Epidemiological Analysis of 771 Meningiomas

Qianlang REN; Gang BAI; Haonan WANG; Qilin LIU; Qianzheng SU

doi:10.12259/j.issn.2095-610X.S20230216

Volume 44 Issue 2

Feb. 2023

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Qianlang REN, Gang BAI, Haonan WANG, Qilin LIU, Qianzheng SU. Epidemiological Analysis of 771 Meningiomas[J]. Journal of Kunming Medical University, 2023, 44(2): 161-165. doi: 10.12259/j.issn.2095-610X.S20230216

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Qianlang REN, Gang BAI, Haonan WANG, Qilin LIU, Qianzheng SU. Epidemiological Analysis of 771 Meningiomas[J]. Journal of Kunming Medical University, 2023, 44(2): 161-165. doi: 10.12259/j.issn.2095-610X.S20230216

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Epidemiological Analysis of 771 Meningiomas

doi: 10.12259/j.issn.2095-610X.S20230216

1.
The 3ird Affiliated Hospital of Kunming Medical University，Yunnan Provincial Cancer Hospital grade 2020 clinical medicine major Kunming Yunnan 650118
2.
Neurosurgery Department of the Third Affiliated Hospital，Kunming Medical University，Kunming Yunnan 650118，China

Received Date: 2022-12-08
Available Online: 2023-02-01
Publish Date: 2023-02-25

Abstract

Abstract

Objective To explore the pathological classification of meningioma and the composition of patients, and obtain the epidemiological data of single-center meningioma of the Third Affiliated Hospital of Kunming Medical University, so as to provide the basis and reference for future work. Methods The data of meningioma patients from January 2013 to December 2021 of the Third Affiliated Hospital of Kunming Medical University were collected, and the data were analyzed by statistical software. Combined with the results obtained, the epidemiological data and summary report of single-center meningioma in the Third Affiliated Hospital of Kunming Medical University were obtained. Results Of the 771 meningioma patients, 173 were male and 598 were female, with a ratio of 1∶3.46, the median age of male 51, the median age of female 52, the youngest 16, the maximum 82, and the mean age （52.07±10.538）. Patients were concentrated in the age group of 51 to 60 years. Among the 771 patients, the WHO grade I patients were the most frequent, with 722 patients, or about 94%, and the remaining two categories were relatively small. Among the 771 cases, there were 2 cases of meningeal cortaneous type, accounting for 0.26%; 3 cases of fibrous type, accounting for 0.39%; 1 case of gravel body type, accounting for 0.13%; 2 cases of hemangioma, accounting for 0.26%. Among the 771 cases, there were 714 cases at WHO I level, accounting for 92.61%; 35 cases at WHO level II, accounting for 4.54%; 14 cases at WHO III level, accounting for 1.82%, and the more common types were fibrous, meningeal cutaneous, hemangioma, and gravel. The most common site of meningioma was the convex surface of the brain, followed by the base of the skull, parasickle of the brain, cerebellum, and pontocerebellar angle. Conclusion In this study, the peak age of meningioma was 51 to 60 years, the ratio of men to women was 1∶3.46, and the main site of onset was the convex surface of the brain. It provides data for the epidemiology of meningioma in the Third Affiliated Hospital of Kunming Medical University, fills in some gaps of meningioma epidemiological data, and provides the basis and reference for the future work.
- Meningioma,
- Epidemiology,
- Incidence

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References(14)

References

[1]	Ostrom Q T,Cioffi G,GittlemanH,et al. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012-2016[J]. NeuroOncol,2019,21(Suppl5):v1-v100.
[2]	Louis D N,Perry A,ReifenbergerG,et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary[J]. Acta Neuropathol,2016,131(6):803-820. doi: 10.1007/s00401-016-1545-1
[3]	Goldbrunner R,Stavrinou P,Jenkinson M D,et al. EANO guideline on the diagnosis and management of meningiomas[J]. Neuro Oncol.,2021,23(11):1821-1834. doi: 10.1093/neuonc/noab150
[4]	Rydzewski N R,Lesniak M S,Chandler J P,et al. Gross total resection and adjuvant radiotherapy most significant predictors of improved survival in patients with atypical meningioma[J]. Cancer,2018,124(4):734-742. doi: 10.1002/cncr.31088
[5]	David N Louis,Arie Perry,Pieter Wesseling,et al. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary[J]. Neuro Oncol,2021,23(8):1231-1251.
[6]	Fonkem E,Dandashi JA,Stroberg E,et al. A retrospective a- nalysis of meningioma in central texas[J]. J Epidemiol Glob Health,2016,6(2):87-93. doi: 10.1016/j.jegh.2016.01.001
[7]	Baldi I, Engelhardt J, Bonnet C, et al. Epidemiology of meningiomas. [J] Neurochirurgie. 2014 , 20: 421-423.
[8]	陈冰,董芳媛,卢林明,等. 脑膜瘤 544 例临床病理构成分析,[J]. 山西医科大学学报,2019,50(4):489-492.
[9]	Meniai-Merzouki F,Bernier-Chastagner V,Geffrelot J,et al. Hy- pofractionated stereotactic radiotherapy for patients with intracra- nial meningiomas: Impact of radiotherapy regimen on local control[J]. Sci Rep,2018,8(1):13666-13673. doi: 10.1038/s41598-018-32124-8
[10]	Christian Ogasawara,Brandon D Philbrick,D Cory Adamson,et al. Meningioma: A Review of Epidemiology,Pathology,Diagnosis,Treatment,and Future Directions.[J]. Biomedicines.,2021,9(3):319. doi: 10.3390/biomedicines9030319
[11]	Nunes F,Shen Y,Niida Y,Beauchamp R,Stemmer-Rachamimov AO,Ramesh V,Gusella J,MacCollin M. Inactivation patterns of NF2 and DAL-1/4.1B (EPB41L3) in sporadic meningioma[J]. Cancer Genet Cytogenet,2005,162(2):135-139. doi: 10.1016/j.cancergencyto.2005.04.003
[12]	Simon M,Boström J P,Hartmann C. Molecular genetics of meningiomas: from basic research to potential clinical applications[J]. Neurosurgery,2007,60(5):787-798.
[13]	刘幸,陈慧媛,邹婉婧,等. 2021年世界卫生组织中枢神经系统肿瘤分类(第五版)分子诊断指标解读[J]. 中国现代神经疾病杂志,2021,21(9):751-764.
[14]	Lyndon Kim. A narrative review of targeted therapies in meningioma[J]. Chin Clin Oncol,2020,9(6):76. doi: 10.21037/cco-2020-mbt-01

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