Association between Tumor Heterogeneity and Progression-free Survival in Non-small Cell Lung Cancer Patients with EGFR Mutations Undergoing Tyrosine Kinase Inhibitors Therapy
文献类型：会议论文
| 作者 | Song, Jiangdian1,2; Dong, Di2 ; Huang, Yanqi3; Zang, Yali2; Liu, Zaiyi3; Tian, Jie2
|
| 出版日期 | 2016 |
| 会议日期 | 2016-8 |
| 会议地点 | Orlando, Florida USA |
| 关键词 | Radiomics |
| 英文摘要 | For non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations, current staging methods do not accurately predict the risk of disease recurrence after tyrosine kinase inhibitors (TKI) therapy. Developing a noninvasive method to predict whether individual could benefit from TKI therapy has great clinical significance. In this research, a radiomics approach was proposed to determine whether the tumor heterogeneity of NSCLC, which was measured by the texture on computed tomography (CT), could make an independent prediction of progression-free survival (PFS). A primary dataset contained 80 patients (median PFS, 9.5 months) with positive EGFR mutations and a validation dataset contained 72 NSCLC (median PFS, 10.2 months) patients were used for prognosis trial. The experiment results indicated that the features: “Cluster Prominence of Gray Level Co-occurrence” (hazard ratio [HR]: 2.13, 95% confidence interval [CI]: (1.33, 3.40), P = 0.010) and “Short Run High Gray Level Emphasis of Run Length” (HR: 2.43, 95%CI: (1.46, 4.05), P = 0.005) were significantly associated with PFS in the primary dataset, and these two texture features also make a consistent performance on the validation cohort. Our study further supported that the quantitative measurement of tumor heterogeneity can be associated with prognosis of NSCLC patients with EGFR mutation. |
| 会议录 | Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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| 源URL | [http://ir.ia.ac.cn/handle/173211/12477]  |
| 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; Liu, Zaiyi; Tian, Jie |
| 作者单位 | 1.Sino-Dutch Biomedical and Information Engineering School, Northeastern University 2.The Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences 3.Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences |
| 推荐引用方式 GB/T 7714 | Song, Jiangdian,Dong, Di,Huang, Yanqi,et al. Association between Tumor Heterogeneity and Progression-free Survival in Non-small Cell Lung Cancer Patients with EGFR Mutations Undergoing Tyrosine Kinase Inhibitors Therapy[C]. 见:. Orlando, Florida USA. 2016-8. |
入库方式： OAI收割
来源：自动化研究所
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