TCGA-TCIA–Based CT Radiomics Study for Noninvasively Predicting Epstein-Barr Virus Status in Gastric Cancer
Huiping Zhao, Weiwei Li, Peijie Lyu, Xiao Zhang, Huan Liu, Pan Liang, Jianbo Gao
Abstract
The 2D and 3D radiomics nomograms might have the potential to be used as effective tools for prediction of EBV in GC. When time spent on segmentation is considered, the 2D nomogram is more highly recommended for clinical application.
Topics & Concepts
MedicineRadiomicsVirusCancerEpstein–Barr virusPathologyVirologyInternal medicineRadiologyRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosisColorectal Cancer Screening and Detection