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微观结构参数的诊断性能来源于依赖时间的扩散MRI用于分级脑膜瘤:一项前性研究

Yuxi Xie¹, Li Liu², Zhuoying Ruan¹

¹Department of Radiology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Rd., Shanghai 200040, China (Y.X., Z.R., D.W., Y.Y., B.Y., Y.L.).

Academic radiology

|February 20, 2026

概括

时间依赖的扩散MRI (t_d-dMRI) 可以非侵入性地分级脑膜瘤. 来自t_d-dMRI的微结构参数显示出低级和高级脑膜瘤的手术前评估的前景.

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:

术前脑膜瘤分级对于治疗规划和预测患者的结果至关重要.
精确的分级有助于区分低度脑膜瘤 (LGM) 和高度脑膜瘤 (HGM).

研究的目的:

为了从时间依赖的扩散MRI (t_d-dMRI) 中前性脑膜瘤分级中前性评估微结构参数.
评估t_d-dMRI参数与脑膜瘤增殖活动之间的相关性.

主要方法:

214名脑膜瘤患者接受了t_d-dMRI.
细胞内体积分数 (f_in),细胞直径,细胞性和细胞外扩散性 (D_ex) 都得到了推导.
使用导出队列 (N=159) 和验证队列 (N=55);使用ROC分析和后勤回归来评估诊断性能.

主要成果:

与LGM相比,HGMs表现出更高的f_in和细胞性,以及较低的直径和D_ex.
f_in显示出在衍生队列中分级的最高AUC (0.936);一个组合模型的AUC达到0.951.
t_d-dMRI参数与Ki-67指数和基于组织学的测量有很强的相关性,在验证队列中表现一致.

结论:

t_d-dMRI衍生的微结构参数是手术前脑膜瘤分级的有希望的非侵入性生物标志物.
这些参数为区分LGM和HGM提供了一致的诊断性能.
t_d-dMRI 促进脑膜瘤等级和增殖活动的术前评估.

关键词:

基-67指数是一个指数.阴道瘤是发生在阴道上的人.时间依赖的扩散MRI.瘤分级是指瘤的分级.

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