scholarly journals Primary Cerebral Lymphoma and Glioblastoma Multiforme: Differences in Diffusion Characteristics Evaluated with Diffusion Tensor Imaging

2007 ◽  
Vol 29 (3) ◽  
pp. 471-475 ◽  
Author(s):  
C.-H. Toh ◽  
M. Castillo ◽  
A.M.-C. Wong ◽  
K.-C. Wei ◽  
H.-F. Wong ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Glioblastoma Multiforme ◽  
Diffusion Tensor ◽  
Cerebral Lymphoma ◽  
Primary Cerebral Lymphoma ◽  
Diffusion Characteristics

scholarly journals Repeatability of quantitative parameters derived from diffusion tensor imaging in patients with glioblastoma multiforme

2009 ◽  
Vol 29 (5) ◽  
pp. 1199-1205 ◽  
Author(s):  
Michael J. Paldino ◽  
Daniel Barboriak ◽  
Annick Desjardins ◽  
Henry S. Friedman ◽  
James J. Vredenburgh
Keyword(s):  
Diffusion Tensor Imaging ◽  
Glioblastoma Multiforme ◽  
Diffusion Tensor ◽  
Quantitative Parameters

scholarly journals Global diffusion tensor imaging derived metrics differentiate glioblastoma multiforme vs. normal brains by using discriminant analysis: introduction of a novel whole-brain approach

2014 ◽  
Vol 48 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Ernesto Roldan-Valadez ◽  
Camilo Rios ◽  
David Cortez-Conradis ◽  
Rafael Favila ◽  
Sergio Moreno-Jimenez
Keyword(s):  
Diffusion Tensor Imaging ◽  
Discriminant Analysis ◽  
Glioblastoma Multiforme ◽  
Predictive Model ◽  
Predictive Accuracy ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Continuous Variables ◽  
Whole Brain ◽  
Axial Diffusivity

Abstract Background. Histological behavior of glioblastoma multiforme suggests it would benefit more from a global rather than regional evaluation. A global (whole-brain) calculation of diffusion tensor imaging (DTI) derived tensor metrics offers a valid method to detect the integrity of white matter structures without missing infiltrated brain areas not seen in conventional sequences. In this study we calculated a predictive model of brain infiltration in patients with glioblastoma using global tensor metrics. Methods. Retrospective, case and control study; 11 global DTI-derived tensor metrics were calculated in 27 patients with glioblastoma multiforme and 34 controls: mean diffusivity, fractional anisotropy, pure isotropic diffusion, pure anisotropic diffusion, the total magnitude of the diffusion tensor, linear tensor, planar tensor, spherical tensor, relative anisotropy, axial diffusivity and radial diffusivity. The multivariate discriminant analysis of these variables (including age) with a diagnostic test evaluation was performed. Results. The simultaneous analysis of 732 measures from 12 continuous variables in 61 subjects revealed one discriminant model that significantly differentiated normal brains and brains with glioblastoma: Wilks’ λ = 0.324, χ2 (3) = 38.907, p < .001. The overall predictive accuracy was 92.7%. Conclusions. We present a phase II study introducing a novel global approach using DTI-derived biomarkers of brain impairment. The final predictive model selected only three metrics: axial diffusivity, spherical tensor and linear tensor. These metrics might be clinically applied for diagnosis, follow-up, and the study of other neurological diseases.

Diffusion tensor imaging for target volume definition in glioblastoma multiforme

2014 ◽  
Vol 190 (10) ◽  
pp. 939-943 ◽  
Author(s):  
Jatta Berberat ◽  
Jane McNamara ◽  
Luca Remonda ◽  
Stephan Bodis ◽  
Susanne Rogers
Keyword(s):  
Diffusion Tensor Imaging ◽  
Glioblastoma Multiforme ◽  
Diffusion Tensor ◽  
Target Volume ◽  
Target Volume Definition

scholarly journals Diffusion Tensor Imaging in Patients with Glioblastoma Multiforme Using the Supertoroidal Model

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0146693 ◽  
Author(s):  
Choukri Mekkaoui ◽  
Philippe Metellus ◽  
William J. Kostis ◽  
Roberto Martuzzi ◽  
Fabricio R. Pereira ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Glioblastoma Multiforme ◽  
Diffusion Tensor

scholarly journals Differentiation between Glioblastoma Multiforme and Primary Cerebral Lymphoma: Additional Benefits of Quantitative Diffusion-Weighted MR Imaging

PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0162565 ◽  
Author(s):  
Ching Chung Ko ◽  
Ming Hong Tai ◽  
Chien Feng Li ◽  
Tai Yuan Chen ◽  
Jeon Hor Chen ◽  
...  
Keyword(s):  
Glioblastoma Multiforme ◽  
Mr Imaging ◽  
Cerebral Lymphoma ◽  
Primary Cerebral Lymphoma ◽  
Diffusion Weighted

scholarly journals Anatomical characterization of ADHD using an atlas-based analysis: A diffusion tensor imaging study

2017 ◽  
Vol 1 (1) ◽  
pp. 46-56 ◽  
Author(s):  
Niyazi Acer ◽  
Nazan Dolu ◽  
Gokmen Zararsiz ◽  
Mehmet Sait Dogan ◽  
Kazim Gumus ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Substantia Nigra ◽  
Gray Matter ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
The Body ◽  
Children With Adhd ◽  
Diffusion Characteristics ◽  
Left And Right ◽  
Deep Gray Matter

Abstract Purpose: To examine brain diffusion characteristics in pediatric patients with attention deficit hyperactivity disorder (ADHD) using diffusion tensor imaging (DTI) and an atlas-based anatomical analysis of the whole brain and to investigate whether these images have unique characteristics that can support functional diagnoses. Materials and Methods: Seventeen children with ADHD and ten control subjects (all age-matched) underwent MRI scans. The Institutional Ethics Board approved this study. Morphometric analysis was performed using MriStudio software. The diffusion images were normalized using a linear transformation, followed by large deformation diffeomorphic metric mapping (LDDMM). For 189 parcellated brain regions, the volume, fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured. Results: Children with ADHD were found to have increase in the body of lateral ventricle volumes compared to the control. Increased MD was found in the deep gray matter, amygdala, thalamus, substantia nigra, and also the cerebellum left and right side. Increased RD was found in the deep gray matter, caudate, thalamus, substantia nigra and hippocampus left and right side compared to the control. Significant elevated FA was found in the bilateral splenium of the corpus callosum in ADHD patients. Conclusion: Children with ADHD display abnormal diffusion characteristics and anatomical features compared to healthy controls. DTI can provide sensitive information on integrity of white matter (WM) and intra-WM structures in ADHD.

Sign in / Sign up

Export Citation Format

Share Document