Radiomics in Neuro-Oncology: Basics, Workflow, and Applications

9th July 2020

Philipp Lohmann, Norbert Galldiks, Martin Kocher, Alexander Heinzel, Christian P. Filss, Carina Stegmayr, Felix M. Mottaghy, Gereon R. Fink, N. Jon Shah, and Karl-Josef Langen

Radiomics is a method used in oncology to identify features in medical images not visible to the naked eye by using specialised algorithms from the broad field of artificial intelligence and machine learning. By identifying the distinctive imaging features of diseases, it is possible to generate mathematical models suitable for therapy response assessment or non-invasive diagnosis of important biomarkers, thereby providing valuable information for therapy management.

This review article provides a summary of the basic concepts involved in radiomics, the current workflow, and methods used in radiomics. The review focusses on feature-based radiomics in neuro-oncology and provides selected examples of its clinical application.

Original publication:

Radiomics in Neuro-Oncology: Basics, Workflow, and Applications