Cui Jin, Li Xuanxuan, Xia Ding, Gu Xiaoyu, Zhao Yajing, Mei Nan, Wang Dongdong, Luan Shihai, Wu Puye, Lu Yiping, Yin Bo
Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
Quant Imaging Med Surg. 2024 Dec 5;14(12):8183-8195. doi: 10.21037/qims-24-278. Epub 2024 Oct 21.
Early recognition of sinus invasion for meningiomas matters the clinical intervention. Therefore, we retrospectively investigated the relationship between peritumoral vessel features on magnetic resonance venography (MRV) and sinus invasion status.
Images of phase contrast MRV (PC-MRV, n=46) and contrast-enhanced MRV (CE-MRV, n=39) were independently assessed by four experienced neuroradiologists, including the adjacent sinus status, the peritumoral vessel count and diameter-associated parameters. The sinus invasion status confirmed based on Sindou's criteria during surgery was taken as the gold standard. The relationship between these MRV-based vessel characteristics and sinus invasion status was further analyzed.
The judgment of sinus invasion based on PC-MRV (n=46) and CE-MRV (n=39) revealed a total accuracy of 63% and 74.4%, respectively. The MRV-based vessel count and associated diameter parameters demonstrated statistical differences between the non-invasion and the invasion group (P<0.05). Under the cutoff value of 3 vessels on PC-MRV and 5.5 vessels on CE-MRV, the prediction of sinus invasion status finally achieved the accuracy of 69.6% and 84.6%, respectively. Furthermore, the vessel count, the sum vascular diameter and the max vascular diameter remained significantly different in further subgroup analyses. A comprehensive generalized linear models (GLM) model based on MRV-related vascular features showed the best diagnostic performance on sinus invasion, with the area under the receiver operating characteristic curve of 0.859 for PC-MRV and 0.913 for CE-MRV.
For para-sinus meningioma, peritumoral vessel characteristics on MRV, especially the vessel count, exhibited close relationships with sinus status, and thus could be a novel tool to predict sinus invasion.
早期识别脑膜瘤的窦侵犯情况对临床干预至关重要。因此,我们回顾性研究了磁共振静脉血管造影(MRV)上肿瘤周围血管特征与窦侵犯状态之间的关系。
由四位经验丰富的神经放射科医生独立评估相位对比MRV(PC-MRV,n = 46)和对比增强MRV(CE-MRV,n = 39)的图像,包括相邻窦的状态、肿瘤周围血管计数以及与直径相关的参数。将手术期间根据Sindou标准确定的窦侵犯状态作为金标准。进一步分析这些基于MRV的血管特征与窦侵犯状态之间的关系。
基于PC-MRV(n = 46)和CE-MRV(n = 39)判断窦侵犯的总准确率分别为63%和74.4%。基于MRV的血管计数和相关直径参数在非侵犯组和侵犯组之间显示出统计学差异(P<0.05)。在PC-MRV上3条血管和CE-MRV上5.5条血管的截断值下,预测窦侵犯状态最终分别达到了69.6%和84.6%的准确率。此外,在进一步的亚组分析中,血管计数、血管直径总和以及最大血管直径仍存在显著差异。基于MRV相关血管特征的综合广义线性模型(GLM)在窦侵犯诊断中表现出最佳性能,PC-MRV的受试者操作特征曲线下面积为0.859,CE-MRV为0.913。
对于鼻窦旁脑膜瘤,MRV上的肿瘤周围血管特征,尤其是血管计数,与窦的状态密切相关,因此可能是预测窦侵犯的一种新工具。