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
吴晓怡 1吴元魁1
作者信息
- 1. 南方医科大学南方医院影像中心,广州 510515
- 折叠
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.
Abstract
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Key words
glioma/magnetic resonance imaging/diffusion tensor imaging/imaging omics/pathology/genotyping引用本文复制引用
基金项目
广东省自然科学基金项目(2023A1515011453)
广州市科技计划项目(202103000037)
出版年
2024
国家科技期刊平台
NSTL
万方数据