 0.21, relative [Formula: see text]  = 1.07 ± 0.08, p = 0.031). Thus, qMT characteristics of GBM are more sensitive to treatment effects compared to clinically used metrics. qMT could assess tumor aggressiveness and identify early progressors even before the treatment. Changes in qMT parameters within the first 14 days of the treatment were capable of separating early progressors from non-progressors, making qMT a promising biomarker to guide adaptive radiotherapy for GBM. Nature Publishing Group UK 2018-02-06 /pmc/articles/PMC5802834/ /pubmed/29410469 http://dx.doi.org/10.1038/s41598-018-20624-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Mehrabian, Hatef
Myrehaug, Sten
Soliman, Hany
Sahgal, Arjun
Stanisz, Greg J.
Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy
title Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy
title_full Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy
title_fullStr Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy
title_full_unstemmed Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy
title_short Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy
title_sort quantitative magnetization transfer in monitoring glioblastoma (gbm) response to therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802834/
https://www.ncbi.nlm.nih.gov/pubmed/29410469
http://dx.doi.org/10.1038/s41598-018-20624-6
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