ArticleScientific reports2016
Multiparametric MRI-based differentiation of WHO grade II/III glioma and WHO grade IV glioblastoma.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.
- Congress of neurological surgeons systematic review and evidence-based guidelines update on the role of emerging developments in the management of newly diagnosed glioblastoma.Journal of neuro-oncology · 2020Pooled it
- Advances in hypoxia-modulated blood oxygen level-dependent MRI: a narrative review of physiological principles and applications for glioblastoma imaging.Magma (New York, N.Y.) · 2026Review
- BOLD signal changes can oppose oxygen metabolism across the human cortex.Nature neuroscience · 2026Article
- Brain metabolic-functional (de)coupling from health to glioma dysfunction.Communications biology · 2025Article
- Expression of MCCC2 in glioma cells and preliminary verification of poor prognosis.Biomarkers in medicine · 2025Article
- Clinicopathological Parameters and Immunohistochemical Profiles in Correlation with MRI Characteristics in Glioblastomas.International journal of molecular sciences · 2024Article
- Validation of a new 3D quantitative BOLD based cerebral oxygen extraction mapping.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Advanced magnetic resonance imaging for glioblastoma: Oncology-radiology integration.Surgical neurology international · 2024Article
- Artificial Intelligence in Brain Tumor Imaging: A Step toward Personalized Medicine.Current oncology (Toronto, Ont.) · 2023Review
- Multiparametric Characterization of Intracranial Gliomas Using Dynamic [18F]FET-PET and Magnetic Resonance Spectroscopy.Diagnostics (Basel, Switzerland) · 2022Article
- Cerebral oxygen extraction fraction MRI: Techniques and applications.Magnetic resonance in medicine · 2022Review
- Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data.Cancers · 2022Article
- Review of the Research Progress of Human Brain Oxygen Extraction Fraction by Magnetic Resonance Imaging.Oxidative medicine and cellular longevity · 2022Review
- Fully automated analysis combining [European journal of nuclear medicine and molecular imaging · 2021Article
- Hemodynamic impairments within individual watershed areas in asymptomatic carotid artery stenosis by multimodal MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Crossed Cerebellar Diaschisis in Patients with Diffuse Glioma Is Associated with Impaired Supratentorial Cerebrovascular Reactivity and Worse Clinical Outcome.Cerebellum (London, England) · 2020Article
- Oxygen extraction fraction mapping with multi-parametric quantitative BOLD MRI: Reduced transverse relaxation bias using 3D-GraSE imaging.NeuroImage · 2020Article
- Imaging glioma biology: spatial comparison of amino acid PET, amide proton transfer, and perfusion-weighted MRI in newly diagnosed gliomas.European journal of nuclear medicine and molecular imaging · 2020Article
- Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Article
- Radiogenomics predicts the expression of microRNA-1246 in the serum of esophageal cancer patients.Scientific reports · 2020Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-invasive, imaging-based examination of glioma biology has received increasing attention in the past couple of years. To this end, the development and refinement of novel MRI techniques, reflecting underlying oncogenic processes such as hypoxia or angiogenesis, has greatly benefitted this research area. We have recently established a novel BOLD (blood oxygenation level dependent) based MRI method for the measurement of relative oxygen extraction fraction (rOEF) in glioma patients. In a set of 37 patients with newly diagnosed glioma, we assessed the performance of a machine learning model based on multiple MRI modalities including rOEF and perfusion imaging to predict WHO grade. An oblique random forest machine learning classifier using the entire feature vector as input yielded a five-fold cross-validated area under the curve of 0.944, with 34/37 patients correctly classified (accuracy 91.8%). The most important features in this classifier as per bootstrapped feature importance scores consisted of standard deviation of T1-weighted contrast enhanced signal, maximum rOEF value and cerebral blood volume (CBV) standard deviation. This study suggests that multimodal MRI information reflects underlying tumor biology, which is non-invasively detectable through integrative data analysis, and thus highlights the potential of such integrative approaches in the field of radiogenomics.
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