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Abstract | FZJ-2022-03904 |
2022
Abstract: ABSTRACTNeuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET) provide valuable diagnostic information in the follow-up of patients with glioma. Particularly PET using radiolabeled amino acids, advanced MRI techniques such as perfusion-weighted imaging, diffusion-weighted imaging or MR spectroscopy, and combinations thereof demonstrated their potential for a non-invasive assessment of biological characteristics of brain cancer. Considering the growing complexity of neuroimaging data, advanced statistical methods from the field of artificial intelligence such as radiomics play an important role for clinical decision-making and have the potential to significantly impact diagnosis and response assessment in neuro-oncology. Further, the increasing availability of hybrid PET/MRI systems and the advent of ultra-high field MRI scanners operating at magnetic field strengths of 7 Tesla or more opens new possibilities for improvements in metabolic imaging. The presentation summarizes the status of advanced MRI and PET, highlights the latest developments and methodological advancements, and envisions the future role of advanced neuroimaging in the follow-up of patients with glioma.
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