Predicting Glioma Recurrence Using 18F-FDG PET/CT, MRI, and Tumor Markers: A Combined Approach

SUVmax, L/N, ADC, CBF, MLR, and NLR are correlated with glioma recurrence. The combined use of SUVmax, L/N, ADC, CBF, MLR, and NLR provides higher diagnostic value for glioma recurrence.

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Publication Details

Journal
International Journal of General Medicine
Published
2025-05-01
DOI
https://doi.org/10.2147/ijgm.s520876
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Predicting Glioma Recurrence Using 18F-FDG PET/CT, MRI, and Tumor Markers: A Combined Approach

Jingjuan Wei
2 citations
International Journal of General Medicine
Radiomics and Machine Learning in Medical Imaging
2.72
article

Predicting Glioma Recurrence Using 18F-FDG PET/CT, MRI, and Tumor Markers: A Combined Approach

Jingjuan Wei
article en
2 citations

Abstract

SUVmax, L/N, ADC, CBF, MLR, and NLR are correlated with glioma recurrence. The combined use of SUVmax, L/N, ADC, CBF, MLR, and NLR provides higher diagnostic value for glioma recurrence.

International Journal of General MedicineVol. Volume 18
Liaoning Provincial People's Hospital (CN)
Zero hunger
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.72
DOIOpen Access PDFOpenAlex
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Predicting Glioma Recurrence Using 18F-FDG PET/CT, MRI, and Tumor Markers: A Combined Approach — Jingjuan Wei · International Journal of General Medicine (2025) | TGRS Research Map | TGRS