Multiparametric Simultaneous Hybrid 18F-FDG PET/MRI Incorporating Intratumoral and Peritumoral Regions for Grading of Glioma
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.
Authors
- Jiabo Li
- Guihua Jiang (ORCID: https://orcid.org/0000-0002-8603-0571)
- Yu‐Ping Zeng
- Wanyi Zhen
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3855
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00