ArticleRadiology and oncology2017
Diffusion Kurtosis Imaging of Gliomas Grades II and III - A Study of Perilesional Tumor Infiltration, Tumor Grades and Subtypes at Clinical Presentation.
Article in Radiology and oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The diagnostic value of quantitative analysis of ASL, DSC-MRI and DKI in the grading of cerebral gliomas: a meta-analysis.Radiation oncology (London, England) · 2020Pooled it
- Pooled it
- Individual Brain Tumor Invasion Mapping Based on Diffusion Kurtosis Imaging.Sovremennye tekhnologii v meditsine · 2025Article
- A comparative study of diffusion kurtosis imaging and diffusion tensor imaging in detecting corticospinal tract impairment in diffuse glioma patients.Neuroradiology · 2024Article
- Enhancing Diagnostic Precision: Evaluation of Preprocessing Filters in Simple Diffusion Kurtosis Imaging for Head and Neck Tumors.Journal of clinical medicine · 2024Article
- Article
- Mapping early tumor response to radiotherapy using diffusion kurtosis imaging*.The neuroradiology journal · 2023Article
- Challenges and opportunities for advanced neuroimaging of glioblastoma.The British journal of radiology · 2023Review
- Two Patterns of White Matter Connection in Multiple Gliomas: Evidence from Probabilistic Fiber Tracking.Journal of clinical medicine · 2022Article
- Machine Learning Based on Diffusion Kurtosis Imaging Histogram Parameters for Glioma Grading.Journal of clinical medicine · 2022Article
- The Concept of «Peritumoral Zone» in Diffuse Low-Grade Gliomas: Oncological and Functional Implications for a Connectome-Guided Therapeutic Attitude.Brain sciences · 2022Review
- Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy.Journal of healthcare engineering · 2022Article
- Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding.Frontiers in neuroscience · 2022Article
- Sensitivity of Diffusion MRI to White Matter Pathology: Influence of Diffusion Protocol, Magnetic Field Strength, and Processing Pipeline in Systemic Lupus Erythematosus.Frontiers in neurology · 2022Article
- Magnetic resonance imaging-radiomics evaluation of response to chemotherapy for synchronous liver metastasis of colorectal cancer.World journal of gastroenterology · 2021Article
- Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging.Journal of clinical medicine · 2021Article
- Diffusion Kurtosis Imaging Fiber Tractography of Major White Matter Tracts in Neurosurgery.Brain sciences · 2021Article
- GliMR: Cross-Border Collaborations to Promote Advanced MRI Biomarkers for Glioma.Journal of medical and biological engineering · 2021Review
- Development of a novel phantom using polyethylene glycol for the visualization of restricted diffusion in diffusion kurtosis imaging and apparent diffusion coefficient subtraction method.Biomedical reports · 2020Article
- Tensor-valued diffusion MRI in under 3 minutes: an initial survey of microscopic anisotropy and tissue heterogeneity in intracranial tumors.Magnetic resonance in medicine · 2020Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiffusion kurtosis imaging (DKI) allows for assessment of diffusion influenced by microcellular structures. We analyzed DKI in suspected low-grade gliomas prior to histopathological diagnosis. The aim was to investigate if diffusion parameters in the perilesional normal-appearing white matter (NAWM) differed from contralesional white matter, and to investigate differences between glioma malignancy grades II and III and glioma subtypes (astrocytomas and oligodendrogliomas). PATIENTS AND
methodsForty-eight patients with suspected low-grade glioma were prospectively recruited to this institutional review board-approved study and investigated with preoperative DKI at 3T after written informed consent. Patients with histologically proven glioma grades II or III were further analyzed (n=35). Regions of interest (ROIs) were delineated on T2FLAIR images and co-registered to diffusion MRI parameter maps. Mean DKI data were compared between perilesional and contralesional NAWM (student's
resultsThere were significant differences in all mean DKI variables between perilesional and contralesional NAWM (
conclusionsMean DKI variables in perilesional NAWM differ significantly from contralesional NAWM, suggesting altered microstructure by tumor infiltration not depicted on morphological MRI. Histogram analysis of DKI data identifies differences between glioma grades and subtypes.
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