Literature DB >> 28587980

Classification of Meningiomas Based on Their Surgical Removal, World Health Organization Grade, and Cytogenetic Profile: A Treatment Algorithm.

Carlos Eduardo da Silva1, Paulo Eduardo Peixoto de Freitas2.   

Abstract

BACKGROUND: Meningiomas are the most common primary intracranial tumor, but the lack of prospective randomized trials has led to different guidelines for their treatment. We proposed a classification of meningiomas that considers surgical removal, histology, and cytogenetic profile, based on a literature review of these 3 criteria. The classification can be used to guide adjuvant treatment and follow-up.
METHODS: A retrospective literature review was performed of PubMed from 2007 to 2016. Search terms were "meningioma," "surgery," "WHO classification," "cytogenetic," and "algorithm."
RESULTS: Meningiomas were classified into 5 groups (A-E) according to the Simpson resection grade, World Health Organization grade, and cytogenetic profile. Adjuvant therapy, follow-up magnetic resonance imaging, and management of recurrence and/or regrowth were proposed according to the classification.
CONCLUSIONS: The proposed meningioma classification was based on our experience and retrospective evidence collated from the literature and supported by recommendations. The application of the classification criteria yielded an algorithm for treatment and follow-up of patients with meningioma.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cytogenetic; Meningiomas; Simpson grade; WHO grade

Mesh:

Year:  2017        PMID: 28587980     DOI: 10.1016/j.wneu.2017.05.163

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  1 in total

1.  Multispectral Image under Tissue Classification Algorithm in Screening of Cervical Cancer.

Authors:  Pei Wang; Shuwei Wang; Yuan Zhang; Xiaoyan Duan
Journal:  J Healthc Eng       Date:  2022-01-07       Impact factor: 2.682

  1 in total

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