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

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
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article

Multiparametric Simultaneous Hybrid 18F-FDG PET/MRI Incorporating Intratumoral and Peritumoral Regions for Grading of Glioma

Jiabo Li, Guihua Jiang, Yu‐Ping Zeng, Wanyi Zhen
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
Radiomics and Machine Learning in Medical Imaging
article

Multiparametric Simultaneous Hybrid 18F-FDG PET/MRI Incorporating Intratumoral and Peritumoral Regions for Grading of Glioma

Jiabo Li, Guihua Jiang, Yu‐Ping Zeng, Wanyi Zhen
article en

Abstract

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.

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
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Openalex Percentile: Top 63%
Radiomics and Machine Learning in Medical Imaging
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