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Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile
PURPOSE: Glioblastoma and anaplastic astrocytoma represent the most commonly encountered high-grade-glioma (HGG) in adults. Although both neoplasms are very distinct entities in context of epidemiology, clinical course and prognosis, their appearance in conventional magnetic resonance imaging (MRI)...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049265/ https://www.ncbi.nlm.nih.gov/pubmed/33857203 http://dx.doi.org/10.1371/journal.pone.0249878 |
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author | Gihr, Georg Horvath-Rizea, Diana Hekeler, Elena Ganslandt, Oliver Henkes, Hans Hoffmann, Karl-Titus Scherlach, Cordula Schob, Stefan |
author_facet | Gihr, Georg Horvath-Rizea, Diana Hekeler, Elena Ganslandt, Oliver Henkes, Hans Hoffmann, Karl-Titus Scherlach, Cordula Schob, Stefan |
author_sort | Gihr, Georg |
collection | PubMed |
description | PURPOSE: Glioblastoma and anaplastic astrocytoma represent the most commonly encountered high-grade-glioma (HGG) in adults. Although both neoplasms are very distinct entities in context of epidemiology, clinical course and prognosis, their appearance in conventional magnetic resonance imaging (MRI) is very similar. In search for additional information aiding the distinction of potentially confusable neoplasms, histogram analysis of apparent diffusion coefficient (ADC) maps recently proved to be auxiliary in a number of entities. Therefore, our present exploratory retrospective study investigated whether ADC histogram profile parameters differ significantly between anaplastic astrocytoma and glioblastoma, reflect the proliferation index Ki-67, or are associated with the prognostic relevant MGMT (methylguanine-DNA methyl-transferase) promotor methylation status. METHODS: Pre-surgical ADC volumes of 56 HGG patients were analyzed by histogram-profiling. Association between extracted histogram parameters and neuropathology including WHO-grade, Ki-67 expression and MGMT promotor methylation status was investigated due to comparative and correlative statistics. RESULTS: Grade IV gliomas were more heterogeneous than grade III tumors. More specifically, ADCmin and the lowest percentile ADCp10 were significantly lower, whereas ADCmax, ADC standard deviation and Skewness were significantly higher in the glioblastoma group. ADCmin, ADCmax, ADC standard deviation, Kurtosis and Entropy of ADC histogram were significantly correlated with Ki-67 expression. No significant difference could be revealed by comparison of ADC histogram parameters between MGMT promotor methylated and unmethylated HGG. CONCLUSIONS: ADC histogram parameters differ significantly between glioblastoma and anaplastic astrocytoma and show distinct associations with the proliferative activity in both HGG. Our results suggest ADC histogram profiling as promising biomarker for differentiation of both, however, further studies with prospective multicenter design are wanted to confirm and further elaborate this hypothesis. |
format | Online Article Text |
id | pubmed-8049265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80492652021-04-21 Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile Gihr, Georg Horvath-Rizea, Diana Hekeler, Elena Ganslandt, Oliver Henkes, Hans Hoffmann, Karl-Titus Scherlach, Cordula Schob, Stefan PLoS One Research Article PURPOSE: Glioblastoma and anaplastic astrocytoma represent the most commonly encountered high-grade-glioma (HGG) in adults. Although both neoplasms are very distinct entities in context of epidemiology, clinical course and prognosis, their appearance in conventional magnetic resonance imaging (MRI) is very similar. In search for additional information aiding the distinction of potentially confusable neoplasms, histogram analysis of apparent diffusion coefficient (ADC) maps recently proved to be auxiliary in a number of entities. Therefore, our present exploratory retrospective study investigated whether ADC histogram profile parameters differ significantly between anaplastic astrocytoma and glioblastoma, reflect the proliferation index Ki-67, or are associated with the prognostic relevant MGMT (methylguanine-DNA methyl-transferase) promotor methylation status. METHODS: Pre-surgical ADC volumes of 56 HGG patients were analyzed by histogram-profiling. Association between extracted histogram parameters and neuropathology including WHO-grade, Ki-67 expression and MGMT promotor methylation status was investigated due to comparative and correlative statistics. RESULTS: Grade IV gliomas were more heterogeneous than grade III tumors. More specifically, ADCmin and the lowest percentile ADCp10 were significantly lower, whereas ADCmax, ADC standard deviation and Skewness were significantly higher in the glioblastoma group. ADCmin, ADCmax, ADC standard deviation, Kurtosis and Entropy of ADC histogram were significantly correlated with Ki-67 expression. No significant difference could be revealed by comparison of ADC histogram parameters between MGMT promotor methylated and unmethylated HGG. CONCLUSIONS: ADC histogram parameters differ significantly between glioblastoma and anaplastic astrocytoma and show distinct associations with the proliferative activity in both HGG. Our results suggest ADC histogram profiling as promising biomarker for differentiation of both, however, further studies with prospective multicenter design are wanted to confirm and further elaborate this hypothesis. Public Library of Science 2021-04-15 /pmc/articles/PMC8049265/ /pubmed/33857203 http://dx.doi.org/10.1371/journal.pone.0249878 Text en © 2021 Gihr et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gihr, Georg Horvath-Rizea, Diana Hekeler, Elena Ganslandt, Oliver Henkes, Hans Hoffmann, Karl-Titus Scherlach, Cordula Schob, Stefan Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile |
title | Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile |
title_full | Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile |
title_fullStr | Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile |
title_full_unstemmed | Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile |
title_short | Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile |
title_sort | diffusion weighted imaging in high-grade gliomas: a histogram-based analysis of apparent diffusion coefficient profile |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049265/ https://www.ncbi.nlm.nih.gov/pubmed/33857203 http://dx.doi.org/10.1371/journal.pone.0249878 |
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