Intravoxel Incoherent Motion and Arterial Spin Labeling MRI Analysis of Reversible Unilateral Ureteral Obstruction in Rats

2018 ◽  
Vol 50 (1) ◽  
pp. 288-296 ◽  
Author(s):  
Genwen Hu ◽  
Zhong Yang ◽  
Wen Liang ◽  
Caiyong Lai ◽  
Yingjie Mei ◽  
...  
Keyword(s):  
Ureteral Obstruction ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Unilateral Ureteral Obstruction ◽  
Intravoxel Incoherent Motion

Renal parenchyma impairment characterization in partial unilateral ureteral obstruction in mice with intravoxel incoherent motion-MRI

2017 ◽  
Vol 31 (2) ◽  
pp. e3858 ◽  
Author(s):  
Maguelonne Pons ◽  
Benjamin Leporq ◽  
Liza Ali ◽  
Marianne Alison ◽  
Miguel Albuquerque ◽  
...  
Keyword(s):  
Ureteral Obstruction ◽  
Unilateral Ureteral Obstruction ◽  
Renal Parenchyma ◽  
Intravoxel Incoherent Motion ◽  
Motion Mri

scholarly journals Comparison of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging and Arterial Spin Labeling MR Imaging in Gliomas

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yuankai Lin ◽  
Jianrui Li ◽  
Zhiqiang Zhang ◽  
Qiang Xu ◽  
Zhenyu Zhou ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
White Matter ◽  
Mr Imaging ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Intravoxel Incoherent Motion ◽  
Low Grade ◽  
High Grade ◽  
Low Grade Gliomas ◽  
High Grade Gliomas

Gliomas grading is important for treatment plan; we aimed to investigate the application of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in gliomas grading, by comparing with the three-dimensional pseudocontinuous arterial spin labeling (3D pCASL). 24 patients (13 high grade gliomas and 11 low grade gliomas) underwent IVIM DWI and 3D pCASL imaging before operation; maps of fast diffusion coefficient (D∗), slow diffusion coefficient (D), fractional perfusion-related volume (f), and apparent diffusion coefficient (ADC) as well as cerebral blood flow (CBF) were calculated and then coregistered to generate the corresponding parameter values. We found CBF andD∗were higher in the high grade gliomas, whereas ADC,D, andfwere lower (allP<0.05). In differentiating the high from low grade gliomas, the maximum areas under the curves (AUC) ofD∗, CBF, and ADC were 0.857, 0.85, and 0.902, respectively. CBF was negatively correlated withfin tumor (r=-0.619,P=0.001). ADC was positively correlated withDin both tumor and white matter (r=0.887,P=0.000andr=0.824,P=0.000, resp.). There was no correlation between CBF andD∗in both tumor and white matter (P>0.05). IVIM DWI showed more efficiency than 3D pCASL but less validity than conventional DWI in differentiating the high from low grade gliomas.

Utility of intravoxel incoherent motion magnetic resonance imaging and arterial spin labeling for recurrent glioma after bevacizumab treatment

2018 ◽  
Vol 59 (11) ◽  
pp. 1372-1379 ◽  
Author(s):  
Fuminori Miyoshi ◽  
Yuki Shinohara ◽  
Atsushi Kambe ◽  
Keita Kuya ◽  
Atsushi Murakami ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Diffusion Coefficient ◽  
Magnetic Resonance ◽  
Tumor Progression ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Intravoxel Incoherent Motion ◽  
Low Grade ◽  
High Grade ◽  
Resonance Imaging

Background Detecting recurrence of glioma on magnetic resonance imaging (MRI) is getting more and more important, especially after administration of new anti-tumor agent. However, it is still hard to identify. Purpose To examine the utility of intravoxel incoherent motion (IVIM) MRI and arterial spin labeling-cerebral blood flow (ASL-CBF) for recurrent glioma after initiation of bevacizumab (BEV) treatment. Material and Methods Thirteen patients (7 men, 6 women; age range = 41–82 years) with glioma (high grade, n = 11; low grade, n = 2) were enrolled in the study. IVIM parameters including apparent diffusion coefficient (ADC), true diffusion coefficient (D), and perfusion fraction (f) were obtained with 14 different b-values. We identified tumor progression during BEV therapy by MRI monitoring consisting of diffusion-weighted imaging (DWI), fluid-attenuated inversion recovery (FLAIR) imaging, and contrast-enhanced T1-weighted (CE-T1W) imaging by measuring tumor area. We also measured each parameter of IVIM and ASL-CBF, and calculated relative ADC (rADC), relative D (rD), relative f (rf), and relative CBF (rCBF) by obtaining the ratio between each area and the contralateral cerebral white matter. We calculated the rate of change (Δ) by subtracting values from those from the preceding MRI study, and obtained Spearman’s rank correlation coefficient (rs). Results Tumor progression was identified in nine patients (high grade, n = 7; low grade, n = 2). Negative correlations were identified between ΔrD and ΔDWI area (rs = –0.583), and between ΔrD and ΔCE-T1W imaging area (rs = –0.605). Conclusion Tumor progression after BEV treatment can be identified by decreasing rD.

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