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Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II–IV?
BACKGROUND: It is already known that gliomas biomolecular parameters have a reliable prognostic value. However, an invasive procedure is required to determine them. Our aim was to better understand the clinical characteristics of gliomas Grades II–IV and to assess the usefulness of imaging features...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Scientific Scholar
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479512/ https://www.ncbi.nlm.nih.gov/pubmed/36128131 http://dx.doi.org/10.25259/SNI_373_2022 |
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author | Merenzon, Martin Andres Gómez Escalante, Jose Ignacio Prost, Diego Seoane, Eduardo Mazzon, Alejandro Bilbao, Érica Rojas |
author_facet | Merenzon, Martin Andres Gómez Escalante, Jose Ignacio Prost, Diego Seoane, Eduardo Mazzon, Alejandro Bilbao, Érica Rojas |
author_sort | Merenzon, Martin Andres |
collection | PubMed |
description | BACKGROUND: It is already known that gliomas biomolecular parameters have a reliable prognostic value. However, an invasive procedure is required to determine them. Our aim was to better understand the clinical characteristics of gliomas Grades II–IV and to assess the usefulness of imaging features in magnetic resonance imaging (MRI) to predict the isocitrate dehydrogenase one (IDH1) mutation. METHODS: Preoperative MRI characteristics were retrospectively reviewed and molecular diagnosis of gliomas was tested in adult patients between 2014 and 2021 in two institutions. We applied a biological criterion to divide the brain in cerebral compartments. RESULTS: A total of 108 patients met the inclusion criteria. Contrast enhancement (CE) in MRI was significantly associated with wild-type IDH1 (IDH1-Wt) (P < 0.00002). Furthermore, the positive predictive value of CE for IDH1-Wt was of 87.1%. On the other hand, the negative predictive value of non-CE for mutated IDH1 (IDH1-Mut) was of 52.6%; 60.2% of gliomas were located in the neocortical and 24.1% in the allocortical/mesocortical telencephalon. Considering gliomas Grades II–III, 66.7% of IDH1-Mut and 28.6% of IDH1-Wt gliomas were located in the neocortex, without statistical significance. CONCLUSION: Our research revealed that CE is useful for predicting IDH1-Wt in gliomas. On the contrary, nonCE is not useful for predicting IDH1-Mut gliomas. Thus, the traditional concept of associating non-CE MRI with a low-grade glioma should be reviewed, as it can lead to an underestimation of the potential aggressiveness of the tumor. If this association was validated with the future prospective studies, a noninvasive tool would be available for predicting gliomas IDH1 mutation status. |
format | Online Article Text |
id | pubmed-9479512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Scientific Scholar |
record_format | MEDLINE/PubMed |
spelling | pubmed-94795122022-09-19 Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II–IV? Merenzon, Martin Andres Gómez Escalante, Jose Ignacio Prost, Diego Seoane, Eduardo Mazzon, Alejandro Bilbao, Érica Rojas Surg Neurol Int Original Article BACKGROUND: It is already known that gliomas biomolecular parameters have a reliable prognostic value. However, an invasive procedure is required to determine them. Our aim was to better understand the clinical characteristics of gliomas Grades II–IV and to assess the usefulness of imaging features in magnetic resonance imaging (MRI) to predict the isocitrate dehydrogenase one (IDH1) mutation. METHODS: Preoperative MRI characteristics were retrospectively reviewed and molecular diagnosis of gliomas was tested in adult patients between 2014 and 2021 in two institutions. We applied a biological criterion to divide the brain in cerebral compartments. RESULTS: A total of 108 patients met the inclusion criteria. Contrast enhancement (CE) in MRI was significantly associated with wild-type IDH1 (IDH1-Wt) (P < 0.00002). Furthermore, the positive predictive value of CE for IDH1-Wt was of 87.1%. On the other hand, the negative predictive value of non-CE for mutated IDH1 (IDH1-Mut) was of 52.6%; 60.2% of gliomas were located in the neocortical and 24.1% in the allocortical/mesocortical telencephalon. Considering gliomas Grades II–III, 66.7% of IDH1-Mut and 28.6% of IDH1-Wt gliomas were located in the neocortex, without statistical significance. CONCLUSION: Our research revealed that CE is useful for predicting IDH1-Wt in gliomas. On the contrary, nonCE is not useful for predicting IDH1-Mut gliomas. Thus, the traditional concept of associating non-CE MRI with a low-grade glioma should be reviewed, as it can lead to an underestimation of the potential aggressiveness of the tumor. If this association was validated with the future prospective studies, a noninvasive tool would be available for predicting gliomas IDH1 mutation status. Scientific Scholar 2022-08-05 /pmc/articles/PMC9479512/ /pubmed/36128131 http://dx.doi.org/10.25259/SNI_373_2022 Text en Copyright: © 2022 Surgical Neurology International https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Merenzon, Martin Andres Gómez Escalante, Jose Ignacio Prost, Diego Seoane, Eduardo Mazzon, Alejandro Bilbao, Érica Rojas Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II–IV? |
title | Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II–IV? |
title_full | Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II–IV? |
title_fullStr | Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II–IV? |
title_full_unstemmed | Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II–IV? |
title_short | Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II–IV? |
title_sort | preoperative imaging features: are they useful tools for predicting idh1 mutation status in gliomas grades ii–iv? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479512/ https://www.ncbi.nlm.nih.gov/pubmed/36128131 http://dx.doi.org/10.25259/SNI_373_2022 |
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