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Role of diffusional kurtosis imaging in grading of brain gliomas: a protocol for systematic review and meta-analysis

机译:扩散峰度成像在脑神经胶质瘤分级中的作用:系统评价和荟萃分析的方案

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摘要

IntroductionCentral nervous system (CNS) gliomas are the most common primary intra-axial brain tumours and pose variable treatment response according to their grade, therefore, precise staging is mandatory. Histopathological analysis of surgical tumour samples is still deemed as the state-of-the-art staging technique for gliomas due to the moderate specificity of the available non-invasive imaging modalities. A recently evolved analysis of the tissue water diffusion properties, known as diffusional kurtosis imaging (DKI), is a dimensionless metric, which quantifies water molecules’ degree of non-Gaussian diffusion, hence reflects tissue microenvironment’s complexity by means of non-invasive diffusion-weighted MRI acquisitions. The objective of this systematic review and meta-analysis is to explore the performance of DKI in the presurgical grading of gliomas, both regarding the differentiation between high-grade and low-grade gliomas as well as the discrimination between gliomas and other intra-axial brain tumours.
机译:简介中枢神经系统(CNS)神经胶质瘤是最常见的原发性轴内脑肿瘤,根据其等级不同会引起不同的治疗反应,因此必须进行精确的分期。由于可用的非侵入性成像方式的中等特异性,外科肿瘤样品的组织病理学分析仍被认为是神经胶质瘤的最新分期技术。最近对组织水扩散特性进行的分析,称为扩散峰度成像(DKI),是一种无量纲的指标,它可以量化水分子的非高斯扩散程度,从而通过无创扩散来反映组织微环境的复杂性,加权MRI采集。本系统综述和荟萃分析的目的是探讨DKI在神经胶质瘤的术前分级中的作用,既涉及高级别和低级别神经胶质瘤的区别,又区分神经胶质瘤与其他轴内脑肿瘤。

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