[1]韩柱君,巩贯忠,路玉昆,等. 原发性肝细胞癌的CT影像组学分析[J].中国医学物理学杂志,2018,35(12):1426-1429.[doi:DOI:10.3969/j.issn.1005-202X.2018.12.011]
　HAN Zhujun,GONG Guanzhong,LU Yukun,et al. CT radiomic features of primary hepatocellular carcinoma[J].Chinese Journal of Medical Physics,2018,35(12):1426-1429.[doi:DOI:10.3969/j.issn.1005-202X.2018.12.011]
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 原发性肝细胞癌的CT影像组学分析()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
35卷
期数:
2018年第12期
页码:
1426-1429
栏目:
医学影像物理
出版日期:
2018-12-24

文章信息/Info

Title:
 CT radiomic features of primary hepatocellular carcinoma
文章编号:
1005-202X（2018）12-1426-04
作者:
 韩柱君1; 巩贯忠2; 路玉昆2;  仇清涛2; 尹勇2; 全红1
 1.武汉大学物理科学与技术学院， 湖北 武汉 430072； 2.山东省肿瘤医院放射物理技术科， 山东 济南 250117
Author(s):
 HAN Zhujun1;  GONG Guanzhong2;  LU Yukun2;  QIU Qingtao2;  YIN Yong2;  QUAN Hong1
 1. School of Physics and Technology, Wuhan University, Wuhan 430072, China; 2. Department of Radiation Oncology Physical Technology, Shandong Cancer Hospital, Ji’nan 250117, China
关键词:
 ; 【关键词】影像组学; 肝细胞癌; 正常肝脏组织; CT增强图像
Keywords:
 ; Keywords: radiomics;  hepatocellular carcinoma;  normal liver tissue;  enhanced computed tomography image
分类号:
R318；R735.7
DOI:
DOI:10.3969/j.issn.1005-202X.2018.12.011
文献标志码:
A
摘要:
 目的：应用影像组学方法量化原发性肝细胞癌在CT增强扫描时“快进快出”的影像学表现。 方法：在平扫期、动脉期、门脉期上勾画肿瘤靶区（GTV）和部分正常肝脏组织，提取所勾画靶区的特征值，量化GTV以及正常肝脏组织在不同时相上影像组学特征值的差异。 结果：共提取55个特征，正常肝脏组织和GTV在平扫期与动脉期、平扫期与门脉期、动脉期与门脉期所提取的特征差异具有统计学意义的分别有7、8、22个和35、41、33个；GTV与正常肝脏组织在平扫期差异具有统计学意义的特征有49个，动脉期46个，门脉期38个；有6个特征与 “快进快出”现象有关。 结论：基于影像组学技术量化不同强化时机肝细胞癌和正常肝脏组织的特征，为追踪肝细胞癌肿瘤异质性及动态变化提供有效的手段。
Abstract:
 Abstract: Objective To apply radiomics for the quantitative analysis of the "fast-in, fast-out" of primary hepatocellular carcinoma (HCC) in enhanced CT scan. Methods Gross tumor volume (GTV) and partial normal liver tissues were selected as regions of interest (ROI) in different contrast-enhanced CT phases, such as plain scan phase, arterial phase and portal venous phase. After the features of target areas were extracted, the differences in radiomic features of GTV and normal liver tissue between different CT contrast-enhanced phases were quantified. Results A total of 55 radiomic features were extracted from each ROI. The number of the radiomic features with statistical significance in comparison of the normal liver tissue and GTV of plain scan phase versus arterial phase, plain scan phase versus portal venous phase, and arterial phase versus portal venous phase was 7, 8, 22, and 35, 41, 33, respectively. There were 49, 46, 38 features changed significantly between GTV and normal liver tissue in the plain scan phase, arterial phase and portal venous phase, respectively. And 6 radiomic features of GTV are related to the "fast-in, fast-out" phenomenon. Conclusion The radiomics which can be used to quantitative analyze the features of HCC and normal liver in contrast-enhanced CT phases provides an efficient method for tracking the HCC heterogeneity and the dynamic changes of the tumor.

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备注/Memo

备注/Memo:
 【收稿日期】2018-06-11
【基金项目】国家自然科学基金（81472811，81301936）
【作者简介】韩柱君，硕士研究生，研究方向：医学图像处理，E-mail：hzj2469722734@163.com
【通信作者】全红，副教授，博士生导师，研究方向：放射治疗、医学影像，E-mail: csp6606@sina.com
更新日期/Last Update: 2018-12-26