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Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors
BACKGROUND: Prevalence, radiological characteristics, and risk factors for peritumoral infarctions after glioma surgery are not much studied. In this study, we assessed shape, volume, and prevalence of peritumoral infarctions and investigated possible associated factors. METHODS: In a prospective si...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520515/ https://www.ncbi.nlm.nih.gov/pubmed/34468884 http://dx.doi.org/10.1007/s00701-021-04914-z |
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author | Strand, Per S. Berntsen, Erik M. Fyllingen, Even H. Sagberg, Lisa M. Reinertsen, Ingerid Gulati, Sasha Bouget, David Solheim, Ole |
author_facet | Strand, Per S. Berntsen, Erik M. Fyllingen, Even H. Sagberg, Lisa M. Reinertsen, Ingerid Gulati, Sasha Bouget, David Solheim, Ole |
author_sort | Strand, Per S. |
collection | PubMed |
description | BACKGROUND: Prevalence, radiological characteristics, and risk factors for peritumoral infarctions after glioma surgery are not much studied. In this study, we assessed shape, volume, and prevalence of peritumoral infarctions and investigated possible associated factors. METHODS: In a prospective single-center cohort study, we included all adult patients operated for diffuse gliomas from January 2007 to December 2018. Postoperative infarctions were segmented using early postoperative MRI images, and volume, shape, and location of postoperative infarctions were assessed. Heatmaps of the distribution of tumors and infarctions were created. RESULTS: MRIs from 238 (44%) of 539 operations showed restricted diffusion in relation to the operation cavity, interpreted as postoperative infarctions. Of these, 86 (36%) were rim-shaped, 103 (43%) were sector-shaped, 40 (17%) were a combination of rim- and sector-shaped, and six (3%) were remote infarctions. Median infarction volume was 1.7 cm(3) (IQR 0.7–4.3, range 0.1–67.1). Infarctions were more common if the tumor was in the temporal lobe, and the map shows more infarctions in the periventricular watershed areas. Sector-shaped infarctions were more often seen in patients with known cerebrovascular disease (47.6% vs. 25.5%, p = 0.024). There was a positive correlation between infarction volume and tumor volume (r = 0.267, p < 0.001) and infarction volume and perioperative bleeding (r = 0.176, p = 0.014). Moreover, there was a significant positive association between age and larger infarction volumes (r = 0.193, p = 0.003). Infarction rates and infarction volumes varied across individual surgeons, p = 0.037 (range 32–72%) and p = 0.026. CONCLUSIONS: In the present study, peritumoral infarctions occurred in 44% after diffuse glioma operations. Infarctions were more common in patients operated for tumors in the temporal lobe but were not more common following recurrent surgeries. Sector-shaped infarctions were more common in patients with known cerebrovascular disease. Increasing age, larger tumors, and more perioperative bleeding were factors associated with infarction volumes. The risk of infarctions and infarction volumes may also be surgeon-dependent. |
format | Online Article Text |
id | pubmed-8520515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-85205152021-10-29 Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors Strand, Per S. Berntsen, Erik M. Fyllingen, Even H. Sagberg, Lisa M. Reinertsen, Ingerid Gulati, Sasha Bouget, David Solheim, Ole Acta Neurochir (Wien) Original Article - : Brain Tumors BACKGROUND: Prevalence, radiological characteristics, and risk factors for peritumoral infarctions after glioma surgery are not much studied. In this study, we assessed shape, volume, and prevalence of peritumoral infarctions and investigated possible associated factors. METHODS: In a prospective single-center cohort study, we included all adult patients operated for diffuse gliomas from January 2007 to December 2018. Postoperative infarctions were segmented using early postoperative MRI images, and volume, shape, and location of postoperative infarctions were assessed. Heatmaps of the distribution of tumors and infarctions were created. RESULTS: MRIs from 238 (44%) of 539 operations showed restricted diffusion in relation to the operation cavity, interpreted as postoperative infarctions. Of these, 86 (36%) were rim-shaped, 103 (43%) were sector-shaped, 40 (17%) were a combination of rim- and sector-shaped, and six (3%) were remote infarctions. Median infarction volume was 1.7 cm(3) (IQR 0.7–4.3, range 0.1–67.1). Infarctions were more common if the tumor was in the temporal lobe, and the map shows more infarctions in the periventricular watershed areas. Sector-shaped infarctions were more often seen in patients with known cerebrovascular disease (47.6% vs. 25.5%, p = 0.024). There was a positive correlation between infarction volume and tumor volume (r = 0.267, p < 0.001) and infarction volume and perioperative bleeding (r = 0.176, p = 0.014). Moreover, there was a significant positive association between age and larger infarction volumes (r = 0.193, p = 0.003). Infarction rates and infarction volumes varied across individual surgeons, p = 0.037 (range 32–72%) and p = 0.026. CONCLUSIONS: In the present study, peritumoral infarctions occurred in 44% after diffuse glioma operations. Infarctions were more common in patients operated for tumors in the temporal lobe but were not more common following recurrent surgeries. Sector-shaped infarctions were more common in patients with known cerebrovascular disease. Increasing age, larger tumors, and more perioperative bleeding were factors associated with infarction volumes. The risk of infarctions and infarction volumes may also be surgeon-dependent. Springer Vienna 2021-09-01 2021 /pmc/articles/PMC8520515/ /pubmed/34468884 http://dx.doi.org/10.1007/s00701-021-04914-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article - : Brain Tumors Strand, Per S. Berntsen, Erik M. Fyllingen, Even H. Sagberg, Lisa M. Reinertsen, Ingerid Gulati, Sasha Bouget, David Solheim, Ole Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors |
title | Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors |
title_full | Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors |
title_fullStr | Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors |
title_full_unstemmed | Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors |
title_short | Brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors |
title_sort | brain infarctions after glioma surgery: prevalence, radiological characteristics and risk factors |
topic | Original Article - : Brain Tumors |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520515/ https://www.ncbi.nlm.nih.gov/pubmed/34468884 http://dx.doi.org/10.1007/s00701-021-04914-z |
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