Winter Fabian, Furtner Julia, Dunst Astrid, Kasprian Gregor, Weber Michael, Woehrer Adelheid, Roessler Karl, Dorfer Christian
Department of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
Neurooncol Pract. 2025 Jan 10;12(3):458-466. doi: 10.1093/nop/npaf004. eCollection 2025 Jun.
This study aimed to identify magnetic resonance imaging (MRI) markers predictive of essential surgical characteristics in meningiomas, including consistency, ease of dissection of meningioma from surrounding brain tissue, and vascularity, which are crucial for surgical decisions and outcomes.
We conducted preoperative MRI using a standardized protocol to measure signal intensities (SI) within meningiomas. Additionally, we administered intraoperative questionnaires and performed histological analyses on each tumor.
A total of 100 consecutive patients (mean age, 58 years ± 13, 69 female) were enrolled in this prospective clinical trial. Meningioma volumes varied (0.4-185.6 cm) with surgeries lasting on average 176 min (range 35-610 min). SI measurements on T1-weighted, time-of-flight (TOF), and T2-weighted imaging were significantly associated with tumor consistency and vascularity. Specifically, the sensitivity and specificity for predicting consistency grades above 3 (on a 1-5 grade scale) were 75% and 55% postcontrast on T1-weighted imaging (SI ≥ 711) and 73% and 70% on TOF imaging (SI ≥ 124.5). For vascularity grades above 5 (on a 1-10 grade scale), the values were 73% sensitivity and 54% specificity on TOF imaging (SI ≥ 123). No correlation was found between the surgical cleavage plane and MRI data; however, dissection plane type significantly influenced surgery duration and hospitalization length. A lower SI on T2-weighted imaging correlated with specific histological features.
Key surgical aspects of meningiomas can be predicted using conventional MRI sequences. This may improve patient counseling and surgical planning.
本研究旨在确定可预测脑膜瘤基本手术特征的磁共振成像(MRI)标志物,这些特征包括质地、脑膜瘤与周围脑组织的分离难易程度以及血管分布情况,它们对手术决策和手术结果至关重要。
我们采用标准化方案进行术前MRI检查,以测量脑膜瘤内的信号强度(SI)。此外,我们还发放了术中问卷,并对每个肿瘤进行了组织学分析。
共有100例连续患者(平均年龄58岁±13岁,女性69例)纳入了这项前瞻性临床试验。脑膜瘤体积各不相同(0.4 - 185.6 cm),手术平均持续176分钟(范围35 - 610分钟)。T1加权成像、时间飞跃(TOF)成像和T2加权成像上的SI测量值与肿瘤质地和血管分布显著相关。具体而言,在T1加权成像(SI≥711)上,预测质地等级高于3级(1 - 5级评分)的敏感性和特异性分别为75%和55%,在TOF成像(SI≥124.5)上分别为73%和70%。对于血管分布等级高于5级(1 - 10级评分),在TOF成像(SI≥123)上的敏感性和特异性分别为73%和54%。未发现手术分离平面与MRI数据之间存在相关性;然而,分离平面类型显著影响手术持续时间和住院时间。T2加权成像上较低的SI与特定的组织学特征相关。
使用传统MRI序列可以预测脑膜瘤的关键手术特征。这可能会改善患者咨询和手术规划。