ReviewNMR in biomedicine2011
Assessment of therapeutic response and treatment planning for brain tumors using metabolic and physiological MRI.
Review in NMR in biomedicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 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.
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Who cites it
52 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Differentiating Radiation-Induced Necrosis from Recurrent Brain Tumor Using MR Perfusion and Spectroscopy: A Meta-Analysis.PloS one · 2016Pooled it
- Evaluation of dynamic contrast-enhanced T1-weighted perfusion MRI in the differentiation of tumor recurrence from radiation necrosis.Neuroradiology · 2013Trial
- Agreement and reproducibility of quantitative values depend on acquisition parameters in magnetic resonance fingerprinting.Radiological physics and technology · 2026Article
- Radiation Effects on Normal Brain in Subjects With Recurrent Glioblastoma by Spectroscopic MRI.NMR in biomedicine · 2026Article
- Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging.Nature biomedical engineering · 2025Article
- Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI.NPJ digital medicine · 2025Article
- Implantable theranostic device for in vivo real-time NMR evaluation of drug impact in brain tumors.Scientific reports · 2024Article
- Imaging Role in Diagnosis, Prognosis, and Treatment Response Prediction Associated with High-grade Glioma.Journal of medical signals and sensors · 2024Review
- Diffusion MRI as an early marker of response to immune checkpoint inhibitors.Neuro-oncology · 2020Article
- Anti-PD-1 Immunotherapy in Preclinical GL261 Glioblastoma: Influence of Therapeutic Parameters and Non-Invasive Response Biomarker Assessment with MRSI-Based Approaches.International journal of molecular sciences · 2020Article
- Glutamate Is a Noninvasive Metabolic Biomarker of IDH1-Mutant Glioma Response to Temozolomide Treatment.Cancer research · 2020Article
- Article
- Evaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade Gliomas.AJNR. American journal of neuroradiology · 2019Article
- A comparison of coil combination strategies in 3D multi-channel MRSI reconstruction for patients with brain tumors.NMR in biomedicine · 2018Article
- A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy.Scientific reports · 2018Article
- Simultaneous QSM and metabolic imaging of the brain using SPICE.Magnetic resonance in medicine · 2018Article
- Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI.Radiation research · 2017Article
- Diagnostic accuracy of proton magnetic resonance spectroscopy and perfusion-weighted imaging in brain gliomas follow-up: a single institutional experience.The neuroradiology journal · 2017Article
- Metabolomics of Therapy Response in Preclinical Glioblastoma: A Multi-Slice MRSI-Based Volumetric Analysis for Noninvasive Assessment of Temozolomide Treatment.Metabolites · 2017Article
- Quantitative T1-mapping detects cloudy-enhancing tumor compartments predicting outcome of patients with glioblastoma.Cancer medicine · 2017Observational
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
MRI is routinely used for diagnosis, treatment planning and assessment of response to therapy for patients with glioma. Gliomas are spatially heterogeneous and infiltrative lesions that are quite variable in terms of their response to therapy. Patients classified as having low-grade histology have a median overall survival of 7 years or more, but need to be monitored carefully to make sure that their tumor does not upgrade to a more malignant phenotype. Patients with the most aggressive grade IV histology have a median overall survival of 12-15 months and often undergo multiple surgeries and adjuvant therapies in an attempt to control their disease. Despite improvements in the spatial resolution and sensitivity of anatomic images, there remain considerable ambiguities in the interpretation of changes in the size of the gadolinium-enhancing lesion on T(1) -weighted images as a measure of treatment response, and in differentiating between treatment effects and infiltrating tumor within the larger T(2) lesion. The planning of focal therapies, such as surgery, radiation and targeted drug delivery, as well as a more reliable assessment of the response to therapy, would benefit considerably from the integration of metabolic and physiological imaging techniques into routine clinical MR examinations. Advanced methods that have been shown to provide valuable data for patients with glioma are diffusion, perfusion and spectroscopic imaging. Multiparametric examinations that include the acquisition of such data are able to assess tumor cellularity, hypoxia, disruption of normal tissue architecture, changes in vascular density and vessel permeability, in addition to the standard measures of changes in the volume of enhancing and nonenhancing anatomic lesions. This is particularly critical for the interpretation of the results of Phase I and Phase II clinical trials of novel therapies, which are increasingly including agents that are designed to have anti-angiogenic and anti-proliferative properties as opposed to having a direct effect on tumor cell viability.
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Registered trials
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