ArticleBMC medical imaging2020
Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models.
Article in BMC medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Differentiation of high grade glioma and solitary brain metastases by measuring relative cerebral blood volume and fractional anisotropy: a systematic review and meta-analysis of MRI diagnostic test accuracy studies.The British journal of radiology · 2023Pooled it
- Biophysical Diffusion MRI Models Better Identify White Matter Tracts in Edema.Tomography (Ann Arbor, Mich.) · 2026Article
- Neurite orientation dispersion and density imaging identifies microstructural alterations in patients with cerebral microbleeds and correlations with cognitive impairment.BMC neurology · 2026Observational
- Cluster habitat-based diffusion MRI radiomics for differentiation of glioblastoma from solitary brain metastasis.European radiology experimental · 2026Article
- Comparative evaluation of diffusion models for detecting gray matter microstructural alterations in post-stroke depression patients.Frontiers in neurology · 2026Article
- Non-invasive identification of mesenchymal glioblastoma using quantitative radiomic features from advanced diffusion MRI: a preclinical-to-clinical transfer learning strategy.European radiology experimental · 2025Article
- White matter characterization in regions of edema surrounding meningioma brain tumor using diffusion MRI.medRxiv : the preprint server for health sciences · 2025Article
- Utilizing Diffusion Tensor Imaging to Differentiate High-Grade Gliomas and Solitary Brain Metastases.Asian journal of neurosurgery · 2025Article
- Detecting glioblastoma infiltration beyond conventional imaging tumour margins using MTE-NODDI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- High-performance presurgical differentiation of glioblastoma and metastasis by means of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics.European radiology · 2024Article
- Advanced diffusion MRI provides evidence for altered axonal microstructure and gradual peritumoral infiltration in GBM in comparison to brain metastases.Clinical neuroradiology · 2024Article
- Differentiation of glioma and solitary brain metastasis: a multi-parameter magnetic resonance imaging study using histogram analysis.BMC cancer · 2024Article
- Mean Apparent Propagator MRI: Quantitative Assessment of Tumor-Stroma Ratio in Invasive Ductal Breast Carcinoma.Radiology. Imaging cancer · 2024Article
- Discrimination between human epidermal growth factor receptor 2 (HER2)-low-expressing and HER2-overexpressing breast cancers: a comparative study of four MRI diffusion models.European radiology · 2024Article
- Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade.Frontiers in oncology · 2024Article
- Differentiation between high-grade gliomas and solitary brain metastases based on multidiffusion MRI model quantitative analysis.Frontiers in oncology · 2024Article
- Radiomic texture analysis based on neurite orientation dispersion and density imaging to differentiate glioblastoma from solitary brain metastasis.BMC cancer · 2023Article
- Mesoscopic Assessment of Microstructure in Glioblastomas and Metastases by Merging Advanced Diffusion Imaging with Immunohistopathology.AJNR. American journal of neuroradiology · 2023Article
- Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm.Journal of digital imaging · 2023Article
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10 authors.
Funding
Abstract
backgroundTo compare the diagnostic performance of neurite orientation dispersion and density imaging (NODDI), mean apparent propagator magnetic resonance imaging (MAP-MRI), diffusion kurtosis imaging (DKI), diffusion tensor imaging (DTI) and diffusion-weighted imaging (DWI) in distinguishing high-grade gliomas (HGGs) from solitary brain metastases (SBMs).
methodsPatients with previously untreated, histopathologically confirmed HGGs (n = 20) or SBMs (n = 21) appearing as a solitary and contrast-enhancing lesion on structural MRI were prospectively recruited to undergo diffusion-weighted MRI. DWI data were obtained using a q-space Cartesian grid sampling procedure and were processed to generate parametric maps by fitting the NODDI, MAP-MRI, DKI, DTI and DWI models. The diffusion metrics of the contrast-enhancing tumor and peritumoral edema were measured. Differences in the diffusion metrics were compared between HGGs and SBMs, followed by receiver operating characteristic (ROC) analysis and the Hanley and McNeill test to determine their diagnostic performances.
resultsNODDI-based isotropic volume fraction (V
conclusionNODDI outperforms MAP-MRI, DKI, DTI and DWI in differentiating between HGGs and SBMs. NODDI-based V
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