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| 影像组学在胶质瘤临床研究中的应用进展 | |
| 引用本文： | 冷月爽,王小宜,廖伟华,曹亚.影像组学在胶质瘤临床研究中的应用进展[J].中南大学学报(医学版),2018,43(4):354-359. |
| 作者姓名： | 冷月爽 王小宜 廖伟华 曹亚 |
| 作者单位： | 中南大学 1. 湘雅医院放射科，长沙 410008；2. 湘雅医院分子影像中心，长沙 410008； 3. 湘雅医院癌变与侵袭原理教育部重点实验室，长沙 410008；4. 湘雅医学院肿瘤研究所，长沙 410078 |
| 摘 要： | 胶质瘤是世界上最常见的原发性脑肿瘤，也是美国癌症和肿瘤基因图谱(the Cancer Genome Atlas，TCGA)
工程中最早完成基因测序的恶性肿瘤。2016年更新的WHO中枢神经系统肿瘤分型中，胶质瘤是所有肿瘤疾病之中第
一种通过基因表达水平与病理表现相结合的方法进行分型的肿瘤。影像组学是一种新兴的高通量定量影像数据信息
提取分析方法。影像组学是影像特征与基因组学、蛋白质组学的融合，因此在肿瘤诊断、预后及治疗方案选择的临床研究中拥有巨大潜力，对于胶质瘤的研究有着极大帮助。 |
| 关 键 词： | 影像组学 胶质瘤 分子标志物 诊断 治疗 预后 |
Radiomics in gliomas: A promising assistance for glioma clinical research |
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| LENG Yueshuang,WANG Xiaoyi,LIAO Weihua,CAO Ya.Radiomics in gliomas: A promising assistance for glioma clinical research[J].Journal of Central South University (Medical Sciences)Journal of Central South University (Medical Sciences),2018,43(4):354-359. | |
| Authors: | LENG Yueshuang WANG Xiaoyi LIAO Weihua CAO Ya |
| Affiliation: | 1. Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008; 2. Molecular Imaging Center, Xiangya Hospital, Central South University, Changsha 410008; 3. Key Laboratory of Carcinogenesis and Invasion, Ministry of Education, Xiangya Hospital, Central South University, Changsha 410008; 4. Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha 410078, China |
| Abstract: | Gliomas are the most common brain primary tumors worldwide, which is the earliest sequenced cancer gene in the Cancer Genome Atlas (TCGA) project. The World Health Organization Classification Update of Central Nervous System (CNS) Tumors 2016 highlights that glioma is the first tumor classified based on both of the molecular markers and histology. Radiomics is an extraction approach for high-throughput data which collects the quantitative image information appearing. Combined imaging data with genomics and proteomics, radiomics show promising prediction for cancer diagnosis, treatment, and prognosis. In this review, the radiomic analysis methods applied in gliomas are highlighted. Some remarkable findings confirm the considerable potential of radiomics in clinical cancer research. |
| Keywords: | radiomics gliomas molecular marker diagnosis treatment prognosis |
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