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Meningioma grading based on positron emission tomography: A systematic review and meta-analysis

INTRODUCTION: Meningiomas are the most common central nervous system tumor in adults. Knowledge of the tumor grade can guide optimal treatment timing and shape personalized follow-up strategies. Positron emission tomography (PET) has been utilized for the metabolic assessment of various intracranial...

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Autores principales: Filis, Panagiotis, Alexiou, George A., Zigouris, Andreas, Sioka, Chrissa, Filis, Nikolaos, Voulgaris, Spyridon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941365/
https://www.ncbi.nlm.nih.gov/pubmed/36825220
http://dx.doi.org/10.1016/j.wnsx.2023.100167
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author Filis, Panagiotis
Alexiou, George A.
Zigouris, Andreas
Sioka, Chrissa
Filis, Nikolaos
Voulgaris, Spyridon
author_facet Filis, Panagiotis
Alexiou, George A.
Zigouris, Andreas
Sioka, Chrissa
Filis, Nikolaos
Voulgaris, Spyridon
author_sort Filis, Panagiotis
collection PubMed
description INTRODUCTION: Meningiomas are the most common central nervous system tumor in adults. Knowledge of the tumor grade can guide optimal treatment timing and shape personalized follow-up strategies. Positron emission tomography (PET) has been utilized for the metabolic assessment of various intracranial space-occupying lesions. Herewith, we set out to evaluate the diagnostic accuracy of PET for the noninvasive assessment of meningioma's grade. MATERIALS AND METHODS: The Medline, Scopus and Cochrane databases were systematically searched in March 2022 for studies that evaluated the sensitivity and specificity of PET compared to the gold standard of histological diagnosis in the grading of meningiomas. Summary statistics will be calculated and scatter plots, summary curve from the HSROC model and posterior predictions by empirical Bayes estimates will be presented. RESULTS: Five studies consisting of 242 patients with a total of 196 low-grade (Grade 1) and 46 high grade (Grade 2/3) meningiomas were included in our analysis. Three of the included studies used (18)F-FDG, one study used (18)F-FLT and one used(Whiting et al., 2011) 18 F-FET as PET tracers. The pooled sensitivity was 76% (95% CI: 52%–91%) and the pooled specificity was 89% (95% CI: 83%–93%). The diagnostic odds ratio was 27.17 (95% CI: 9.22–80.06), the positive likelihood ratio was 7.18 (95% CI: 4.54–11.34) and the negative likelihood ratio was 0.26 (95% CI: 0.11–0.61). CONCLUSION: PET is a promising and viable option as a noninvasive imaging tool to differentiate the meningioma grades. However, currently it cannot overtake the gold standard of histological grade confirmation. More studies are required for further validation and refinement of this imaging technique and assessment of other radiotracers as well.
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spelling pubmed-99413652023-02-22 Meningioma grading based on positron emission tomography: A systematic review and meta-analysis Filis, Panagiotis Alexiou, George A. Zigouris, Andreas Sioka, Chrissa Filis, Nikolaos Voulgaris, Spyridon World Neurosurg X Original Article INTRODUCTION: Meningiomas are the most common central nervous system tumor in adults. Knowledge of the tumor grade can guide optimal treatment timing and shape personalized follow-up strategies. Positron emission tomography (PET) has been utilized for the metabolic assessment of various intracranial space-occupying lesions. Herewith, we set out to evaluate the diagnostic accuracy of PET for the noninvasive assessment of meningioma's grade. MATERIALS AND METHODS: The Medline, Scopus and Cochrane databases were systematically searched in March 2022 for studies that evaluated the sensitivity and specificity of PET compared to the gold standard of histological diagnosis in the grading of meningiomas. Summary statistics will be calculated and scatter plots, summary curve from the HSROC model and posterior predictions by empirical Bayes estimates will be presented. RESULTS: Five studies consisting of 242 patients with a total of 196 low-grade (Grade 1) and 46 high grade (Grade 2/3) meningiomas were included in our analysis. Three of the included studies used (18)F-FDG, one study used (18)F-FLT and one used(Whiting et al., 2011) 18 F-FET as PET tracers. The pooled sensitivity was 76% (95% CI: 52%–91%) and the pooled specificity was 89% (95% CI: 83%–93%). The diagnostic odds ratio was 27.17 (95% CI: 9.22–80.06), the positive likelihood ratio was 7.18 (95% CI: 4.54–11.34) and the negative likelihood ratio was 0.26 (95% CI: 0.11–0.61). CONCLUSION: PET is a promising and viable option as a noninvasive imaging tool to differentiate the meningioma grades. However, currently it cannot overtake the gold standard of histological grade confirmation. More studies are required for further validation and refinement of this imaging technique and assessment of other radiotracers as well. Elsevier 2023-02-03 /pmc/articles/PMC9941365/ /pubmed/36825220 http://dx.doi.org/10.1016/j.wnsx.2023.100167 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Filis, Panagiotis
Alexiou, George A.
Zigouris, Andreas
Sioka, Chrissa
Filis, Nikolaos
Voulgaris, Spyridon
Meningioma grading based on positron emission tomography: A systematic review and meta-analysis
title Meningioma grading based on positron emission tomography: A systematic review and meta-analysis
title_full Meningioma grading based on positron emission tomography: A systematic review and meta-analysis
title_fullStr Meningioma grading based on positron emission tomography: A systematic review and meta-analysis
title_full_unstemmed Meningioma grading based on positron emission tomography: A systematic review and meta-analysis
title_short Meningioma grading based on positron emission tomography: A systematic review and meta-analysis
title_sort meningioma grading based on positron emission tomography: a systematic review and meta-analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941365/
https://www.ncbi.nlm.nih.gov/pubmed/36825220
http://dx.doi.org/10.1016/j.wnsx.2023.100167
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