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Updated: Jan 21, 2026

Determining Glucose Metabolism Kinetics Using 18F-FDG Micro-PET/CT
Published on: May 2, 2017
Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma
1Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
This study introduces a radiomics method using 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography (PET) to non-invasively assess glioma proliferation. The developed radiomics signature shows promise for predicting patient prognosis.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Glioma proliferative activity is crucial for prognosis.
- Current methods for assessing proliferation, like Ki-67 index, are invasive.
- Non-invasive methods are needed for glioma evaluation.
Purpose of the Study:
- To investigate a radiomics method using 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography (PET) for non-invasive evaluation of glioma proliferative activity.
- To develop and validate predictive signatures for glioma prognosis.
Main Methods:
- Retrospective analysis of 123 primary glioma patients.
- Extraction and selection of 1,561 radiomics features from FDG-PET scans.
- Generation of radiomics, clinical, and fusion signatures; performance evaluation using ROC analysis.
Main Results:
- A radiomics signature comprising nine features achieved high accuracy (81.7% primary, 73.2% validation) and AUC (0.88 primary, 0.76 validation).
- Clinical and fusion signatures showed overfitting in the validation cohort.
- Both Ki-67 index and the radiomics signature effectively stratified patients into distinct prognostic groups.
Conclusions:
- Radiomics signature derived from 18F-FDG-PET is a promising non-invasive tool for measuring glioma proliferative activity.
- This method aids in predicting patient prognoses, offering a valuable alternative to invasive techniques.
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