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Artificial Neural Network-Derived Cerebral Metabolic Rate of Oxygen for Differentiating Glioblastoma and Brain Metastasis in MRI: A Feasibility Study

https://doi.org/10.3390/app11219928

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis

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Recommended implementation of arterial spin‐labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia

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Cerebral metabolic rate of oxygen (CMRO2) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level‐dependent imaging (qBOLD)

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Comparison of gradient echo and gradient echo sampling of spin echo sequence for the quantification of the oxygen extraction fraction from a combined quantitative susceptibility mapping and quantitative BOLD (QSM+qBOLD) approach

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Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD

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Cluster analysis of time evolution (CAT) for quantitative susceptibility mapping (QSM) and quantitative blood oxygen level‐dependent magnitude (qBOLD)‐based oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2) mapping

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Quantification of brain oxygen extraction fraction using QSM and a hyperoxic challenge

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Characterizing hypoxia in human glioma: A simultaneous multimodal MRI and PET study

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Support-Vector Networks

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Differentiation of solitary brain metastasis from glioblastoma multiforme: a predictive multiparametric approach using combined MR diffusion and perfusion

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Intra-operative characterization of gliomas by near-infrared spectroscopy: possible association with prognosis

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Elevated peritumoural rCBV values as a mean to differentiate metastases from high-grade gliomas

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Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data

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Brain metastases: epidemiology

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Mechanisms of Glioma-Associated Neovascularization

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Surgical outcome and molecular pattern characterization of recurrent glioblastoma multiforme: A single-center retrospective series

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Potential role of advanced MRI techniques for the peritumoural region in differentiating glioblastoma multiforme and solitary metastatic lesions

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Cerebral peritumoral oedema study: Does a single dynamic MR sequence assessing perfusion and permeability can help to differentiate glioblastoma from metastasis?

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Supratotal resection of diffuse gliomas – an overview of its multifaceted implications

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Differentiation between glioblastomas and brain metastases and regarding their primary site of malignancy using dynamic susceptibility contrast MRI at 3T

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Complications Following Stereotactic Needle Biopsy of Intracranial Tumors

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Dependence of the frequency distribution around a sphere on the voxel orientation

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Cerebral Metastases as First Symptom of Cancer: a Clinico-pathologic Study

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Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data

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Radiotherapy Plus Concomitant and Adjuvant Temozolomide for Glioblastoma

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Malignant Gliomas in Adults

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Hallmarks of glioblastoma: a systematic review

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MR Imaging–derived Oxygen Metabolism and Neovascularization Characterization for Grading and IDH Gene Mutation Detection of Gliomas

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Noninvasive Characterization of Tumor Angiogenesis and Oxygenation in Bevacizumab-treated Recurrent Glioblastoma by Using Dynamic Susceptibility MRI: Secondary Analysis of the European Organization for Research and Treatment of Cancer 26101 Trial

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Patterns of Contrast Enhancement in the Brain and Meninges

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Assessment of tumor oxygenation and its impact on treatment response in bevacizumab-treated recurrent glioblastoma

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Physiologic MR imaging of the tumor microenvironment revealed switching of metabolic phenotype upon recurrence of glioblastoma in humans

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Image Quality of 3rd Generation Spiral Cranial Dual-Source CT in Combination with an Advanced Model Iterative Reconstruction Technique: A Prospective Intra-Individual Comparison Study to Standard Sequential Cranial CT Using Identical Radiation Dose

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Differentiation of Glioblastoma from Brain Metastasis: Qualitative and Quantitative Analysis Using Arterial Spin Labeling MR Imaging

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Machine learning for semiautomated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging

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Diagnostic Value of Peritumoral Minimum Apparent Diffusion Coefficient for Differentiation of Glioblastoma Multiforme From Solitary Metastatic Lesions

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Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging

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Imaging of brain metastases

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4190247openalex-extracted

The Clinical Applications of Oxygen Extraction Fraction (OEF) Metrics: A Systematic Review

inferred← citeshttps://doi.org/10.1002/mrm.30165openalex-snapshot

Quantitative BOLD ( qBOLD ) imaging of oxygen metabolism and blood oxygenation in the human body: A scoping review

inferred← citeshttps://doi.org/10.1007/s10072-024-07362-6openalex-snapshot

Oxygen extraction fraction (OEF) values and applications in neurological diseases

inferred← citeshttps://doi.org/10.1016/j.asoc.2026.114861openalex-snapshot

Synergistic hierarchical and graph attention networks for robust leptomeningeal metastasis detection in brain MRI

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Arterial Spin Labeling and Amide Proton Transfer Imaging can Differentiate Glioblastoma from Brain Metastasis: A Systematic Review and Meta-Analysis

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Artificial Intelligence Applied to Medical Imaging and Computational Biology

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Artificial Intelligence in the Diagnosis and Treatment of Brain Gliomas

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H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner

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Contrast Enhancement Is Associated with a Higher DSC MRI-Derived Cerebral Metabolic Rate of Oxygen Index in Untreated Glioblastoma

inferred← citeshttps://doi.org/10.3390/metabo12121264openalex-snapshot

Differentiation of Glioblastoma and Brain Metastases by MRI-Based Oxygen Metabolomic Radiomics and Deep Learning

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