ArticleJournal of magnetic resonance imaging : JMRI2016
Multimodal MRI can identify perfusion and metabolic changes in the invasive margin of glioblastomas.
Article in Journal of magnetic resonance imaging : JMRI, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 57 citations in OpenAlex.
- The STEMRI trial: Magnetic resonance spectroscopy imaging can define tumor areas enriched in glioblastoma stem-like cells.Science advances · 2023Trial
- Magnetic resonance imaging-guided linear accelerator arterial spin labelling reveals dynamics of highly perfused non-enhancing glioblastoma during radiotherapy.Physics and imaging in radiation oncology · 2025Article
- Synthetic MRI derived relaxometry parameters: a new insight into characterization of ring enhancing lesions of brain.Neuroradiology · 2025Article
- Utilizing Radiomics of Peri-Lesional Edema in T2-FLAIR Subtraction Digital Images to Distinguish High-Grade Glial Tumors From Brain Metastasis.Journal of magnetic resonance imaging : JMRI · 2025Article
- Malignant Cells Beyond the Tumor Core: The Non-Negligible Factor to Overcome the Refractory of Glioblastoma.CNS neuroscience & therapeutics · 2025Review
- Synthetic magnetic resonance-based relaxometry in differentiating central nervous system tuberculoma and glioblastoma.Polish journal of radiology · 2025Article
- 1H-MRS parameters in non-enhancing peritumoral regions can predict the recurrence of glioblastoma.Scientific reports · 2024Article
- The potential of advanced MR techniques for precision radiotherapy of glioblastoma.Magma (New York, N.Y.) · 2022Review
- Precision Neurosurgery: A Path Forward.Journal of personalized medicine · 2021Review
- Conventional and advanced imaging throughout the cycle of care of gliomas.Neurosurgical review · 2021Review
- Radiomics and radiogenomics in gliomas: a contemporary update.British journal of cancer · 2021Review
- Diagnosis and Management of Glioblastoma: A Comprehensive Perspective.Journal of personalized medicine · 2021Review
- Differentiating High-Grade Gliomas from Brain Metastases at Magnetic Resonance: The Role of Texture Analysis of the Peritumoral Zone.Brain sciences · 2020Article
- Molecular and Cellular Complexity of Glioma. Focus on Tumour Microenvironment and the Use of Molecular and Imaging Biomarkers to Overcome Treatment Resistance.International journal of molecular sciences · 2020Review
- Multi-scale segmentation in GBM treatment using diffusion tensor imaging.Computers in biology and medicine · 2020Article
- A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics.Scientific reports · 2020Article
- Improving Delineation of True Tumor Volume With Multimodal MRI in a Rat Model of Brain Metastasis.International journal of radiation oncology, biology, physics · 2020Article
- Semi-automated construction of patient individualised clinical target volumes for radiotherapy treatment of glioblastoma utilising diffusion tensor decomposition maps.The British journal of radiology · 2020Article
- Higher vascularity at infiltrated peripheral edema differentiates proneural glioblastoma subtype.PloS one · 2020Article
- Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma.European radiology · 2019Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo use perfusion and magnetic resonance (MR) spectroscopy to compare the diffusion tensor imaging (DTI)-defined invasive and noninvasive regions. Invasion of normal brain is a cardinal feature of glioblastomas (GBM) and a major cause of treatment failure. DTI can identify invasive regions. MATERIALS AND
methodsIn all, 50 GBM patients were imaged preoperatively at 3T with anatomic sequences, DTI, dynamic susceptibility perfusion MR (DSCI), and multivoxel spectroscopy. The DTI and DSCI data were coregistered to the spectroscopy data and regions of interest (ROIs) were made in the invasive (determined by DTI), noninvasive regions, and normal brain. Values of relative cerebral blood volume (rCBV), N-acetyl aspartate (NAA), myoinositol (mI), total choline (Cho), and glutamate + glutamine (Glx) normalized to creatine (Cr) and Cho/NAA were measured at each ROI.
resultsInvasive regions showed significant increases in rCBV, suggesting angiogenesis (invasive rCBV 1.64 [95% confidence interval, CI: 1.5-1.76] vs. noninvasive 1.14 [1.09-1.18]; P < 0.001), Cho/Cr (invasive 0.42 [0.38-0.46] vs. noninvasive 0.35 [0.31-0.38]; P = 0.02) and Cho/NAA (invasive 0.54 [0.41-0.68] vs. noninvasive 0.37 [0.29-0.45]; P = < 0.03), suggesting proliferation, and Glx/Cr (invasive 1.54 [1.27-1.82] vs. noninvasive 1.3 [1.13-1.47]; P = 0.028), suggesting glutamate release; and a significantly reduced NAA/Cr (invasive 0.95 [0.85-1.05] vs. noninvasive 1.19 [1.06-1.31]; P = 0.008). The mI/Cr was not different between the three ROIs (invasive 1.2 [0.99-1.41] vs. noninvasive 1.3 [1.14-1.46]; P = 0.68). In the noninvasive regions, the values were not different from normal brain.
conclusionCombining DTI to identify the invasive region with perfusion and spectroscopy, we can identify changes in invasive regions not seen in noninvasive regions.
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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.