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Accuracy of the neurosurgeons estimation of extent of resection in glioblastoma
BACKGROUND: The surgeons’ estimate of the extent of resection (EOR) shows little accuracy in previous literature. Considering the developments in surgical techniques of glioblastoma (GBM) treatment, we hypothesize an improvement in this estimation. This study aims to compare the EOR estimated by the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982640/ https://www.ncbi.nlm.nih.gov/pubmed/31656985 http://dx.doi.org/10.1007/s00701-019-04089-8 |
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author | Sezer, Sümeyye van Amerongen, Martin J. Delye, Hans H. K. ter Laan, Mark |
author_facet | Sezer, Sümeyye van Amerongen, Martin J. Delye, Hans H. K. ter Laan, Mark |
author_sort | Sezer, Sümeyye |
collection | PubMed |
description | BACKGROUND: The surgeons’ estimate of the extent of resection (EOR) shows little accuracy in previous literature. Considering the developments in surgical techniques of glioblastoma (GBM) treatment, we hypothesize an improvement in this estimation. This study aims to compare the EOR estimated by the neurosurgeon with the EOR determined using volumetric analysis on the post-operative MR scan. METHODS: Pre- and post-operative tumor volumes were calculated through semi-automatic volumetric assessment by three observers. Interobserver agreement was measured using intraclass correlation coefficient (ICC). A univariate general linear model was used to study the factors influencing the accuracy of estimation of resection percentage. RESULTS: ICC was high for all three measurements: pre-operative tumor volume was 0.980 (0.969–0.987), post-operative tumor volume 0.974 (0.961–0.984), and EOR 0.947 (0.917–0.967). Estimation of EOR by the surgeon showed moderate accuracy and agreement. Multivariable analysis showed a statistically significant effect of operating neurosurgeon (p = 0.01), use of fluorescence (p < 0.001), and resection percentage (p < 0.001) on the accuracy of the EOR estimation. CONCLUSION: All measurements through semi-automatic volumetric analysis show a high interobserver agreement, suggesting this to be a reliable assessment of EOR. We found a moderate reliability of the surgeons’ estimate of EOR. Therefore, (early) post-operative MRI scanning for evaluation of EOR remains paramount. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00701-019-04089-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6982640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-69826402020-02-06 Accuracy of the neurosurgeons estimation of extent of resection in glioblastoma Sezer, Sümeyye van Amerongen, Martin J. Delye, Hans H. K. ter Laan, Mark Acta Neurochir (Wien) Original Article - Tumor - Glioma BACKGROUND: The surgeons’ estimate of the extent of resection (EOR) shows little accuracy in previous literature. Considering the developments in surgical techniques of glioblastoma (GBM) treatment, we hypothesize an improvement in this estimation. This study aims to compare the EOR estimated by the neurosurgeon with the EOR determined using volumetric analysis on the post-operative MR scan. METHODS: Pre- and post-operative tumor volumes were calculated through semi-automatic volumetric assessment by three observers. Interobserver agreement was measured using intraclass correlation coefficient (ICC). A univariate general linear model was used to study the factors influencing the accuracy of estimation of resection percentage. RESULTS: ICC was high for all three measurements: pre-operative tumor volume was 0.980 (0.969–0.987), post-operative tumor volume 0.974 (0.961–0.984), and EOR 0.947 (0.917–0.967). Estimation of EOR by the surgeon showed moderate accuracy and agreement. Multivariable analysis showed a statistically significant effect of operating neurosurgeon (p = 0.01), use of fluorescence (p < 0.001), and resection percentage (p < 0.001) on the accuracy of the EOR estimation. CONCLUSION: All measurements through semi-automatic volumetric analysis show a high interobserver agreement, suggesting this to be a reliable assessment of EOR. We found a moderate reliability of the surgeons’ estimate of EOR. Therefore, (early) post-operative MRI scanning for evaluation of EOR remains paramount. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00701-019-04089-8) contains supplementary material, which is available to authorized users. Springer Vienna 2019-10-28 2020 /pmc/articles/PMC6982640/ /pubmed/31656985 http://dx.doi.org/10.1007/s00701-019-04089-8 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article - Tumor - Glioma Sezer, Sümeyye van Amerongen, Martin J. Delye, Hans H. K. ter Laan, Mark Accuracy of the neurosurgeons estimation of extent of resection in glioblastoma |
title | Accuracy of the neurosurgeons estimation of extent of resection in glioblastoma |
title_full | Accuracy of the neurosurgeons estimation of extent of resection in glioblastoma |
title_fullStr | Accuracy of the neurosurgeons estimation of extent of resection in glioblastoma |
title_full_unstemmed | Accuracy of the neurosurgeons estimation of extent of resection in glioblastoma |
title_short | Accuracy of the neurosurgeons estimation of extent of resection in glioblastoma |
title_sort | accuracy of the neurosurgeons estimation of extent of resection in glioblastoma |
topic | Original Article - Tumor - Glioma |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982640/ https://www.ncbi.nlm.nih.gov/pubmed/31656985 http://dx.doi.org/10.1007/s00701-019-04089-8 |
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