Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer
文献类型：会议论文
| 作者 | Song, Jiangdian1,2; Zang, Yali2 ; Li, Weimin3; Zhong, Wenzhao4; Shi, Jingyun6; Dong, Di2; Liu, Zaiyi5; Tian, Jie2
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| 出版日期 | 2017 |
| 会议日期 | 2017-02 |
| 会议地点 | Orlando, Florida USA |
| 关键词 | Radiomics |
| 英文摘要 | Accurately predict the risk of disease progression and benefit of tyrosine kinase inhibitors (TKIs) therapy for stage IV non-small cell lung cancer (NSCLC) patients with activing epidermal growth factor receptor (EGFR) mutations by current staging methods are challenge. We postulated that integrating a classifier consisted of multiple computed tomography (CT) phenotypic features, and other clinicopathological risk factors into a single model could improve risk stratification and prediction of progression-free survival (PFS) of EGFR TKIs for these patients. |
| 会议录 | SPIE Medical Imaging 2017
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| 源URL | [http://ir.ia.ac.cn/handle/173211/12494]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 通讯作者 | Zang, Yali; Tian, Jie |
| 作者单位 | 1.Sino-Dutch Biomedical and Information Engineering School, Northeastern University 2.Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences 3.West China Hospital, Chengdu, 610041, China 4.Guangdong Lung Cancer Institute, Guangdong Academy of Medical Sciences 5.Department of radiology, Guangdong General Hospital 6.Department of radiology, Shanghai Pulmonary Hospital |
| 推荐引用方式 GB/T 7714 | Song, Jiangdian,Zang, Yali,Li, Weimin,et al. Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer[C]. 见:. Orlando, Florida USA. 2017-02. |
入库方式： OAI收割
来源：自动化研究所
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