首页|基于磁共振的影像组学鉴别高级别胶质瘤和脑转移瘤的研究现状

基于磁共振的影像组学鉴别高级别胶质瘤和脑转移瘤的研究现状

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高级别胶质瘤(high-grade glioma,HGG)和脑转移瘤(brain metastases,BM)是成人最常见的脑肿瘤类型,两种肿瘤的治疗管理措施是不同的,而且由于两者影像学上特征的相似性,如何快速可靠地确定肿瘤的初步特征对临床诊断结果有着重大影响.颅脑磁共振成像(magnetic resonance imaging,MRI)包含大量的解剖特征信息,但是由于HGB和BM在磁共振影像上的有很多相似性,MRI不能准确区分HGB和BM.MRI通过机器学习算法和影像组学可以挖掘和分析肿瘤的异质性,可显著提高MRI区分HGB和BM的准确度,进而用于恶性脑肿瘤患者的临床鉴别诊断和制订患者治疗计划中去,同时避免侵入性组织采样的需要,减少患者脑组织的损伤,提高患者的诊疗体验感,具有较好的研究前景和临床实践指导意义.现就基于MRI的影像组学鉴别高级别胶质瘤和脑转移瘤的研究进展进行简单综述和未来展望.
Research Status of Magnetic Resonance-based Radiomics to Identify High-grade Gliomas and B rain Metastases
High-grade glioma(HGG)and brain metastases(BM)are the most common types of brain tumors in adults,the treatment and management measures of the two tumors are different,and due to the similarity of the imaging characteristics of the two,how to quickly and reliably determine the preliminary characteristics of the tumor has a significant impact on clinical diagnosis.Magnetic Resonance Imaging(MRI)contains a lot of anatomical feature information,but because HGB and BM have many similarities in magnetic resonance images,MRI cannot accurately distinguish between HGB and BM.MRI can mine and analyze tumor heterogeneity through machine learning algorithms and radiomics,which can significantly improve the accuracy of MRI to distinguish between HGB and BM,and then be used for clinical differential diagnosis of malignant brain tumor patients and formulation of patient treatment plans,while avoiding the need for invasive tissue sampling,reducing the damage of patients'brain tissue,and improving patients'sense of diagnosis and treatment experience,which has good research prospects and clinical practice guiding significance.This paper briefly reviews the research progress of MRI-based radiomics to distinguish high-grade gliomas and brain metastases.

Magnetic Resonance imagingRadiomicsHigh-grade GliomaGlioblastomaBrain Metastases

李亚萍、胡君

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湖北中医药大学检验学院(湖北武汉 430065)

湖北中医药大学湖北省中医院放射科(湖北武汉 430061)

磁共振成像 影像组学 高级别胶质瘤 胶质母细胞瘤 脑转移瘤

湖北省自然科学基金创新发展联合基金(2022)

2022CFD139

2024

中国CT和MRI杂志
北京大学深圳临床医学院 北京大学第一医院

中国CT和MRI杂志

CSTPCD
影响因子:1.578
ISSN:1672-5131
年,卷(期):2024.22(5)
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