影像组学与影像基因组学在肺癌中的研究进展

doi:10.3760/cma.j.issn.1673-422X.2018.09.012

摘要/Abstract

摘要： 影像组学和影像基因组学通过提取、筛选并分析最有价值的定量影像组学特征，用以解析肿瘤生物学特征和临床信息。近年来，已有大量研究表明影像组学在肺癌的诊断、治疗、预测疗效及预后等方面发挥作用。而影像基因组学进一步将影像组学特征与基因组学、蛋白质组学等联系起来，在肺癌基因表型的预测及个体化精准治疗中显示出巨大价值。影像组学和影像基因组学具有无创、定量、可重复等特点，可多方位提供肿瘤生物学特性，有望在今后肺癌的精准医疗中得到广泛应用。

关键词: 肺肿瘤, 体层摄影术, X线计算机, 影像组学, 影像基因组学

Abstract: Radiomics and radiogenomics are used to provide comprehensive tumor biological characteristics and further clinical information by extracting, screening and analyzing the most valuable quantitative radiomics features. In recent years, numerous studies have shown that radiomics plays a role in the diagnosis, treatment and predicting efficacy and prognosis of lung cancer. Radiogenomics shows a great value in the prediction of lung cancer gene phenotype and individualized precision treatment by combining radiomics features with genomics, proteomics and so on. Radiomics and radiogenomics are noninvasive, quantitative, and reproducible, and they can provide multidirectional tumor biological characteristics, which are expected to be widely used in the precise medical treatment of lung cancer in the future.

Key words: Lung neoplasms, Tomography, Xray computed, Radiomics, Radiogenomics

郭天慧，王浩铭，任瑞美，徐金鹏，宋浩，肖文静，徐名金，刘希光. 影像组学与影像基因组学在肺癌中的研究进展[J]. 国际肿瘤学杂志, 2018, 45(8): 566-569.

Guo Tianhui, Wang Haoming, Ren Ruimei, Xu Jinpeng, Song Hao, Xiao Wenjing, Xu Mingjin, Liu Xiguang. Progress of radiomics and radiogenomics in lung cancer[J]. Journal of International Oncology, 2018, 45(8): 566-569.

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