ReviewBrain sciences2024
Clustering Functional Magnetic Resonance Imaging Time Series in Glioblastoma Characterization: A Review of the Evolution, Applications, and Potentials.
Review in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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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.
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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
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolic Imaging as Future Technology and Innovation in Brain-Tumour Surgery: A Systematic Review.Current oncology (Toronto, Ont.) · 2025Pooled it
- Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence.NPJ digital medicine · 2026Article
- Age-related changes in the parotid gland: a computed tomography-based radiomics study.Quantitative imaging in medicine and surgery · 2026Article
- The HALLMOUNT Score: Development of a Novel Multidimensional Prognostic Model for Solid Tumors, with Initial Clinical Application in Grade 4 Adult-Type Diffuse Gliomas.Medicina (Kaunas, Lithuania) · 2025Article
- Longitudinal Cerebral Structural, Microstructural, and Functional Alterations After Brain Tumor Surgery for Early Detection of Recurrent Tumors.Biomedicines · 2025Article
- CGF-Conditioned Medium Modulates Astrocytic Differentiation and Invasiveness in U87MG Glioblastoma Cells.Biology · 2025Article
- Fully Automated Segmentation of Cervical Spinal Cord in Sagittal MR Images Using Swin-Unet Architectures.Journal of clinical medicine · 2025Article
- Article
- Potential Biomarkers for IDH-Mutant and IDH-Wild-Type Glioblastomas: A Single-Center Retrospective Study.Journal of clinical medicine · 2025Article
- The Complexity of Malignant Glioma Treatment.Cancers · 2025Review
- Efficacy and safety of low-dose X-rays based intraoperative radiotherapy for high-grade gliomas: a single-center retrospective study.Frontiers in oncology · 2025Article
- Research Progress on Glioma Microenvironment and Invasiveness Utilizing Advanced Multi-Parametric Quantitative MRI.Cancers · 2024Review
- Involvement of the left uncinate fasciculus in the amyotrophic lateral sclerosis: an exploratory longitudinal multi-modal neuroimaging and neuropsychological study.Brain structure & function · 2024Article
- "Beyond the Knife"-Applying Theranostic Technologies to Enhance Outcomes in Neurosurgical Oncology.Brain sciences · 2024Review
- Genomic Profiling in Glioma Patients to Explore Clinically Relevant Markers.International journal of molecular sciences · 2024Article
- Progressive Quadriparesis of a Toddler with a Posterior Cranial Fossa Arachnoid Cyst (AC): Illustrative Case Report and Narrative Literature Review.Children (Basel, Switzerland) · 2024Article
- Efficient and Accurate Brain Tumor Classification Using Hybrid MobileNetV2-Support Vector Machine for Magnetic Resonance Imaging Diagnostics in Neoplasms.Brain sciences · 2024Article
- Risk of Postoperative Hemorrhage After Glioma Surgery in Patients with Preoperative Acetylsalicylic Acid.Cancers · 2024Article
- Head and Neck Squamous Cell Carcinoma: Insights from Dual-Energy Computed Tomography (DECT).Tomography (Ann Arbor, Mich.) · 2024Review
- A New Tool for Extracting Static and Dynamic Parameters from [Journal of clinical medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we discuss how the clustering analysis technique can be applied to analyze functional magnetic resonance imaging (fMRI) time-series data in the context of glioblastoma (GBM), a highly heterogeneous brain tumor. The precise characterization of GBM is challenging and requires advanced analytical approaches. We have synthesized the existing literature to provide an overview of how clustering algorithms can help identify unique patterns within the dynamics of GBM. Our review shows that the clustering of fMRI time series has great potential for improving the differentiation between various subtypes of GBM, which is pivotal for developing personalized therapeutic strategies. Moreover, this method proves to be effective in capturing temporal changes occurring in GBM, enhancing the monitoring of disease progression and response to treatment. By thoroughly examining and consolidating the current research, this paper contributes to the understanding of how clustering techniques applied to fMRI data can refine the characterization of GBM. This article emphasizes the importance of incorporating cutting-edge data analysis techniques into neuroimaging and neuro-oncology research. By providing a detailed perspective, this approach may guide future investigations and boost the development of tailored therapeutic strategies for GBM.
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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.