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Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures
Purpose: Seizures related to tumor growth are common in glioma patients, especially in low-grade glioma patients this is often the first tumor manifestation. We hypothesize that there are associations between preoperative seizures and morphologic features (e.g., tumor size, location) and histogram f...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226080/ https://www.ncbi.nlm.nih.gov/pubmed/32316566 http://dx.doi.org/10.3390/cancers12040994 |
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author | Bette, Stefanie Barz, Melanie Ly Nham, Huong Huber, Thomas Berndt, Maria Sales, Arthur Schmidt-Graf, Friederike Meyer, Hanno S. Ryang, Yu-Mi Meyer, Bernhard Zimmer, Claus Kirschke, Jan S. Wiestler, Benedikt Gempt, Jens |
author_facet | Bette, Stefanie Barz, Melanie Ly Nham, Huong Huber, Thomas Berndt, Maria Sales, Arthur Schmidt-Graf, Friederike Meyer, Hanno S. Ryang, Yu-Mi Meyer, Bernhard Zimmer, Claus Kirschke, Jan S. Wiestler, Benedikt Gempt, Jens |
author_sort | Bette, Stefanie |
collection | PubMed |
description | Purpose: Seizures related to tumor growth are common in glioma patients, especially in low-grade glioma patients this is often the first tumor manifestation. We hypothesize that there are associations between preoperative seizures and morphologic features (e.g., tumor size, location) and histogram features in patients with glioblastoma (GB). Methods: Retrospectively, 160 consecutive patients with initial diagnosis and surgery of GB (WHO IV) and preoperative MRI were analyzed. Preoperative MRI sequences were co-registered (T2-FLAIR, T1-contrast, DTI) and tumors were segmented by a neuroradiologist using the software ITK-snap blinded to the clinical data. Tumor volume (FLAIR, T1-contrast) and histogram analyses of ADC- and FA-maps were recorded in the contrast enhancing tumor part (CET) and the non-enhancing peritumoral edema (FLAIR). Location was determined after co-registration of the data with an atlas. Permutation-based multiple-testing adjusted t statistics were calculated to compare imaging variables between patients with and without seizures. Results: Patients with seizures showed significantly smaller tumors (CET, adj. p = 0.029) than patients without preoperative seizures. Less seizures were observed in patients with tumor location in the right cingulate gyrus (adj. p = 0.048) and in the right caudate nucleus (adj. p = 0.009). Significant differences of histogram analyses of FA in the contrast enhancing tumor part were observed between patients with and without seizures considering also tumor location and size. Conclusion: Preoperative seizures in GB patients are associated with lower preoperative tumor volume. The different histogram analyses suggest that there might be microstructural differences in the contrast enhancing tumor part of patients with seizures measured by fractional anisotropy. Higher variance of GB presenting without seizures might indicate a more aggressive growth of these tumors. |
format | Online Article Text |
id | pubmed-7226080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72260802020-05-18 Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures Bette, Stefanie Barz, Melanie Ly Nham, Huong Huber, Thomas Berndt, Maria Sales, Arthur Schmidt-Graf, Friederike Meyer, Hanno S. Ryang, Yu-Mi Meyer, Bernhard Zimmer, Claus Kirschke, Jan S. Wiestler, Benedikt Gempt, Jens Cancers (Basel) Article Purpose: Seizures related to tumor growth are common in glioma patients, especially in low-grade glioma patients this is often the first tumor manifestation. We hypothesize that there are associations between preoperative seizures and morphologic features (e.g., tumor size, location) and histogram features in patients with glioblastoma (GB). Methods: Retrospectively, 160 consecutive patients with initial diagnosis and surgery of GB (WHO IV) and preoperative MRI were analyzed. Preoperative MRI sequences were co-registered (T2-FLAIR, T1-contrast, DTI) and tumors were segmented by a neuroradiologist using the software ITK-snap blinded to the clinical data. Tumor volume (FLAIR, T1-contrast) and histogram analyses of ADC- and FA-maps were recorded in the contrast enhancing tumor part (CET) and the non-enhancing peritumoral edema (FLAIR). Location was determined after co-registration of the data with an atlas. Permutation-based multiple-testing adjusted t statistics were calculated to compare imaging variables between patients with and without seizures. Results: Patients with seizures showed significantly smaller tumors (CET, adj. p = 0.029) than patients without preoperative seizures. Less seizures were observed in patients with tumor location in the right cingulate gyrus (adj. p = 0.048) and in the right caudate nucleus (adj. p = 0.009). Significant differences of histogram analyses of FA in the contrast enhancing tumor part were observed between patients with and without seizures considering also tumor location and size. Conclusion: Preoperative seizures in GB patients are associated with lower preoperative tumor volume. The different histogram analyses suggest that there might be microstructural differences in the contrast enhancing tumor part of patients with seizures measured by fractional anisotropy. Higher variance of GB presenting without seizures might indicate a more aggressive growth of these tumors. MDPI 2020-04-17 /pmc/articles/PMC7226080/ /pubmed/32316566 http://dx.doi.org/10.3390/cancers12040994 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bette, Stefanie Barz, Melanie Ly Nham, Huong Huber, Thomas Berndt, Maria Sales, Arthur Schmidt-Graf, Friederike Meyer, Hanno S. Ryang, Yu-Mi Meyer, Bernhard Zimmer, Claus Kirschke, Jan S. Wiestler, Benedikt Gempt, Jens Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures |
title | Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures |
title_full | Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures |
title_fullStr | Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures |
title_full_unstemmed | Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures |
title_short | Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures |
title_sort | image analysis reveals microstructural and volumetric differences in glioblastoma patients with and without preoperative seizures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226080/ https://www.ncbi.nlm.nih.gov/pubmed/32316566 http://dx.doi.org/10.3390/cancers12040994 |
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