Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
McGill University Health Centre · Jewish General Hospital · +8 more institutions
Abstract
Quantitative extraction of high-dimensional mineable data from medical images is a process known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk assessment and the quantification of intratumoural heterogeneity. In this work, 1615 radiomic features (quantifying tumour image intensity, shape, texture) extracted from pre-treatment FDG-PET and CT images of 300 patients from four different cohorts were analyzed for the risk assessment of locoregional recurrences (LR) and distant metastases (DM) in head-and-neck cancer. Prediction models combining radiomic and clinical variables were constructed via random forests and imbalance-adjustment strategies using two of the four cohorts.…
Citation impact
- FWCI
- 37.49
- Percentile
- 100%
- References
- 60
Authors
12Topics & keywords
- Radiomics
- Medicine
- Head and neck cancer
- Oncology
- Head and neck
- Internal medicine
- Radiation therapy
- Risk assessment
- Life in Land