ArticleFrontiers in neuroscience2023
Multiple diffusion metrics in differentiating solid glioma from brain inflammation.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.
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10 citing papers in PubMed, 4 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- Clinical, Laboratory and Radiological Factors associated with posterior reversible encephalopathy syndrome (PRES) in patients with eclampsia or pre-eclampsia: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Pooled it
- Decoding Upper-Limb Motor Imagery from EEG Signals: A Systematic Review of Methods and Applications.Annals of biomedical engineering · 2026Pooled it
- Postoperative seizure, stroke, hemorrhage, and cerebral hyperperfusion syndrome rates in adult patients with moyamoya disease undergoing revascularization: a systematic review and proportional meta-analysis.Neurosurgical review · 2026Pooled it
- Brain connectivity changes associated with acute sleep deprivation: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Pooled it
- Assessing the synergistic effectiveness of intermittent theta burst stimulation and the vestibular ocular reflex rehabilitation protocol in the treatment of Mal de Debarquement Syndrome: a randomised controlled trial.Journal of neurology · 2024Trial
- Mercury-induced excitotoxicity in autism spectrum disorder: disruption of glutamatergic homeostasis and the therapeutic role of the selenium-glutathione axis.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Review
- Cluster habitat-based diffusion MRI radiomics for differentiation of glioblastoma from solitary brain metastasis.European radiology experimental · 2026Article
- Unlocking therapeutic potential in traumatic brain injury: exploring microenvironmental targets, signaling pathways and translational hurdles.Inflammopharmacology · 2025Review
- Predicting IDH and 1p/19q molecular status of gliomas with multi-b values DWI.Frontiers in oncology · 2025Article
- Histogram analysis based on DTI and NODDI for differentiating atypical high-grade glioma from primary central nervous system lymphoma.Frontiers in neurology · 2025Article
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Authors and funding
15 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: The differential diagnosis between solid glioma and brain inflammation is necessary but sometimes difficult. We assessed the effectiveness of multiple diffusion metrics of diffusion-weighted imaging (DWI) in differentiating solid glioma from brain inflammation and compared the diagnostic performance of different DWI models. Materials and methods: Participants diagnosed with either glioma or brain inflammation with a solid lesion on MRI were enrolled in this prospective study from May 2016 to April 2023. Diffusion-weighted imaging was performed using a spin-echo echo-planar imaging sequence with five b values (500, 1,000, 1,500, 2000, and 2,500 s/mm Results: 57 patients (39 patients with glioma and 18 patients with inflammation) were finally included. MAP model, with its metric non-Gaussianity (NG), shows the greatest diagnostic performance (AUC = 0.879) for differentiation of inflammation and glioma with atypical MRI manifestation. The AUC of DKI model, with its metric mean kurtosis (MK) are comparable to NG (AUC = 0.855), followed by NODDI model with intracellular volume fraction (ICVF) (AUC = 0.825). The lowest value was obtained in DTI with mean diffusivity (MD) (AUC = 0.758). Conclusion: Multiple diffusion metrics can be used in differentiation of inflammation and solid glioma. Non-Gaussianity (NG) from mean apparent propagator (MAP) model shows the greatest diagnostic performance for differentiation of inflammation and glioma.
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