ReviewBiomedicines2023
Magnetic Resonance Imaging of Primary Adult Brain Tumors: State of the Art and Future Perspectives.
Review in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis 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
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.
- Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review.F1000Research · 2025Pooled it
- Artificial intelligence-amplified contrast enhancement in brain magnetic resonance imaging for improving image quality and lesion visualization: a prospective pilot study.Quantitative imaging in medicine and surgery · 2026Article
- The promising role of cathepsins as biomarkers and therapeutic targets in glioblastoma.Discover oncology · 2026Review
- Cryptogenic Perirolandic Brain Abscess in an Otherwise Healthy Young Man.Clinical case reports · 2026Article
- The Intraoperative Golden Hour in Minimally Invasive Parafascicular Surgery for Brain Tumors.Cancers · 2026Review
- Brain tumor detection on magnetic resonance imaging scans using the artificial intelligence-based You Only Look Once algorithm.The Journal of international medical research · 2026Article
- MoRE-Net: An Interpretable and Modality-robust Model for Brain Tumor Grading.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
- Central Nervous System Involvement in Acute Myeloid Leukemia: From Pathophysiology to Neuroradiologic Features and the Emerging Role of Artificial Intelligence.Journal of clinical medicine · 2026Review
- Review
- DARE-FUSE: domain aligned evidence guided learning for joint brain tumor MRI segmentation and classification.NPJ digital medicine · 2026Article
- Increased neural excitability and glioma synaptic activity drives glioma proliferation in human cortex.Nature neuroscience · 2026Article
- ASLNet: an explainable deep learning framework for glioma grading and survival prediction.Frontiers in oncology · 2026Article
- CMRA-DETR: a lightweight and high-accuracy detection framework for MRI-based brain tumor identification.Frontiers in medicine · 2026Article
- The evolution of chemotherapy in brain tumors: from historical milestones to precision medicine in glioblastoma.Exploration of targeted anti-tumor therapy · 2026Review
- Is 18F-PSMA PET/CT a reliable imaging modality to evaluate the status of recurrent/residual brain tumors in post-treatment patients?Journal of neuro-oncology · 2025Article
- Fine-tuned ResNet34 for efficient brain tumor classification.Scientific reports · 2025Article
- Reproducible meningioma grading across multi-center MRI protocols via hybrid radiomic and deep learning features.Neuroradiology · 2025Article
- LINE-1 hypomethylation in cell-free DNA of high-grade glioma patients correlates with tissue levels and is associated with reduced DNMT1 and H4K20me3 expression.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Article
- Brain Tumors, AI and Psychiatry: Predicting Tumor-Associated Psychiatric Syndromes with Machine Learning and Biomarkers.International journal of molecular sciences · 2025Review
- Advanced MRI, Radiomics and Radiogenomics in Unravelling Incidental Glioma Grading and Genetic Status: Where Are We?Medicina (Kaunas, Lithuania) · 2025Review
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
MRI is undoubtedly the cornerstone of brain tumor imaging, playing a key role in all phases of patient management, starting from diagnosis, through therapy planning, to treatment response and/or recurrence assessment. Currently, neuroimaging can describe morphologic and non-morphologic (functional, hemodynamic, metabolic, cellular, microstructural, and sometimes even genetic) characteristics of brain tumors, greatly contributing to diagnosis and follow-up. Knowing the technical aspects, strength and limits of each MR technique is crucial to correctly interpret MR brain studies and to address clinicians to the best treatment strategy. This article aimed to provide an overview of neuroimaging in the assessment of adult primary brain tumors. We started from the basilar role of conventional/morphological MR sequences, then analyzed, one by one, the non-morphological techniques, and finally highlighted future perspectives, such as radiomics and artificial intelligence.
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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.