CASIA OpenIR  > 中国科学院分子影像重点实验室
Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer
Song, Jiangdian1,2; Zang, Yali2; Li, Weimin3; Zhong, Wenzhao4; Shi, Jingyun6; Dong, Di2; Liu, Zaiyi5; Tian, Jie2
2017
Conference NameSPIE Medical Imaging
Source PublicationSPIE Medical Imaging 2017
Conference Date2017-02
Conference PlaceOrlando, Florida USA
AbstractAccurately 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.
KeywordRadiomics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12494
Collection中国科学院分子影像重点实验室
Corresponding AuthorZang, Yali; Tian, Jie
Affiliation1.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
Recommended Citation
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],2017.
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