ArticleJournal of neuro-oncology2014
Lower apparent diffusion coefficients indicate distinct prognosis in low-grade and high-grade glioma.
Article in Journal of neuro-oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Congress of neurological surgeons systematic review and evidence-based guidelines for the role of imaging in newly diagnosed WHO grade II diffuse glioma in adults: update.Journal of neuro-oncology · 2025Pooled it
- Conventional MRI features of adult diffuse glioma molecular subtypes: a systematic review.Neuroradiology · 2021Pooled it
- Structured reporting of gliomas based on VASARI criteria to improve report content and consistency.BMC medical imaging · 2025Article
- Radiogenomics Provides Insights into Gliomas Demonstrating Single-Arm 1p or 19q Deletion.AJNR. American journal of neuroradiology · 2023Article
- Magnetic Resonance Imaging of Primary Adult Brain Tumors: State of the Art and Future Perspectives.Biomedicines · 2023Review
- Feasibility of evaluating the histologic and genetic subtypes of WHO grade II-IV gliomas by diffusion-weighted imaging.BMC neuroscience · 2022Article
- Diffusion Weighted Imaging in Gliomas: A Histogram-Based Approach for Tumor Characterization.Cancers · 2022Article
- Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.Neuro-oncology · 2022Article
- Visualization of tumor heterogeneity and prediction of isocitrate dehydrogenase mutation status for human gliomas using multiparametric physiologic and metabolic MRI.Scientific reports · 2022Article
- Regional and Volumetric Parameters for Diffusion-Weighted WHO Grade II and III Glioma Genotyping: A Method Comparison.AJNR. American journal of neuroradiology · 2021Article
- Survival Prediction Analysis in Glioblastoma With Diffusion Kurtosis Imaging.Frontiers in oncology · 2021Article
- Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile.PloS one · 2021Article
- Histogram Analysis of Diffusion Weighted Imaging in Low-Grade Gliomas:Frontiers in oncology · 2020Article
- Survival prediction of high-grade glioma patients with diffusion kurtosis imaging.American journal of translational research · 2019Article
- Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional region of interest analysis.European radiology · 2018Article
- Sequential Apparent Diffusion Coefficient for Assessment of Tumor Progression in Patients with Low-Grade Glioma.AJNR. American journal of neuroradiology · 2018Article
- IVIM perfusion fraction is prognostic for survival in brain glioma.Clinical neuroradiology · 2017Article
- Perfusion and diffusion MRI signatures in histologic and genetic subtypes of WHO grade II-III diffuse gliomas.Journal of neuro-oncology · 2017Article
- Integrative Diffusion-Weighted Imaging and Radiogenomic Network Analysis of Glioblastoma multiforme.Scientific reports · 2017Article
- Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index.Neuroradiology · 2016Article
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Authors and funding
6 authors.
Funding
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Abstract
Tumor grade and molecular variants influence the survival of patients with glioma. The apparent diffusion coefficient (ADC) map is a non-invasive tool for evaluating the outcomes and response to therapy in glioma. In this study, we investigated the correlation between the tumor grade and prognostic biomarkers with the ADC in glioma patients. Eighty-two patients with supratentorial glioma were identified via analysis of surgical specimens and neuroradiological data. Using the World Health Organization grade, histological subtype, and molecular variants (1p/19q codeletion, isocitrate dehydrogenase 1/2 mutation, Ki-67 index, O6-methylguanine DNA methyltransferase, P53, and vascular endothelial growth factor immunoactivity) as prognostic biomarkers, we performed receiver operating characteristic analysis and multiple linear regression to assess the association between the magnetic resonance diffusion parameter and mean ADC and the prognostic factors of glioma pathology. Univariate analysis and multiple linear regression revealed inverse correlations between the ADC values and the tumor grade, oligodendrocytoma histology, and 1p/19q codeletion. A threshold mean ADC value could predict the 1p/19q chromosomal status in WHO II gliomas with 72 % sensitivity and 88 % specificity (area under the curve 0.82, 95 % confidence interval 0.68-0.97) and could distinguish low-grade glioma with low-risk factors from the high-risk group (P < 0.01). The mean ADC value could be used as a non-invasive tool to evaluate the prognosis of supratentorial glioma patients. A threshold mean ADC value could be used to predict the 1p/19q codeletion and to identify low-risk low-grade gliomas (LGGs). Lower ADC values are indicative of a favorable prognosis in LGGs.
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