scholarly journals Feasibility of generalised DKI approach for brain glioma grading

2020 ◽  
Author(s):  
E Pogosbekian ◽  
I N Pronin ◽  
N Zakharova ◽  
A Batalov ◽  
A Turkin ◽  
...  
Keyword(s):  
Diffusion Tensor ◽  
Diffusion Kurtosis Imaging ◽  
High Grade ◽  
Brain Glioma ◽  
Tumour Heterogeneity ◽  
Clinical Issue ◽  
Invasive Approach ◽  
Glioma Grading ◽  
High Grade Gliomas ◽  
Glioma Differentiation

Purpose: An accurate differentiation of brain glioma grade constitutes an important clinical issue. Powerful non-invasive approach based on diffusion MRI has already demonstrated its feasibility in glioma grade stratification. However, the conventional diffusion tensor (DTI) and kurtosis imaging (DKI) demonstrated moderate sensitivity and performance in glioma grading. In the present work, we apply generalised DKI (gDKI) approach in order to assess its diagnostic accuracy and potential application in glioma grading. Methods: Diffusion scalar metrics were obtained from 50 patients with different glioma grades confirmed by histological tests following biopsy or surgery. All patients were divided into two groups with low- and high-grade gliomas as II grade versus III and IV grades, respectively. For a comparison, trained radiologists segmented the brain tissue into three regions with solid tumour, oedema, and normal appearing white matter. For each region we estimated the conventional and gDKI metrics including DTI maps. Results: We found high correlations between DKI and gDKI metrics in high-grade glioma. Further, gDKI metrics enabled introduction of a complementary measure for glioma differentiation based on correlations between the conventional and generalised approaches. Both conventional and generalised DKI metrics showed quantitative maps of tumour heterogeneity and oedema behaviour. gDKI approach demonstrated largely similar sensitivity and specificity in low-high glioma differentiation as in the case of conventional DKI method. Conclusion: The generalised diffusion kurtosis imaging enables differentiation of low and high grade gliomas at the same level as the conventional DKI. Additionally, gDKI exhibited higher tissue contrast between tumour and healthy tissue and, thus, may contribute as a complementary source of information on tumour heterogeneity.

Magnetic resonance diffusion-tensor imaging metrics in High Grade Gliomas: Correlation with IDH1 gene status in WHO 2016 era

2019 ◽  
Vol 116 ◽  
pp. 174-179
Author(s):  
Raffaele Augelli ◽  
Elisa Ciceri ◽  
Claudio Ghimenton ◽  
Giada Zoccatelli ◽  
Alessandra Bucci ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
High Grade ◽  
High Grade Gliomas ◽  
Gene Status

scholarly journals Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas

2016 ◽  
Vol 29 (5) ◽  
pp. 400-407 ◽  
Author(s):  
Lamiaa El-Serougy ◽  
Ahmed Abdel Khalek Abdel Razek ◽  
Amani Ezzat ◽  
Hany Eldawoody ◽  
Ahmad El-Morsy
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Low Grade ◽  
High Grade ◽  
High Grade Gliomas

scholarly journals CREB3L1 and PTN expressions correlate with prognosis of brain glioma patients

2018 ◽  
Vol 38 (3) ◽  
Author(s):  
Li-qiang Liu ◽  
Li-fei Feng ◽  
Cheng-rui Nan ◽  
Zong-mao Zhao
Keyword(s):  
Mrna Expression ◽  
Survival Time ◽  
Population Distribution ◽  
High Grade Glioma ◽  
Low Grade ◽  
High Grade ◽  
Brain Glioma ◽  
Expression Levels ◽  
Cell Counts ◽  
High Grade Gliomas

The present study was conducted to investigate the clinical significance of cAMP responsive element binding protein 3 like 1 (CREB3L1) and pleiotrophin (PTN) expression in prognosis of patients with brain gliomas. Human brain tissue samples were collected from normal glial tissues (control), low- and high-grade glioma tissues. CREB3L1 and PTN expression levels in cells were assessed by immunohistochemistry (IHC), and population distribution of the CREB3L1- and PTN-presenting patients was examined. The CREB3L1 and PTN mRNA expression levels in three types of the brain cells was determined by RT-PCR. Survival rates for population of the CREB3L1- and PTN-presenting patients were examined. CREB3L1+ cell counts were decreased with increased PTN+ cells in the low-grade and high-grade glioma tissues as compared with the control. Population proportion of the CREB3L1+-presenting patients decreased from the control to the high-grade glioma and the population of the PTN+-presenting patients increased in low- and high-grade gliomas as compared with the control (both P<0.05). The decrease in the CREB3L1 mRNA expression was associated with the increase in the PTN mRNA expression in the low- and high-grade gliomas (P<0.05). Survival time for patients with CREB3L1− and PTN+ gliomas was shorter than patients with CREB3L1+ and PTN− gliomas in the investigated cohorts (both P<0.05). There was a relationship between the expression levels of both proteins and survival time. CREB3L1 and PTN expression levels serve as biomarkers with utility in grading gliomas. Absence of CREB3L1 and presence of PTN in brain glioma cells correlate with survival time of the glioma patients.

TH-C-141-06: Estimating Cell Density Using Fractional Anisotropy From Postoperative Diffusion Tensor Imaging of High-Grade Gliomas

2013 ◽  
Vol 40 (6Part32) ◽  
pp. 540-540
Author(s):  
R Kosztyla ◽  
V Moiseenko ◽  
S Reinsberg ◽  
R Ma ◽  
M McKenzie ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Cell Density ◽  
Fractional Anisotropy ◽  
Diffusion Tensor ◽  
High Grade ◽  
High Grade Gliomas

scholarly journals Differentiation between high-grade gliomas and metastatic brain tumors using Diffusion Tensor Imaging metrics

2015 ◽  
Vol 46 (4) ◽  
pp. 1099-1104 ◽  
Author(s):  
Lamiaa Galal El-Serougy ◽  
Ahmed Abdel Khalek Abdel Razek ◽  
Amani Ezzat Mousa ◽  
Hany A. Fikry Eldawoody ◽  
Ahmad El-Morsy Ebraheem El-Morsy
Keyword(s):  
Diffusion Tensor Imaging ◽  
Brain Tumors ◽  
Diffusion Tensor ◽  
High Grade ◽  
Metastatic Brain Tumors ◽  
High Grade Gliomas

Interobserver Agreement of White Matter Tract Involvement in Gliomas with Diffusion Tensor Tractography

2019 ◽  
Vol 81 (03) ◽  
pp. 233-237 ◽  
Author(s):  
Ahmed Abdel Khalek Abdel Razek ◽  
Lamiaa El-Serougy ◽  
Amani Ezzat ◽  
Hany Eldawoody ◽  
Ahmad El-Morsy
Keyword(s):  
White Matter ◽  
Corpus Callosum ◽  
Interobserver Agreement ◽  
Diffusion Tensor ◽  
Diffusion Tensor Tractography ◽  
High Grade ◽  
White Matter Tract ◽  
Optic Radiation ◽  
Tract Involvement ◽  
High Grade Gliomas

Abstract Aim To assess with diffusion tensor tractography (DTT) the interobserver agreement of white matter tract involvement in patients with gliomas. Patient and Methods A prospective study was conducted on 35 patients (21 male, 14 female; age: 2–71 years) with gliomas that underwent DTT. Two independent readers assessed the patterns of involvement of the corticospinal tract, corpus callosum, optic radiation, and fasciculi as normal, edematous, displaced, infiltrated, or disrupted. Results Overall interobserver agreement of involvement of the white matter tracts was excellent (κ = 0.93; 95% confidence interval [CI], 0.91–0.95; p = 0.001). Interobserver agreement was excellent for involvement of corticospinal tracts (κ = 0.81; 95% CI, 0.57–1.00; p = 0.001), corpus callosum (κ = 0.91; 95% CI, 0.75–1.00; p = 0.001), optic radiation (κ = 0.77; 95% CI, 0.53–0.98; p = 0.001), and fasciculi (κ = 0.912; 95% CI, 0.81–0.99; p = 0.001. The interobserver agreement was excellent for tract edema (κ = 0.81; 95% CI, 0.57–1.00; p = 0.001), tract displacement (κ = 0.91; 95% CI, 0.75–1.00; p = 0.001), tract disruption (κ = 0.81; 95% CI, 0.57–1.00; p = 0.001), and good for tract infiltration (κ = 0.77; 95% CI, 0.53–0.98; p = 0.001). The interobserver agreement was excellent for white matter tract involvement in patients with low-grade gliomas (κ = 0.81; 95% CI, 0.57–1.00; p = 0.001) and high-grade gliomas (κ = 0.91; 95% CI, 0.75–1.00; p = 0.001). Conclusion DTT is a reliable and reproducible method for assessment of white matter tract involvement in patients with low- and high-grade gliomas.

scholarly journals RADI-18. DIFFUSION KURTOSIS IMAGING CAN HELP DIFFERENTIATE LOW- AND HIGH-GRADE GLIOMAS IN PEDIATRIC PATIENTS: A PROSPECTIVE SINGLE CENTRE STUDY

2018 ◽  
Vol 20 (suppl_2) ◽  
pp. i173-i173
Author(s):  
Ioan Paul Voicu ◽  
Antonio Napolitano ◽  
Chiara Carducci ◽  
Lorenzo Lattavo ◽  
Maria Camilla Rossi Espagnet ◽  
...  
Keyword(s):  
Pediatric Patients ◽  
Diffusion Kurtosis Imaging ◽  
High Grade ◽  
Single Centre ◽  
Centre Study ◽  
Single Centre Study ◽  
High Grade Gliomas ◽  
Diffusion Kurtosis

scholarly journals Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jiaji Mao ◽  
Weike Zeng ◽  
Qinyuan Zhang ◽  
Zehong Yang ◽  
Xu Yan ◽  
...  
Keyword(s):  
Brain Metastases ◽  
Fractional Anisotropy ◽  
Volume Fraction ◽  
Mean Diffusivity ◽  
Diffusion Kurtosis Imaging ◽  
High Grade ◽  
Diffusion Weighted Mri ◽  
Diffusion Weighted ◽  
High Grade Gliomas ◽  
Solitary Brain Metastases

Abstract Background To compare the diagnostic performance of neurite orientation dispersion and density imaging (NODDI), mean apparent propagator magnetic resonance imaging (MAP-MRI), diffusion kurtosis imaging (DKI), diffusion tensor imaging (DTI) and diffusion-weighted imaging (DWI) in distinguishing high-grade gliomas (HGGs) from solitary brain metastases (SBMs). Methods Patients with previously untreated, histopathologically confirmed HGGs (n = 20) or SBMs (n = 21) appearing as a solitary and contrast-enhancing lesion on structural MRI were prospectively recruited to undergo diffusion-weighted MRI. DWI data were obtained using a q-space Cartesian grid sampling procedure and were processed to generate parametric maps by fitting the NODDI, MAP-MRI, DKI, DTI and DWI models. The diffusion metrics of the contrast-enhancing tumor and peritumoral edema were measured. Differences in the diffusion metrics were compared between HGGs and SBMs, followed by receiver operating characteristic (ROC) analysis and the Hanley and McNeill test to determine their diagnostic performances. Results NODDI-based isotropic volume fraction (Viso) and orientation dispersion index (ODI); MAP-MRI-based mean-squared displacement (MSD) and q-space inverse variance (QIV); DKI-generated radial, mean diffusivity and fractional anisotropy (RDk, MDk and FAk); and DTI-generated radial, mean diffusivity and fractional anisotropy (RD, MD and FA) of the contrast-enhancing tumor were significantly different between HGGs and SBMs (p < 0.05). The best single discriminative parameters of each model were Viso, MSD, RDk and RD for NODDI, MAP-MRI, DKI and DTI, respectively. The AUC of Viso (0.871) was significantly higher than that of MSD (0.736), RDk (0.760) and RD (0.733) (p < 0.05). Conclusion NODDI outperforms MAP-MRI, DKI, DTI and DWI in differentiating between HGGs and SBMs. NODDI-based Viso has the highest performance.

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