CASIA OpenIR  > 中国科学院分子影像重点实验室
Association between Tumor Heterogeneity and Progression-free Survival in Non-small Cell Lung Cancer Patients with EGFR Mutations Undergoing Tyrosine Kinase Inhibitors Therapy
Song, Jiangdian1,2; Dong, Di2; Huang, Yanqi3; Zang, Yali2; Liu, Zaiyi3; Tian, Jie2
2016
Conference NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Source PublicationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Conference Date2016-8
Conference PlaceOrlando, Florida USA
AbstractFor 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.
KeywordRadiomics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12477
Collection中国科学院分子影像重点实验室
Corresponding AuthorZang, Yali; Liu, Zaiyi; Tian, Jie
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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],2016.
Files in This Item: Download All
File Name/Size DocType Version Access License
2016.EMBC16_0345_FI.(221KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Song, Jiangdian]'s Articles
[Dong, Di]'s Articles
[Huang, Yanqi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Song, Jiangdian]'s Articles
[Dong, Di]'s Articles
[Huang, Yanqi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Song, Jiangdian]'s Articles
[Dong, Di]'s Articles
[Huang, Yanqi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2016.EMBC16_0345_FI.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.