Abstract：
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.
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.
摘要：
背景：颅骨原发性骨内脑膜瘤（PIMS）是一种罕见类型的原发性硬膜外脑膜瘤（PEM），涉及颅骨。现有文献强烈表明放射学特征在PIMS病理诊断中的重要性。因此，本研究的目的是探讨PIMS中影像学分类与组织病理学分级之间的相关性.
方法：在这项回顾性研究中，我们回顾性分析了经病理证实的PIMS患者的计算机断层扫描/磁共振成像和病理数据.放射学特征之间的关联，影像分类,组织病理学分级采用logistic回归分析。
结果：在这项研究中，对25例PIMS患者的数据进行了评估.单因素logistic回归分析结果显示组织病理学分级与影像学分型之间存在显著相关性(OR:22.5;95%CI:2.552-198.378;p=0.005),内和外延伸（OR：7.2;95％CI：1.066-48.639;p=0.043），和肿瘤边缘（OR：7.19;95％CI：1.06-47.61;p=0.043）。根据多因素logistic回归分析结果,影像学分类是高级别PIMS最强的独立危险因素，成骨细胞型PIMS的侵袭性风险是溶骨型PIMS的16.664倍（OR：16.664；95％CI：1.15-241.508；p=0.039）。
结论：影像分类是高级别PIMS的独立危险因素。
方法：在这项回顾性研究中，我们回顾性分析了经病理证实的PIMS患者的计算机断层扫描/磁共振成像和病理数据.放射学特征之间的关联，影像分类,组织病理学分级采用logistic回归分析。
结果：在这项研究中，对25例PIMS患者的数据进行了评估.单因素logistic回归分析结果显示组织病理学分级与影像学分型之间存在显著相关性(OR:22.5;95%CI:2.552-198.378;p=0.005),内和外延伸（OR：7.2;95％CI：1.066-48.639;p=0.043），和肿瘤边缘（OR：7.19;95％CI：1.06-47.61;p=0.043）。根据多因素logistic回归分析结果,影像学分类是高级别PIMS最强的独立危险因素，成骨细胞型PIMS的侵袭性风险是溶骨型PIMS的16.664倍（OR：16.664；95％CI：1.15-241.508；p=0.039）。
结论：影像分类是高级别PIMS的独立危险因素。
