Reproducibility of radiomics for deciphering tumor phenotype with imaging
Columbia University Irving Medical Center · Columbia University
Abstract
Radiomics (radiogenomics) characterizes tumor phenotypes based on quantitative image features derived from routine radiologic imaging to improve cancer diagnosis, prognosis, prediction and response to therapy. Although radiomic features must be reproducible to qualify as biomarkers for clinical care, little is known about how routine imaging acquisition techniques/parameters affect reproducibility. To begin to fill this knowledge gap, we assessed the reproducibility of a comprehensive, commonly-used set of radiomic features using a unique, same-day repeat computed tomography data set from lung cancer patients. Each scan was reconstructed at 6 imaging settings, varying slice thicknesses (1.25 mm, 2.5 mm and 5…
Citation impact
- FWCI
- 49.50
- Percentile
- 100%
- References
- 28
Authors
7- BZBinsheng ZhaoCorresponding
Columbia University Irving Medical Center
- YTYongqiang Tan
Columbia University Irving Medical Center
- WTWei‐Yann Tsai
Columbia University Irving Medical Center, Columbia University
- JQJing Qi
Columbia University Irving Medical Center
- CXChuanmiao Xie
Columbia University Irving Medical Center
Topics & keywords
- Radiogenomics
- Radiomics
- Reproducibility
- Medicine
- Medical imaging
- Data set
- Cancer imaging
- Computer science
- Good health and well-being