J Korean Soc Radiol.  2020 May;81(3):467-487. 10.3348/jksr.2020.81.3.465.

Current Applications and Future Perspectives of Brain Tumor Imaging

• Park JE
• Kim HS

• KMID: 2502346
• DOI: http://doi.org/10.3348/jksr.2020.81.3.465

Abstract

Anatomical imaging is the basis of the diagnosis and treatment response assessment of brain tumors. Among the existing imaging techniques currently available in clinical practice, diffusion- weighted imaging and perfusion imaging provide additional information. Recently, with the increasing importance of evaluation of the genomic variation and heterogeneity of tumors, clinical application of imaging techniques using radiomics and deep learning is expected. In this review, we will describe recommendations for magnetic resonance imaging protocols focusing on anatomical images that are still important in the clinical application of brain tumor imaging, and the basic principles of diffusion-weighted imaging and perfusion imaging among the advanced imaging techniques, as well as their pathophysiological background and clinical application. Finally, we will review the future perspectives of radiomics and deep learning applications in brain tumor imaging, which have been studied to a great extent due to the development of computer technology.

Keyword

Brain Neoplasm; Magnetic Resonance Imaging; Diffusion; Perfusion; Machine Learning