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Study of Glioblastomas According to Clinicopathological Parameters Cover

Study of Glioblastomas According to Clinicopathological Parameters

Open Access
|Feb 2022

Abstract

Background: Glioblastomas are the most common tumors of the central nervous system. The incidence of brain tumors is higher in developed countries and is constantly increasing.

Aim of the study: The purpose of this study was to analyze the clinicopathological data of patients diagnosed with glioblastomas from a selected case series.

Material and methods: This retrospective, single-center study was conducted on glioblastoma cases diagnosed between 2014 and 2018 at the Department of Pathology of the County Emergency Clinical Hospital of Târgu Mureș, Romania. The information was centralized from histopathology reports and focused on the location of glioblastomas and demographic parameters (gender and age of patients).

Results: In the studied period, there were 154 patients diagnosed with glioblastoma, of which 50.65% were men. The most affected age group was 61–70 years (31.17% of cases). In most cases (49.35%), the glioblastoma was located in the left cerebral hemisphere, and the most affected lobes were the frontal (29.87%), temporal (26.62%), and parietal (14.94%). We could not find a statistically significant association between the distribution of cases by years, gender, and location of the tumor.

Conclusions: Glioblastoma is a tumor that involves the left cerebral hemisphere most often and affects both genders over the age of sixty.

DOI: https://doi.org/10.2478/jim-2021-0038 | Journal eISSN: 2501-8132 | Journal ISSN: 2501-5974
Language: English
Page range: 177 - 181
Submitted on: Mar 24, 2021
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Accepted on: Dec 25, 2021
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Published on: Feb 18, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Tamás Csaba Sipos, Attila Kövecsi, Simona Gurzu, Lóránd Dénes, Annamária Szántó, Gergő Ráduly, Zsuzsanna Pap, published by Asociatia Transilvana de Terapie Transvasculara si Transplant KARDIOMED
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.