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Volumetric growth rates of meningioma and its correlation with histological diagnosis and clinical outcome: a systematic review

INTRODUCTION: Tumour growth has been used to successfully predict progression-free survival in low-grade glioma. This systematic review sought to establish the evidence base regarding the correlation of volumetric growth rates with histological diagnosis and potential to predict clinical outcome in...

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Detalles Bibliográficos
Autores principales: Fountain, Daniel M., Soon, Wai Cheong, Matys, Tomasz, Guilfoyle, Mathew R., Kirollos, Ramez, Santarius, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5306174/
https://www.ncbi.nlm.nih.gov/pubmed/28101641
http://dx.doi.org/10.1007/s00701-016-3071-2
Descripción
Sumario:INTRODUCTION: Tumour growth has been used to successfully predict progression-free survival in low-grade glioma. This systematic review sought to establish the evidence base regarding the correlation of volumetric growth rates with histological diagnosis and potential to predict clinical outcome in patients with meningioma. METHODS: This systematic review was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Databases were searched for full text English articles analysing volumetric growth rates in patients with a meningioma. RESULTS: Four retrospective cohort studies were accepted, demonstrating limited evidence of significantly different tumour doubling rates and shapes of growth curves between benign and atypical meningiomas. Heterogeneity of patient characteristics and timing of volumetric assessment, both pre- and post-operatively, limited pooled analysis of the data. No studies performed statistical analysis to demonstrate the clinical utility of growth rates in predicting clinical outcome. CONCLUSION: This systematic review provides limited evidence in support of the use of volumetric growth rates in meningioma to predict histological diagnosis and clinical outcome to guide future monitoring and treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00701-016-3071-2) contains supplementary material, which is available to authorized users.