Radiomics in gliomas: A promising assistance for glioma clinical research

Abstract

Gliomas are the most common brain primary tumors worldwide, which is the earliest sequenced cancer gene in the Cancer Genome Atlas (TCGA) project. The World Health Organization Classification Update of Central Nervous System (CNS) Tumors 2016 highlights that glioma is the first tumor classified based on both of the molecular markers and histology. Radiomics is an extraction approach for high-throughput data which collects the quantitative image information appearing. Combined imaging data with genomics and proteomics, radiomics show promising prediction for cancer diagnosis, treatment, and prognosis. In this review, the radiomic analysis methods applied in gliomas are highlighted. Some remarkable findings confirm the considerable potential of radiomics in clinical cancer research.