Multiband diffusion tensor imaging for presurgical mapping of motor and language pathways in patients with brain tumors

2021 ◽  
Author(s):  
Mehrnaz Jenabi ◽  
Robert J Young ◽  
Raquel Moreno ◽  
Madeleine Gene ◽  
Nicholas Cho ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Brain Tumors ◽  
Diffusion Tensor ◽  
Presurgical Mapping ◽  
Language Pathways

scholarly journals Is There a Relationship between the Elasticity of Brain Tumors, Changes in Diffusion Tensor Imaging, and Histological Findings? A Pilot Study Using Intraoperative Ultrasound Elastography

2021 ◽  
Vol 11 (2) ◽  
pp. 271
Author(s):  
Santiago Cepeda ◽  
Sergio García-García ◽  
María Velasco-Casares ◽  
Gabriel Fernández-Pérez ◽  
Tomás Zamora ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Diffusion Tensor Imaging ◽  
Linear Regression ◽  
Brain Tumors ◽  
Diffusion Tensor ◽  
Intraoperative Ultrasound ◽  
Ultrasound Elastography ◽  
Proliferation Index ◽  
Strong Positive Correlation ◽  
Non Linear

Intraoperative ultrasound elastography (IOUS-E) is a novel image modality applied in brain tumor assessment. However, the potential links between elastographic findings and other histological and neuroimaging features are unknown. This study aims to find associations between brain tumor elasticity, diffusion tensor imaging (DTI) metrics, and cell proliferation. A retrospective study was conducted to analyze consecutively admitted patients who underwent craniotomy for supratentorial brain tumors between March 2018 and February 2020. Patients evaluated by IOUS-E and preoperative DTI were included. A semi-quantitative analysis was performed to calculate the mean tissue elasticity (MTE). Diffusion coefficients and the tumor proliferation index by Ki-67 were registered. Relationships between the continuous variables were determined using the Spearman ρ test. A predictive model was developed based on non-linear regression using the MTE as the dependent variable. Forty patients were evaluated. The pathologic diagnoses were as follows: 21 high-grade gliomas (HGG); 9 low-grade gliomas (LGG); and 10 meningiomas. Cases with a proliferation index of less than 10% had significantly higher medians of MTE (110.34 vs. 79.99, p < 0.001) and fractional anisotropy (FA) (0.24 vs. 0.19, p = 0.020). We found a strong positive correlation between MTE and FA (rs (38) = 0.91, p < 0.001). A cubic spline non-linear regression model was obtained to predict tumoral MTE from FA (R2 = 0.78, p < 0.001). According to our results, tumor elasticity is associated with histopathological and DTI-derived metrics. These findings support the usefulness of IOUS-E as a complementary tool in brain tumor surgery.

Preoperative Diffusion Tensor Imaging: A Landmark Modality for Predicting the Outcome and Characterization of Supratentorial Intra-Axial Brain Tumors

2019 ◽  
Vol 124 ◽  
pp. e540-e551
Author(s):  
Khursheed Alam Khan ◽  
Shashi Kant Jain ◽  
Virendra Deo Sinha ◽  
Jyotsna Sinha
Keyword(s):  
Diffusion Tensor Imaging ◽  
Brain Tumors ◽  
Diffusion Tensor

Diffusion tensor imaging in brain tumors: A study on gliomas and metastases

2014 ◽  
Vol 30 ◽  
pp. e52
Author(s):  
T.S. Papageorgiou ◽  
D. Chourmouzi ◽  
A. Drevelegas ◽  
K. Kouskouras ◽  
A. Siountas
Keyword(s):  
Diffusion Tensor Imaging ◽  
Brain Tumors ◽  
Diffusion Tensor

Diffusion Tensor Imaging in brain tumors: A study on gliomas and metastases

2015 ◽  
Vol 31 (7) ◽  
pp. 767-773 ◽  
Author(s):  
T.S. Papageorgiou ◽  
D. Chourmouzi ◽  
A. Drevelengas ◽  
K. Kouskouras ◽  
A. Siountas
Keyword(s):  
Diffusion Tensor Imaging ◽  
Brain Tumors ◽  
Diffusion Tensor

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
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