扩散张量成像定量分析在胶质瘤分级及分子分型的研究进展

Research advances in the quantitative analysis based on diffusion tensor imaging for grading and molecular typing of gliomas

胶质瘤在成人原发恶性脑肿瘤约占80%,术前对其精准分级及分子分型能协助临床制订个体化治疗方案,延长患者生存期。扩散张量成像(diffusion tensor imaging,DTI)是一种可以利用水分子扩散改变反映组织结构变化的MRI技术,能无创在体评价肿瘤内水分子扩散速度及各向异性,进而为无创预测胶质瘤术前分级、基因表型预测提供影像学指标。本文就扩散张量成像的扩散系数及各向异性等定量参数在预测胶质瘤分级及分子分型的临床研究进行综述,旨在为术前精准预测胶质瘤分级及分子分型提供可靠的影像学指标,从而为胶质瘤患者精准治疗提供帮助。

Gliomas represent approximately 80%of primary malignant brain tumors in adults.Accurate preoperative grading and molecular classification of gliomas can aid in formulating personalized treatment plans and extending the survival period of patients.Diffusion tensor imaging,a magnetic resonance imaging technique,evaluates water molecule diffusion to reflect alterations in tissue structure.This method can non-invasively evaluates water molecule diffusion rate and anisotropy within tumors in vivo,offering imaging metrics for predicting preoperative glioma grading and genotyping.This article provides a comprehensive review of the clinical studies of diffusion tensor imaging with quantitative parameters such as diffusion coefficient and anisotropy in the prediction of glioma grading and molecular classification,with the aim of providing reliable imaging indices for the accurate prediction of glioma grading and molecular typing before surgery,thus assisting in the accurate treatment of glioma patients.