ReviewContrast media & molecular imaging2017
Clinical Applications of Contrast-Enhanced Perfusion MRI Techniques in Gliomas: Recent Advances and Current Challenges.
Review in Contrast media & molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed.
- Role of CXCR4 PET Imaging for the Evaluation of Gliomas: A Comprehensive Literature Review.Cancers · 2026Review
- In Vivo Wide-Field Mapping of Microvascular Dynamics in Orthotopic GL261 Gliomas by Super-Resolution Ultrasound Imaging.Annals of biomedical engineering · 2026Article
- Integrating MRI radiomics and transcriptomics to predict IDH mutation status and prognosis in glioma.Cancer cell international · 2026Article
- Role of [18F]FMISO PET Imaging for the Evaluation of Gliomas: A Comprehensive Literature Review.Diagnostics (Basel, Switzerland) · 2026Review
- Three-Dimensional quantitative analysis of the Peri-Enhancing zone reveals ADC and CBV signatures of glioblastoma recurrence.NeuroImage. Clinical · 2026Article
- 3D-printable phantoms for quantitative dynamic contrast-enhanced MRI.Magnetic resonance in medicine · 2025Article
- Applications of Advanced Imaging for Radiotherapy Planning and Response Assessment in the Central Nervous System.Tomography (Ann Arbor, Mich.) · 2025Review
- "Synthetic" DSC Perfusion MRI with Adjustable Acquisition Parameters in Brain Tumors Using Dynamic Spin-and-Gradient-Echo Echoplanar Imaging.AJNR. American journal of neuroradiology · 2025Article
- Interstitial fluid transport dynamics predict glioblastoma invasion and progression.npj biomedical innovations · 2025Article
- Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Review
- An accessible deep learning tool for voxel-wise classification of brain malignancies from perfusion MRI.Cell reports. Medicine · 2024Article
- Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs.JMIR neurotechnology · 2024Article
- Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging.Frontiers in oncology · 2024Review
- Preoperative symptoms of depression, anxiety, and cognitive impairment in glioma patients: A cerebral perfusion CT study.Brain and behavior · 2023Article
- Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023Review
- Deep Learning of Time-Signal Intensity Curves from Dynamic Susceptibility Contrast Imaging Enables Tissue Labeling and Prediction of Survival in Glioblastoma.AJNR. American journal of neuroradiology · 2023Article
- Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data.The British journal of radiology · 2023Article
- Association of dynamic susceptibility contrast- and dynamic contrast-enhanced magnetic resonance imaging parameters with molecular marker status in lower-grade gliomas: A retrospective study.The neuroradiology journal · 2023Article
- Comparative study between dynamic susceptibility contrast magnetic resonance imaging and arterial spin labelling perfusion in differentiating low-grade from high-grade brain tumours.Polish journal of radiology · 2023Article
- Standardized brain tumor imaging protocols for clinical trials: current recommendations and tips for integration.Frontiers in radiology · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas possess complex and heterogeneous vasculatures with abnormal hemodynamics. Despite considerable advances in diagnostic and therapeutic techniques for improving tumor management and patient care in recent years, the prognosis of malignant gliomas remains dismal. Perfusion-weighted magnetic resonance imaging techniques that could noninvasively provide superior information on vascular functionality have attracted much attention for evaluating brain tumors. However, nonconsensus imaging protocols and postprocessing analysis among different institutions impede their integration into standard-of-care imaging in clinic. And there have been very few studies providing a comprehensive evidence-based and systematic summary. This review first outlines the status of glioma theranostics and tumor-associated vascular pathology and then presents an overview of the principles of dynamic contrast-enhanced MRI (DCE-MRI) and dynamic susceptibility contrast-MRI (DSC-MRI), with emphasis on their recent clinical applications in gliomas including tumor grading, identification of molecular characteristics, differentiation of glioma from other brain tumors, treatment response assessment, and predicting prognosis. Current challenges and future perspectives are also highlighted.
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