Related Experiment Video
Updated: Nov 16, 2025

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis
Published on: May 31, 2020
Meningioma sampling: how much is enough for the accurate grading of atypical meningiomas?
Pierre Dal Col1, Thierry Garaix2, Anna Massard1
1University Hospital of Saint Etienne, North Hospital, Department of Pathology, Saint Etienne, France.
Abstract:
Meningioma grading relies on several pathological criteria (brain invasion, mitotic count, sheeting, small cell foci, necrosis, macronucleoli and hypercellularity) and histopathological subtypes. Regardless of histopathological subtype, the presence of these pathological parameters can be focally present and not present on each slide of a meningioma. We performed (1) a retrospective work comparing the frequency of parameters used for meningioma grading between two periods with different sampling techniques, and (2) we calculated the probability of presence of each criterion on resected meningiomas entirely processed included and examined. First, we compared two time periods: between 2002-2008 where meningiomas were not all entirely sampled, and between 2012-2018 where all meningiomas were entirely sampled. The frequency of tumour grades was not significantly different between the two periods (p=0.17). Mitosis ≥4/1.6mm2, small cell foci, macronucleoli and hypercellularity were more frequently found when meningiomas were entirely sampled (p<0.05). Second, we focused on 59 grade 2 meningiomas entirely sampled to highlight the distribution of histopathological parameters used for meningioma grading. We have shown that a correct grading of more than 95% of meningiomas can be achieved when at least six slides are examined. Our work suggests that meningioma sampling might be an issue and the sampling system must be specified in research works on grading.
Insights
Accurate meningioma grading requires thorough pathological examination. Entirely sampling tumors and examining at least six slides increases the detection of key grading criteria, improving diagnostic reliability.
Area of Science:
- Neuropathology
- Surgical Pathology
- Oncology
Background:
- Meningioma grading is crucial for patient management and prognosis.
- Current grading relies on specific pathological criteria and histopathological subtypes.
- These criteria can be focally present, posing challenges for accurate diagnosis.
Purpose of the Study:
- To compare meningioma grading parameters between periods with different tumor sampling techniques.
- To determine the probability of detecting grading criteria in entirely processed meningiomas.
- To establish optimal slide examination protocols for accurate meningioma grading.
Main Methods:
- Retrospective analysis of meningioma cases from two distinct time periods (2002-2008 and 2012-2018) with differing sampling protocols.
- Comparison of the frequency of grading parameters (mitotic count, small cell foci, etc.) between the two periods.
- Detailed examination of 59 entirely sampled grade 2 meningiomas to assess parameter distribution across slides.
Main Results:
- No significant difference in overall tumor grade frequency between the two sampling periods (p=0.17).
- Entire tumor sampling significantly increased the detection of mitosis (≥4/1.6mm²), small cell foci, macronucleoli, and hypercellularity (p<0.05).
- Examining at least six slides from entirely sampled meningiomas allows for correct grading in over 95% of cases.
Conclusions:
- Meningioma tumor sampling methodology significantly impacts the detection of key grading parameters.
- Standardizing and specifying sampling techniques in research is essential for reproducible meningioma grading.
- A minimum of six slides should be examined for accurate grading of entirely sampled meningiomas.
More Related Videos
08:57Author Spotlight: Genetically Engineered Mouse Models and Pathological Characterization of Neurofibromatosis Type 1 Associated Tumors
Published on: May 17, 2024
05:49Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
Published on: October 10, 2019