ReviewBrain tumor research and treatment2015
Modern brain tumor imaging.
Review in Brain tumor research and treatment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 3 of them syntheses that pooled it.
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
92 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review.F1000Research · 2025Pooled it
- Circulating MicroRNAs as Promising Diagnostic Biomarkers for Patients With Glioma: A Meta-Analysis.Frontiers in neurology · 2020Pooled it
- MR perfusion-weighted imaging in the evaluation of high-grade gliomas after treatment: a systematic review and meta-analysis.Neuro-oncology · 2017Pooled it
- Molecular features unique to circulating tumor DNA enable the tumor-naïve liquid biopsy of glioblastoma.NPJ precision oncology · 2026Article
- Enhanced Brain Tumor Classification with Convolutional Neural Networks.Advances in experimental medicine and biology · 2026Article
- The efficacy of minimally invasive intraoperative ultrasound in endoscopic pituitary surgery.Pituitary · 2025Article
- Emerging Frontiers in Neuro-Oncology: Insights into Extracellular Vesicle-Driven Tumor Mechanisms and Nanotherapeutic Strategies.International journal of molecular sciences · 2025Review
- Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based Modeling.International journal of radiation oncology, biology, physics · 2025Article
- EGFR Amplification in Diffuse Glioma and Its Correlation to Language Tract Integrity.Diagnostics (Basel, Switzerland) · 2025Article
- From Detection to Diagnosis: An Advanced Transfer Learning Pipeline Using YOLO11 with Morphological Post-Processing for Brain Tumor Analysis for MRI Images.Journal of imaging · 2025Article
- Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis.Scientific reports · 2025Article
- Natural compounds as regulators of miRNAs: exploring a new avenue for treating brain cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Glioblastoma at the crossroads: current understanding and future therapeutic horizons.Signal transduction and targeted therapy · 2025Review
- Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology.ArXiv · 2025Article
- Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Article
- Reducing clinical target volume margins for multifocal glioblastoma: a multi-institutional analysis of patterns of recurrence and treatment response.Radiation oncology journal · 2025Article
- Dilated SE-DenseNet for brain tumor MRI classification.Scientific reports · 2025Article
- Improved brain tumor diagnostics and follow-up with novel magnetic resonance imaging methods: A single center study protocol.PloS one · 2025Article
- Challenges and Advances in Classifying Brain Tumors: An Overview of Machine, Deep Learning, and Hybrid Approaches with Future Perspectives in Medical Imaging.Current medical imaging · 2025Review
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The imaging and clinical management of patients with brain tumor continue to evolve over time and now heavily rely on physiologic imaging in addition to high-resolution structural imaging. Imaging remains a powerful noninvasive tool to positively impact the management of patients with brain tumor. This article provides an overview of the current state-of-the art clinical brain tumor imaging. In this review, we discuss general magnetic resonance (MR) imaging methods and their application to the diagnosis of, treatment planning and navigation, and disease monitoring in patients with brain tumor. We review the strengths, limitations, and pitfalls of structural imaging, diffusion-weighted imaging techniques, MR spectroscopy, perfusion imaging, positron emission tomography/MR, and functional imaging. Overall this review provides a basis for understudying the role of modern imaging in the care of brain tumor patients.
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.