Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer
Southern Medical University · Guangdong Academy of Medical Sciences · +6 more institutions
Abstract
Purpose To develop a radiomics signature to estimate disease-free survival (DFS) in patients with early-stage (stage I–II) non–small cell lung cancer (NSCLC) and assess its incremental value to the traditional staging system and clinical-pathologic risk factors for individual DFS estimation. Materials and Methods Ethical approval by the institutional review board was obtained for this retrospective analysis, and the need to obtain informed consent was waived. This study consisted of 282 consecutive patients with stage IA–IIB NSCLC. A radiomics signature was generated by using the least absolute shrinkage and selection operator, or LASSO, Cox regression model. Association between the radiomics signature and DFS…
Citation impact
- FWCI
- 55.91
- Percentile
- 100%
- References
- 43
Authors
9- YHYanqi HuangCorresponding
Southern Medical University, Guangdong Academy of Medical Sciences, Guangdong General Hospital
- ZLZaiyi Liu
Guangdong General Hospital, Guangdong Academy of Medical Sciences
- LHLan He
Guangdong General Hospital, Guangdong Academy of Medical Sciences, South China University of Technology
- XCXin Chen
First Affiliated Hospital of Guangzhou Medical University, Guangzhou First People's Hospital, Guangzhou Medical University
- DPDan Pan
Guangdong Academy of Medical Sciences, Guangdong General Hospital
Topics & keywords
- Medicine
- Nomogram
- Radiomics
- Proportional hazards model
- Stage (stratigraphy)
- Confidence interval
- Oncology
- Lung cancer
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