Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma-A Pilot Study.
Chen-Yi XieYi-Huai HuJoshua Wing-Kei HoLu-Jun HanHong YangJing WenKa-On LamIan Yu-Hong WongSimon Ying-Kit LawKeith Wan Hang ChiuJian-Hua FuVarut VardhanabhutiPublished in: Cancers (2021)
Genomics association was useful for radiomic feature selection. The established radiomic signature was prognostic for DFS. The radiomic nomogram could provide a valuable prediction for individualized long-term survival.