Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
| Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features | |
Zhou, Hongyu1,2,4; Dong, Di2,4 ; Chen, Bojiang3; Fang, Mengjie2; Cheng, Yue3; Gan, Yuncun; Zhang, Rui3; Zhang, Liwen2; Zang, Yali2; Liu, Zhenyu2; Zheng, Hairong1; Li, Weimin3; Tian, Jie2,4
| |
| 发表期刊 | TRANSLATIONAL ONCOLOGY
 |
| 2018-02-01 | |
| 卷号 | 11期号:1页码:31-36 |
| 文章类型 | Article |
| 摘要 | OBJECTIVES: To analyze the distant metastasis possibility based on computed tomography (CT) radiomic features in patients with lung cancer. METHODS: This was a retrospective analysis of 348 patients with lung cancer enrolled between 2014 and February 2015. A feature set containing clinical features and 485 radiomic features was extracted from the pretherapy CT images. Feature selection via concave minimization (FSV) was used to select effective features. A support vector machine (SVM) was used to evaluate the predictive ability of each feature. RESULTS: Four radiomic features and three clinical features were obtained by FSV feature selection. Classification accuracy by the proposed SVM with SGD method was 71.02%, and the area under the curve was 72.84% with only the radiomic features extracted from CT. After the addition of clinical features, 89.09% can be achieved. CONCLUSION: The radiomic features of the pretherapy CT images may be used as predictors of distant metastasis. And it also can be used in combination with the patient's gender and tumor T and N phase information to diagnose the possibility of distant metastasis in lung cancer. |
| 关键词 | Radiomics |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| DOI | 10.1016/j.tranon.2017.10.010 |
| 关键词[WOS] | IMAGES ; CT ; PREDICTION ; SIGNATURE ; SURVIVAL ; DISEASE |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | National Natural Science Foundation of China(81227901 ; National Key R&D Program of China(2017YFA0205200 ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences(KFJ-SW-STS-160) ; Instrument Developing Project of the Chinese Academy of Sciences(YZ201502) ; Beijing Municipal Science and Technology Commission(Z161100002616022) ; Key Program from the Department of Science and Technology, Sichuan Province, China(2017SZ0052) ; Youth Innovation Promotion Association CAS ; 81771924 ; 2017YFC1308700 ; 81501616 ; 2017YFC1308701 ; 61231004 ; 2017YFC1309100) ; 81671851 ; 81527805) |
| WOS研究方向 | Oncology |
| WOS类目 | Oncology |
| WOS记录号 | WOS:000423454900005 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/20308 |
| 专题 | 中国科学院分子影像重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen Inst Adv Technol, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China 2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 3.Sichuan Univ, West China Hosp, Dept Resp & Crit Care Med, Chengdu 610041, Sichuan, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 第一作者单位 | 中国科学院分子影像重点实验室 |
| 推荐引用方式 GB/T 7714 | Zhou, Hongyu,Dong, Di,Chen, Bojiang,et al. Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features[J]. TRANSLATIONAL ONCOLOGY,2018,11(1):31-36. |
| APA | Zhou, Hongyu.,Dong, Di.,Chen, Bojiang.,Fang, Mengjie.,Cheng, Yue.,...&Tian, Jie.(2018).Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features.TRANSLATIONAL ONCOLOGY,11(1),31-36. |
| MLA | Zhou, Hongyu,et al."Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features".TRANSLATIONAL ONCOLOGY 11.1(2018):31-36. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2017_TO_Zhouhongyu.p（626KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论