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Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters
BACKGROUND: Nonenhancing glioma typically have a favorable outcome, but approximately 19–44% have a highly aggressive course due to a glioblastoma genetic profile. The aim of this retrospective study is to use physiological MRI parameters of both perfusion and diffusion to distinguish the molecular...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923005/ https://www.ncbi.nlm.nih.gov/pubmed/35300151 http://dx.doi.org/10.1093/noajnl/vdac023 |
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author | Pruis, Ilanah J Koene, Stephan R van der Voort, Sebastian R Incekara, Fatih Vincent, Arnaud J P E van den Bent, Martin J Lycklama à Nijeholt, Geert J Nandoe Tewarie, Rishi D S Veldhuijzen van Zanten, Sophie E M Smits, Marion |
author_facet | Pruis, Ilanah J Koene, Stephan R van der Voort, Sebastian R Incekara, Fatih Vincent, Arnaud J P E van den Bent, Martin J Lycklama à Nijeholt, Geert J Nandoe Tewarie, Rishi D S Veldhuijzen van Zanten, Sophie E M Smits, Marion |
author_sort | Pruis, Ilanah J |
collection | PubMed |
description | BACKGROUND: Nonenhancing glioma typically have a favorable outcome, but approximately 19–44% have a highly aggressive course due to a glioblastoma genetic profile. The aim of this retrospective study is to use physiological MRI parameters of both perfusion and diffusion to distinguish the molecular profiles of glioma without enhancement at presentation. METHODS: Ninety-nine patients with nonenhancing glioma were included, in whom molecular status (including 1p/19q codeletion status and IDH mutation) and preoperative MRI (T2w/FLAIR, dynamic susceptibility-weighted, and diffusion-weighted imaging) were available. Tumors were segmented semiautomatically using ITK-SNAP to derive whole tumor histograms of relative Cerebral Blood Volume (rCBV) and Apparent Diffusion Coefficient (ADC). Tumors were divided into three clinically relevant molecular profiles: IDH mutation (IDHmt) with (n = 40) or without (n = 41) 1p/19q codeletion, and (n = 18) IDH-wildtype (IDHwt). ANOVA, Kruskal-Wallis, and Chi-Square analyses were performed using SPSS. RESULTS: rCBV (mean, median, 75(th) and 85(th) percentile) and ADC (mean, median, 15(th) and 25(th) percentile) showed significant differences across molecular profiles (P < .01). Posthoc analyses revealed that IDHwt and IDHmt 1p/19q codeleted tumors showed significantly higher rCBV compared to IDHmt 1p/19q intact tumors: mean rCBV (mean, SD) 1.46 (0.59) and 1.35 (0.39) versus 1.08 (0.31), P < .05. Also, IDHwt tumors showed significantly lower ADC compared to IDHmt 1p/19q codeleted and IDHmt 1p/19q intact tumors: mean ADC (mean, SD) 1.13 (0.23) versus 1.27 (0.15) and 1.45 (0.20), P < .001). CONCLUSIONS: A combination of low ADC and high rCBV, reflecting high cellularity and high perfusion respectively, separates IDHwt from in particular IDHmt 1p/19q intact glioma. |
format | Online Article Text |
id | pubmed-8923005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89230052022-03-16 Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters Pruis, Ilanah J Koene, Stephan R van der Voort, Sebastian R Incekara, Fatih Vincent, Arnaud J P E van den Bent, Martin J Lycklama à Nijeholt, Geert J Nandoe Tewarie, Rishi D S Veldhuijzen van Zanten, Sophie E M Smits, Marion Neurooncol Adv Clinical Investigations BACKGROUND: Nonenhancing glioma typically have a favorable outcome, but approximately 19–44% have a highly aggressive course due to a glioblastoma genetic profile. The aim of this retrospective study is to use physiological MRI parameters of both perfusion and diffusion to distinguish the molecular profiles of glioma without enhancement at presentation. METHODS: Ninety-nine patients with nonenhancing glioma were included, in whom molecular status (including 1p/19q codeletion status and IDH mutation) and preoperative MRI (T2w/FLAIR, dynamic susceptibility-weighted, and diffusion-weighted imaging) were available. Tumors were segmented semiautomatically using ITK-SNAP to derive whole tumor histograms of relative Cerebral Blood Volume (rCBV) and Apparent Diffusion Coefficient (ADC). Tumors were divided into three clinically relevant molecular profiles: IDH mutation (IDHmt) with (n = 40) or without (n = 41) 1p/19q codeletion, and (n = 18) IDH-wildtype (IDHwt). ANOVA, Kruskal-Wallis, and Chi-Square analyses were performed using SPSS. RESULTS: rCBV (mean, median, 75(th) and 85(th) percentile) and ADC (mean, median, 15(th) and 25(th) percentile) showed significant differences across molecular profiles (P < .01). Posthoc analyses revealed that IDHwt and IDHmt 1p/19q codeleted tumors showed significantly higher rCBV compared to IDHmt 1p/19q intact tumors: mean rCBV (mean, SD) 1.46 (0.59) and 1.35 (0.39) versus 1.08 (0.31), P < .05. Also, IDHwt tumors showed significantly lower ADC compared to IDHmt 1p/19q codeleted and IDHmt 1p/19q intact tumors: mean ADC (mean, SD) 1.13 (0.23) versus 1.27 (0.15) and 1.45 (0.20), P < .001). CONCLUSIONS: A combination of low ADC and high rCBV, reflecting high cellularity and high perfusion respectively, separates IDHwt from in particular IDHmt 1p/19q intact glioma. Oxford University Press 2022-02-21 /pmc/articles/PMC8923005/ /pubmed/35300151 http://dx.doi.org/10.1093/noajnl/vdac023 Text en © The Author(s) 2022. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Investigations Pruis, Ilanah J Koene, Stephan R van der Voort, Sebastian R Incekara, Fatih Vincent, Arnaud J P E van den Bent, Martin J Lycklama à Nijeholt, Geert J Nandoe Tewarie, Rishi D S Veldhuijzen van Zanten, Sophie E M Smits, Marion Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters |
title | Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters |
title_full | Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters |
title_fullStr | Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters |
title_full_unstemmed | Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters |
title_short | Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters |
title_sort | noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using mri perfusion and diffusion parameters |
topic | Clinical Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923005/ https://www.ncbi.nlm.nih.gov/pubmed/35300151 http://dx.doi.org/10.1093/noajnl/vdac023 |
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