Keywords: Tumors (Pre-Treatment), Brain, Glioma, PET/MRI
Motivation: The biological behavior and prognosis between low- and high-grade gliomas (HGG) are different, it is important to preoperatively judge the grading in clinical practice.
Goal(s): Multiple parameters derived from hybrid 18F-FDG PET/MRI of the solid component and peritumoral zone (PTZ) can potentially improve the accuracy of glioma grading.
Approach: We employed multiparametric simultaneous hybrid 18F-FDG PET/MRI including PET, ASL, and DWI from the solid component and PTZ of glioma to differentiate HGG from LGG.
Results: The combination of multiple parameters from hybrid PET/MRI in tumor and PBZ can provide better diagnostic efficacy than a single parameter alone.
Impact: Incorporating multiple tumoral regions into multiparameter from simultaneous 18F-FDG PET/MRI can optimize the workflow efficiency for glioma grading, and aid treatment decision-making to offer appropriate, patient-tailored precision medicine, and reduce the risk of unnecessary or inappropriate treatments.
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