Radiomics for image-based molecular diagnosis of gliomas

Abstract

Radiomics is a newly developing research field in radiology that enables comprehensive analysis of radiographical images, which process aims to directly connect radiological images and molecular characteristics of neoplasm. Numerous texture analysis is performed with the images and those parameters are then sent into statistical modeling for predicting underlying biological characteristics of the tumor. This technique has become possible with the aid of high performing computational power and in some cases assistance of artificial intelligence. In this short review, the author would like to discuss the current trend of radiomics in gliomas and also comment on the future direction that this research field is desired to pursue.