ReviewNuclear medicine and molecular imaging2024
Recent Update on PET/CT Radiotracers for Imaging Cerebral Glioma.
Review in Nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 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
14 citing papers in PubMed.
- Role of CXCR4 PET Imaging for the Evaluation of Gliomas: A Comprehensive Literature Review.Cancers · 2026Review
- Clinical and Paraclinical Characteristics Relevant to NeuroRehabilitation and Their Outcomes in Postoperative Glioblastoma Patients: A PRISMA Systematic Literature Review.Life (Basel, Switzerland) · 2026Review
- Comparative Insights intoMolecular imaging and radionuclide therapy · 2026Article
- Article
- Imaging vascular characteristics and glycolytic metabolism of glioblastoma in a chick embryo model usingMolecular imaging and biology · 2026Article
- Microfluidic approaches for liquid biopsy in glioblastoma: Insights into diagnostic and follow-up strategies.Bioengineering & translational medicine · 2026Review
- Beyond morphology: imaging the glioblastoma microenvironment in the era of quantitative neuro-oncology.Frontiers in medicine · 2026Review
- RANO 2.0: critical updates and practical considerations for radiological assessment in neuro-oncology.Japanese journal of radiology · 2025Review
- Tumor-specific PET tracer imaging and contrast-enhanced Mri based tumor volume differences inspection of glioblastoma patients.Scientific reports · 2025Article
- From Seeing to Healing: The Clinical Potential of Radiotracers in Pediatric Neuro-Oncology.Cancers · 2025Review
- The Evolving Landscape of Radiomics in Gliomas: Insights into Diagnosis, Prognosis, and Research Trends.Cancers · 2025Review
- Synthesis, preclinical assessment, and first-in-human study of [European journal of nuclear medicine and molecular imaging · 2025Article
- Pre-operative dual-time-point [European journal of nuclear medicine and molecular imaging · 2025Article
- Multi-threshold volumetricNeuro-oncology advancesArticle
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Positron emission tomography/computed tomography (PET/CT) has dramatically altered the landscape of noninvasive glioma evaluation, offering complementary insights to those gained through magnetic resonance imaging (MRI). PET/CT scans enable a multifaceted analysis of glioma biology, supporting clinical applications from grading and differential diagnosis to mapping the full extent of tumors and planning subsequent treatments and evaluations. With a broad array of specialized radiotracers, researchers and clinicians can now probe various biological characteristics of gliomas, such as glucose utilization, cellular proliferation, oxygen deficiency, amino acid trafficking, and reactive astrogliosis. This review aims to provide a recent update on the application of versatile PET/CT radiotracers in glioma research and clinical practice.
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.