MR扩散张量成像预测脑胶质瘤级别及基因型的研究进展  

Research progress of magnetic resonance diffusion tensor imaging in glioma grading and genotype prediction

作　　者：吴晓怡 吴元魁[1] WU Xiaoyi;WU Yuankui(Department of Medical Imaging,Nanfang Hospital,Southern Medical University,Guangzhou 510515,China)

机构地区：[1]南方医科大学南方医院影像中心,广州510515

出　　处：《磁共振成像》2024年第6期190-195,共6页Chinese Journal of Magnetic Resonance Imaging

基　　金：广东省自然科学基金项目(编号:2023A1515011453);广州市科技计划项目(编号:202103000037)。

摘　　要：胶质瘤是颅内最常见的原发性恶性肿瘤,不同级别、不同基因型的胶质瘤治疗策略和预后存在明显差异。MR扩散张量成像(diffusion tensor imaging,DTI)可反映脑组织微观结构尤其是白质纤维束的病理性变化,大量学者对其在胶质瘤病理级别和基因特征的预测价值进行了研究。本文就基于DTI定量参数和影像组学模型预测胶质瘤级别及基因型的研究进展进行综述,以期为胶质瘤患者个体化诊疗计划制订及预后预测提供影像学帮助。Glioma is the most common intracranial primary malignant tumor,and the treatment and prognosis of different grades and genotypes of glioma are obviously different.Diffusion tensor imaging(DTI)can reflect the pathological changes of the brain microstructure,especially the white matter tracts.Many scholars have studied the diagnostic value of DTI for glioma grading and genotyping.This article mainly reviews the research progress of quantitative metrics and radiomics model based on DTI which has been used to predict glioma grade and genotype,in order to provide imaging help for individualized diagnosis and treatment plans and prognosis prediction of glioma patients.

关 键 词：胶质瘤 磁共振成像 扩散张量成像 影像组学 病理 基因分型 

分 类 号：R445.2[医药卫生—影像医学与核医学] R730.264[医药卫生—诊断学]