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用多参数扩散张力图像进行基于voxel的集群成像,用于预测脑膜瘤的等级和增殖活动

Yuki Takahashi^1,2, Naoya Oishi³, Yukihiro Yamao^1,2

¹Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Brain and behavior

|August 30, 2023

概括

扩散张力成像参数可以预测脑膜瘤等级和增殖活动. 这种非侵入性方法有助于区分瘤类型,影响中枢神经系统瘤的治疗策略.

科学领域:

神经成像是一种神经成像.
在瘤学瘤学.
放射学放射学是一门学科.

背景情况:

脑膜瘤是最常见的中枢神经系统初级瘤.
精确预测脑膜瘤等级和增殖活动对于指导治疗策略至关重要.
扩散张力成像 (DTI) 提供了非侵入性手术前评估的潜力.

研究的目的:

调查多个DTI参数对预测脑膜瘤等级的有用性.
评估DTI衍生特征在预测脑膜瘤增殖活动 (MIB-1 LI) 的能力.
评估基于扩散张力的集群图像 (DTcIs) 在区分瘤亚型中的有效性.

主要方法:

对27名脑膜瘤患者 (19名低级,8名高级) 的回顾性分析.
提取六个DTI参数:分数异构,平均,轴向和辐射扩散度,扩散加权成像和原始T2信号.
应用双层集群方法 (自组织地图和K-手段) 来生成DTcIs.

主要成果:

16类DTcIs在区分高度和低度脑膜瘤方面取得了高精度 (0.891) (AUC:0.959).
10类DTcIs在预测较高与较低的MIB-1 LI (AUC:0.694) 中显示了中度的准确性 (0.683).
在DTcI中的特定日志比值与瘤等级和MIB-1 LI显著相关.

结论:

来自多个DTI参数的基于voxel的DTcIs有效地区分低级和高级脑膜瘤.
DTI参数还可以预测脑膜瘤增殖活动,区分较低和较高的MIB-1 LI.
这种基于DTI的方法对脑膜瘤的非侵入性术前表征具有前景.

关键词:

扩散张力成像扩散张力成像脑膜瘤是指脑膜的一个部分.支持矢量机器的支持矢量机器.基于voxel的聚类.

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