Literature DB >> 33144180

WHO classification of meningiomas-A single institutional experience.

A A Salami1, A I Okunlola2, M A Ajani3, F Onakpoma4.   

Abstract

INTRODUCTION: Meningiomas are among the most common intracranial neoplasms worldwide. The World Health Organization (WHO) has classified the neoplasm into three grades with each grade having several histological variants. Several studies done in blacks have shown differences with Caucasian populations regarding the occurrence of histological variants. Our study sought to examine the histological variants of meningioma seen in a predominantly black population using the WHO grading system.
METHODS: We conducted a retrospective study of all meningiomas seen in our hospital facility for over twenty years. An analysis of data from all the patients diagnosed with meningioma, who also had surgical biopsies taken, was done. The meningiomas were graded using the WHO grading system and also classified into different histological variants within each grade as described by the WHO study group.
RESULTS: The study included a total number of 163 biopsies. There were more females diagnosed with meningiomas with a female to male ratio of 1.4. Most of the tumors were grade one, however, there were more males with malignant meningiomas. Transitional meningiomas were the most commonly seen variants among the grade one tumors while atypical and anaplastic were most common in grades two and three, respectively.
CONCLUSION: A larger population-based study is needed to provide epidemiological data on the occurrence of meningiomas in blacks.
Copyright © 2020 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Grade; Intracranial; Meningioma; WHO Classification

Mesh:

Year:  2020        PMID: 33144180     DOI: 10.1016/j.neuchi.2020.10.005

Source DB:  PubMed          Journal:  Neurochirurgie        ISSN: 0028-3770            Impact factor:   1.553


  3 in total

1.  Parasagittal cystic meningioma mimicking hemangioblastoma: A case report.

Authors:  Abiodun Idowu Okunlola; Ajayi Adeleke Ibijola; Olakunle Fatai Babalola; Cecilia Kehinde Okunlola; Olagoke Olaseinde Erinomo
Journal:  Surg Neurol Int       Date:  2021-07-27

2.  P53 Suppressor Gene Tissue Microarray-based Protein Expression Analysis in Meningiomas.

Authors:  Dimitrios Roukas; Anastasios Kouzoupis; Despoina Spyropoulou; George Papanastasiou; Evangelos Tsiambas; George Tsouvelas; Evangelos Falidas; Vasileios Ragos; Dimitrios Peschos; Loukas Manaios; Spyros Katsinis; Arezina Manoli; Sotirios Papouliakos; Andreas C Lazaris; Nikolaos Kavantzas
Journal:  In Vivo       Date:  2022 Sep-Oct       Impact factor: 2.406

3.  Caspase 8 Expression Patterns in Meningiomas: A Tissue Microarray Digital Image Analysis.

Authors:  Dimitrios Roukas; Anastasios Kouzoupis; Despoina Spyropoulou; Evangelos Tsiambas; Stylianos Mastronikolis; Evangelos Falidas; George Tsouvelas; Vasileios Ragos; Andreas C Lazaris; Nikolaos Kavantzas
Journal:  Cureus       Date:  2022-06-21
  3 in total

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