ArticleEuropean radiology2021
Glioma grading, molecular feature classification, and microstructural characterization using MR diffusional variance decomposition (DIVIDE) imaging.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Analysis of cortical dysplasias using b-tensor encoding diffusion MRI in an animal model.PloS one · 2026Article
- Added prognostic value of histogram features from preoperative multi-modal diffusion MRI in predicting Ki-67 proliferation for adult-type diffuse gliomas.Quantitative imaging in medicine and surgery · 2025Article
- Spectral principal axis system (SPAS) and tuning of tensor-valued encoding for microscopic anisotropy and time-dependent diffusion in the rat brain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The diagnostic efficiency of integration of 2HG MRS and IVIM versus individual parameters for predicting IDH mutation status in gliomas in clinical scenarios: A retrospective study.Journal of neuro-oncology · 2024Article
- Article
- Quantitative analysis using intraoperative contrast-enhanced ultrasound in adult-type diffuse gliomas with isocitrate dehydrogenase mutations: association between hemodynamics and molecular features.Ultrasonography (Seoul, Korea) · 2023Article
- Recapitulating the Key Advances in the Diagnosis and Prognosis of High-Grade Gliomas: Second Half of 2021 Update.International journal of molecular sciences · 2023Review
- Optimal experimental design and estimation for q-space trajectory imaging.Human brain mapping · 2023Article
- An initial study on the predictive value using multiple MRI characteristics for Ki-67 labeling index in glioma.Journal of translational medicine · 2023Article
- MR Fingerprinting with b-Tensor Encoding for Simultaneous Quantification of Relaxation and Diffusion in a Single Scan.Magnetic resonance in medicine · 2022Article
- Clinical experience of tensor-valued diffusion encoding for microstructure imaging by diffusional variance decomposition in patients with breast cancer.Quantitative imaging in medicine and surgery · 2022Article
- Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
objectiveTo evaluate the potential of diffusional variance decomposition (DIVIDE) for grading, molecular feature classification, and microstructural characterization of gliomas. MATERIALS AND
methodsParticipants with suspected gliomas underwent DIVIDE imaging, yielding parameter maps of fractional anisotropy (FA), mean diffusivity (MD), anisotropic mean kurtosis (MK
resultsFA, MD, MK
conclusionDIVIDE is a promising technique for glioma characterization and diagnosis. KEY POINTS: • DIVIDE metrics MK
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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.