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

World Neurosurg. 2017 Sep:105:289-293. doi: 10.1016/j.wneu.2017.05.163. Epub 2017 Jun 3.

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.

Keywords: Cytogenetic; Meningiomas; Simpson grade; WHO grade.

MeSH terms

  • Algorithms*
  • Female
  • Humans
  • Male
  • Meningeal Neoplasms* / classification
  • Meningeal Neoplasms* / genetics
  • Meningeal Neoplasms* / pathology
  • Meningioma* / classification
  • Meningioma* / genetics
  • Meningioma* / pathology
  • Meningioma* / surgery
  • Neurosurgical Procedures / methods*
  • PubMed / statistics & numerical data
  • Retrospective Studies
  • World Health Organization