脑肿瘤放射基因组学的研究进展  

Advances in radiogenomics research of brain neoplasms

作　　者：周英[1] 程东风[1] 万振法[1] 刘信礼[1] ZHOU Ying;CHENG Dongfeng;WAN Zhenfa;LIU Xinli(Department of Radiology,The Fourth People’s Hospital of Jinan City,Jinan 250030,China)

机构地区：[1]山东省济南市第四人民医院放射科,山东济南250030

出　　处：《医学影像学杂志》2022年第9期1581-1583,共3页Journal of Medical Imaging

摘　　要：本文综述深度学习放射基因组学体系结构及其在放射组学和脑肿瘤中的应用,说明放射基因组学研究的最新进展,突出分子或遗传信息与成像表型关联的临床意义,强调发现新颖、高分辨的组合生物标志物的潜力。The main aims of the present review were to summarize the most important results concerning the application of deep learning in radiogenomics,to highlight the clinical significance of associating molecular or genetic information with imaging phenotype,to emphasize the potential for the discovery of novel,highly discriminative combined biomarkers and at the same time,to discuss the main limitations concerning the state-of-the-art research in the field.

关 键 词：脑肿瘤 放射基因组学 人工智能 深度学习 精准医疗 

分 类 号：R739.41[医药卫生—肿瘤] R445[医药卫生—临床医学]