ReviewFrontiers in neuroscience2022
Advanced Imaging Techniques for Newly Diagnosed and Recurrent Gliomas.
Review in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review and epistemic meta-analysis to advance binomial AI-radiomics integration for predicting high-grade glioma progression and enhancing patient management.Scientific reports · 2025Pooled it
- Clinical Applications of Hyperpolarized Magnetic Resonance Imaging in Brain Tumors: Current Evidence and Future Opportunities.Cancers · 2026Review
- Lightweight Transfer Learning Models for Multi-Class Brain Tumor Classification: Glioma, Meningioma, Pituitary Tumors, and No Tumor MRI Screening.Journal of imaging informatics in medicine · 2026Article
- Emerging In Vivo Imaging Modalities for Improved Glioblastoma Surgery and Monitoring.Biomedicines · 2026Review
- Biological tumor volume predicts survival in recurrent High-Grade glioma: A multiparametric [European journal of nuclear medicine and molecular imaging · 2026Article
- Radiomics and comparative neuroimaging of canine gliomas and human glioblastomas: a step toward precision medicine.Frontiers in veterinary science · 2026Article
- Enhanced glioma semantic segmentation using U-net and pre-trained backbone U-net architectures.Scientific reports · 2025Article
- Fn14-Targeted Gold Nanorods for Augmenting Laser Thermal Therapy for High-Grade Gliomas.Langmuir : the ACS journal of surfaces and colloids · 2025Article
- A multiparametric perspective on C6 and F98 cell lines in orthotopic rat models for glioblastoma research.Scientific reports · 2025Article
- Applications of Advanced Imaging for Radiotherapy Planning and Response Assessment in the Central Nervous System.Tomography (Ann Arbor, Mich.) · 2025Review
- Advancements in nanotheranostics for glioma therapy.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Cerebrovascular Reactivity Mapping in Brain Tumors Based on a Breath-Hold Task Using Arterial Spin Labeling.NMR in biomedicine · 2025Article
- Quality Assessment of MRI-Radiomics-Based Machine Learning Methods in Classification of Brain Tumors: Systematic Review.Diagnostics (Basel, Switzerland) · 2024Review
- The Role of ArtificiaI Intelligence in Brain Tumor Diagnosis: An Evaluation of a Machine Learning Model.Cureus · 2024Article
- Review
- Imaging Role in Diagnosis, Prognosis, and Treatment Response Prediction Associated with High-grade Glioma.Journal of medical signals and sensors · 2024Review
- Review
- Pseudoprogression versus true progression in glioblastoma: what neurosurgeons need to know.Journal of neurosurgery · 2023Review
- Reconstruction of the Corticospinal Tract in Patients with Motor-Eloquent High-Grade Gliomas Using Multilevel Fiber Tractography Combined with Functional Motor Cortex Mapping.AJNR. American journal of neuroradiology · 2023Article
- The Role of Molecular Imaging in Personalized Medicine.Journal of personalized medicine · 2023Review
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
No grant is acknowledged in the PubMed record.
Abstract
Management of gliomas following initial diagnosis requires thoughtful presurgical planning followed by regular imaging to monitor treatment response and survey for new tumor growth. Traditional MR imaging modalities such as T1 post-contrast and T2-weighted sequences have long been a staple of tumor diagnosis, surgical planning, and post-treatment surveillance. While these sequences remain integral in the management of gliomas, advances in imaging techniques have allowed for a more detailed characterization of tumor characteristics. Advanced MR sequences such as perfusion, diffusion, and susceptibility weighted imaging, as well as PET scans have emerged as valuable tools to inform clinical decision making and provide a non-invasive way to help distinguish between tumor recurrence and pseudoprogression. Furthermore, these advances in imaging have extended to the operating room and assist in making surgical resections safer. Nevertheless, surgery, chemotherapy, and radiation treatment continue to make the interpretation of MR changes difficult for glioma patients. As analytics and machine learning techniques improve, radiomics offers the potential to be more quantitative and personalized in the interpretation of imaging data for gliomas. In this review, we describe the role of these newer imaging modalities during the different stages of management for patients with gliomas, focusing on the pre-operative, post-operative, and surveillance periods. Finally, we discuss radiomics as a means of promoting personalized patient care in the future.
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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.