Diffusion-tensor imaging for glioma grading at 3-T magnetic resonance imaging: analysis of fractional anisotropy and mean diffusivity.

Diffusion-tensor imaging for glioma grading at 3-T magnetic resonance imaging: analysis of fractional anisotropy and mean diffusivity.

Item
http://www.wikidata.org/entity/Q31151146
The role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectivesMultimodal MR imaging model to predict tumor infiltration in patients with gliomas.Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging.MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas.Functional assessment of glioma pathogenesis by in vivo multi-parametric magnetic resonance imaging and in vitro analyses.White Matter Change Revealed by Diffusion Tensor Imaging in Gliomas.Preoperative Quantitative MR Tractography Compared with Visual Tract Evaluation in Patients with Neuropathologically Confirmed Gliomas Grades II and III: A Prospective Cohort Study.Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas.Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index.Evaluation of cerebral glioma using 3T diffusion kurtosis tensor imaging and the relationship between diffusion kurtosis metrics and tumor cellularityPotential role of fractional anisotropy derived from diffusion tensor imaging in differentiating high-grade gliomas from low-grade gliomas: a meta-analysis.Statistical analysis of multi-b factor diffusion weighted images can help distinguish between vasogenic and tumor-infiltrated edema.Meta-analysis of diffusion metrics for the prediction of tumor grade in gliomas.Determining mean fractional anisotropy using DDCOSY: preliminary results in biological tissues.Influence of region-of-interest designs on quantitative measurement of multimodal imaging of MR non-enhancing gliomas.Diffusion tensor MR imaging of cerebral gliomas: evaluating fractional anisotropy characteristics.Glioma grade assessment by using histogram analysis of diffusion tensor imaging-derived maps.
P2860

Diffusion-tensor imaging for glioma grading at 3-T magnetic resonance imaging: analysis of fractional anisotropy and mean diffusivity.

Item
http://www.wikidata.org/entity/Q31151146
description
2008 nî lūn-bûn
@nan
2008 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մարտին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Diffusion-tensor imaging for g ...... isotropy and mean diffusivity.
@ast
Diffusion-tensor imaging for g ...... isotropy and mean diffusivity.
@en
type
label
Diffusion-tensor imaging for g ...... isotropy and mean diffusivity.
@ast
Diffusion-tensor imaging for g ...... isotropy and mean diffusivity.
@en
prefLabel
Diffusion-tensor imaging for g ...... isotropy and mean diffusivity.
@ast
Diffusion-tensor imaging for g ...... isotropy and mean diffusivity.
@en
P1433
P1476
P2093
P304
P31
P356
P433
P478
P50
P577
P698
P921
P356
P1433
P1476
Diffusion-tensor imaging for g ...... isotropy and mean diffusivity.
@en
P2093
P304
P31
P356
10.1097/RCT.0B013E318076B44D
P433
P478
P50
P577
P698
P921