Current Applications and Future Perspectives of Brain Tumor Imaging
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 impor...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Radiology
2020-05-01
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| Series: | 대한영상의학회지 |
| Subjects: | |
| Online Access: | https://doi.org/10.3348/jksr.2020.81.3.467 |
| Summary: | 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. |
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| ISSN: | 1738-2637 2288-2928 |