Ono Hiroya, Kumagai Gentarou, Wada Kanichiro, Ono Atsushi, Asari Toru, Aoki Masahiro, Ishibashi Yasuyuki
Department of Orthopedic Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, JPN.
Department of Orthopedics, Hirosaki Memorial Hospital, Hirosaki, JPN.
Cureus. 2021 Oct 19;13(10):e18890. doi: 10.7759/cureus.18890. eCollection 2021 Oct.
Objective The advantage of 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET) for the differential diagnosis of schwannoma and meningioma remains unclear. The purpose of this study was to compare the maximum standardized uptake value (SUVmax) with computed tomography (CT) and magnetic resonance imaging (MRI) findings and assess its utility in the differential diagnosis of schwannomas and meningiomas. Methods This study included 42 patients who underwent surgery and had pathological diagnoses of schwannomas (S group) or meningiomas (M group). Multivariate logistic regression analyses were conducted using meningioma prevalence as the dependent variable, and confounders were selected from those with p-values <0.05, including calcification, dural tail sign, tumor volume, and SUVmax at each spinal level as independent variables. Results The SUVmax of the spinal canal type at the level of the cervical vertebrae was significantly higher in the M group (4.6 ± 0.8) than in the S group (2.7 ± 1.4; P = 0.017). Multivariate logistic regression analysis showed that the dural tail sign was significantly associated with differential diagnosis between the S and M groups (odds ratio [OR], 0.851; 95% confidence interval [CI], 0.704-1.031, p<0.001). Conclusions The dural tail sign on MRI, but not the SUVmax of FDG-PET, was the most useful for the differential diagnosis between schwannomas and meningiomas.
目的 18F-氟脱氧葡萄糖正电子发射断层扫描(FDG-PET)在鉴别诊断神经鞘瘤和脑膜瘤方面的优势尚不清楚。本研究的目的是比较最大标准化摄取值(SUVmax)与计算机断层扫描(CT)及磁共振成像(MRI)结果,并评估其在神经鞘瘤和脑膜瘤鉴别诊断中的效用。方法 本研究纳入42例接受手术且病理诊断为神经鞘瘤(S组)或脑膜瘤(M组)的患者。以脑膜瘤患病率为因变量进行多因素逻辑回归分析,从p值<0.05的因素中选择混杂因素,包括钙化、硬脑膜尾征、肿瘤体积以及每个脊柱节段的SUVmax作为自变量。结果 M组颈椎水平椎管型的SUVmax(4.6±0.8)显著高于S组(2.7±1.4;P = 0.017)。多因素逻辑回归分析显示,硬脑膜尾征与S组和M组的鉴别诊断显著相关(比值比[OR],0.851;95%置信区间[CI],0.704 - 1.031,p<0.001)。结论 MRI上的硬脑膜尾征而非FDG-PET的SUVmax对神经鞘瘤和脑膜瘤的鉴别诊断最有用。