ArticleWorld journal of nuclear medicine
Utility of FET-PET in detecting high-grade gliomas presenting with equivocal MR imaging features.
Article in World journal of nuclear medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Trial
- Cutting-edge approaches in pet imaging for gliomas: current applications for neurooncologists and the path to theranostic breakthroughs.European journal of nuclear medicine and molecular imaging · 2026Review
- Preclinical Comparison ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Assessing the role of FET-PET imaging in glioblastoma recurrence: A retrospective analysis of diagnostic accuracy.Brain & spine · 2025Article
- Liquid biopsy for improving diagnosis and monitoring of CNS lymphomas: A RANO review.Neuro-oncology · 2024Review
- Article
- Imaging Role in Diagnosis, Prognosis, and Treatment Response Prediction Associated with High-grade Glioma.Journal of medical signals and sensors · 2024Review
- Neuroradiology of acute pathologies in adults with hematologic malignancies: a pictorial review.Quantitative imaging in medicine and surgery · 2023Review
- The utility of PET for detecting corticotropinomas in Cushing disease: a scoping review.Neurosurgical review · 2023Article
- Positron emission tomography and magnetic resonance imaging in primary central nervous system lymphoma-a narrative review.Annals of lymphoma · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-grade gliomas, metastases, and primary central nervous system lymphoma (PCNSL) are common high-grade brain lesions, which may have overlapping features on magnetic resonance (MR) imaging. Our objective was to assess the utility of 18-fluoride-fluoro-ethyl-tyrosine positron emission tomography (FET-PET) in reliably differentiating between these lesions, by studying their metabolic characteristics. Patients with high-grade brain lesions suspicious for glioma, with overlapping features for metastases and PCNSL were referred for FET-PET by Neuroradiologists from Multidisciplinary Neuro-Oncology Joint Clinic. Tumor-to-contralateral white mater ratio (T/Wm) at 5 and 20 min was derived and compared to histopathology. Receiver operating characteristic curve analysis was used to find the optimal T/Wm cutoff to differentiate between the tumor types. T/Wm was higher for glial tumors compared to nonglial tumors (metastases, PCNSL, tuberculoma, and anaplastic meningioma). A cutoff of 1.9 was derived to reliably diagnose a tumor of glial origin with a sensitivity and specificity of 93.8% and 91%, respectively. FET-PET can be used to diagnose glial tumors presenting as high-grade brain lesions when MR findings show overlapping features for other common high-grade lesions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.