Association of imaging classification and histopathological grading in primary intraosseous meningioma of the skull.

Autor: Wang C; Department of Medical Imaging Center, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China., Liao H; Department of Medical Imaging Center, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China., Luo W; Department of Pathology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China., Wei S; Department of Radiology, Pingguo People's Hospital, Baise, Guangxi, China., Wei W; Department of Medical Imaging Center, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China., Zhao Y; Department of Medical Imaging Center, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China., Ma J; Department of Medical Imaging Center, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China., Su D; Department of Medical Imaging Center, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China. Electronic address: sudanke33@sina.com.
Jazyk: angličtina
Zdroj: Clinical neurology and neurosurgery [Clin Neurol Neurosurg] 2024 Aug; Vol. 243, pp. 108239. Date of Electronic Publication: 2024 Mar 11.
DOI: 10.1016/j.clineuro.2024.108239
Abstrakt: Background: Primary intraosseous meningioma of the skull (PIMS) is a rare type of primary extradural meningioma (PEM) involving cranial bone. The existing literature strongly suggest the importance of radiological feacures in pathological diagnosis of PIMS. Thereby, the aim of this study is to investigate the association between imaging classification and histopathological grading in PIMS.
Methods: In this retrospective study, we retrospectively analyzed the computed tomography scan/magnetic resonance imaging and pathological data pertaining to patients with pathologically proven PIMS. The association between radiological features, imaging classification, and histopathological grading was analyzed using logistic regression analysis.
Results: In this study, data of 25 patients with PIMS were assessed. The univariate logistic regression analysis results showed significant correlation between histopathological grading and imaging classification (OR: 22.5; 95% CI: 2.552-198.378; p = 0.005), intra- and extracalvarial extension (OR: 7.2; 95% CI: 1.066-48.639; p = 0.043), and tumor margin (OR: 7.19; 95% CI: 1.06-47.61; p = 0.043). According to the results of multivariate logistic regression analysis, imaging classification was the strongest independent risk factor for high-grade PIMS, and the risk of aggressiveness of osteoblastic type of PIMS was 16.664 times higher than that of osteolytic type of PIMS (OR: 16.664; 95% CI: 1.15-241.508; p = 0.039).
Conclusions: Imaging classification is an independent risk factor for high-grade PIMS.
Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests.
(Copyright © 2024. Published by Elsevier B.V.)
Databáze: MEDLINE
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