磁共振扩散峰度成像预测脑胶质瘤分子分型的研究进展
Research progress in predicting molecular typing of glioma using magnetic resonance diffusion kurtosis imaging
张婕 1秦江波 2谭艳2
作者信息
- 1. 山西医科大学医学影像学院,太原 030001
- 2. 山西医科大学第一医院影像科,太原 030001
- 折叠
摘要
脑胶质瘤是最常见的原发性颅内恶性肿瘤.2021年世界卫生组织中枢神经系统分类(World Health Organization Central Nervous System,WHO CNS)进一步细化了胶质瘤的分类,包括病理类型、组织级别及分子分型,强调了分子分型对胶质瘤诊疗的重要性.目前分子分型的诊断依赖于分子病理检测,但其存在操作有创、诊断滞后、价格昂贵的缺点.近年来,随着磁共振扩散峰度成像(diffusion kurtosis imaging,DKI)技术的发展,越来越多的研究表明,DKI在脑胶质瘤的鉴别诊断、术前分级、分子分型及预后评估等方面都展现出重要价值.本文就DKI技术预测脑胶质瘤分子分型的应用作一综述,以期为胶质瘤患者的临床治疗提供重要参考.
Abstract
Glioma is the most common primary malignant tumor in the brain parenchyma.In 2021,the World Health Organization Central Nervous System(WHO CNS)further refined the classification of gliomas by using molecular typing for pathological grading and upgrading diagnosis,deepening the importance of molecular typing in the diagnosis and treatment of gliomas.At present,the gold standard for molecular typing diagnosis is pathological testing,but it has the disadvantages of an invasive operation,delayed diagnosis,and an expensive price.In recent years,with the development of diffusion kurtosis imaging(DKI)technology,more and more studies have shown that DKI plays an important role in the differential diagnosis,tumor grading,molecular typing,and prognostic treatment of gliomas.This article provides a review of the application of DKI technology in predicting molecular typing of gliomas,aiming to provide imaging indicators for predicting molecular typing of gliomas and precise clinical treatment of gliomas.
关键词
脑胶质瘤/磁共振成像/扩散峰度成像/影像组学/分子分型Key words
glioma/magnetic resonance imaging/diffusion kurtosis imaging/radiomics/molecular typing引用本文复制引用
基金项目
国家自然科学基金(82071893)
国家自然科学基金(82371941)
山西省基础研究计划项目(202103021224405)
山西省留学人员科研项目(2023-186)
出版年
2023
国家科技期刊平台
NSTL
维普
万方数据