scholarly journals Comparison of Multiple Parameters Obtained on 3T Pulsed Arterial Spin-Labeling, Diffusion Tensor Imaging, and MRS and the Ki-67 Labeling Index in Evaluating Glioma Grading

2014 ◽  
Vol 35 (11) ◽  
pp. 2091-2098 ◽  
Author(s):  
H. Fudaba ◽  
T. Shimomura ◽  
T. Abe ◽  
H. Matsuta ◽  
Y. Momii ◽  
...  
2021 ◽  
Author(s):  
Zhiwei Wu ◽  
Yue Chang ◽  
Ziyang Song ◽  
Mengya Ma ◽  
Yuanqing Liu ◽  
...  

Abstract Purpose: To evaluate the early bilirubin-induced neurologic dysfunction (BIND) by T1 weighted imaging (T1WI), diffusion tensor imaging (DTI), and arterial spin labeling (ASL).Methods: Forty newborns: hyperbilirubinemia with BIND (BIND group, n=13), hyperbilirubinemia without BIND (non-BIND group, n=17), and healthy newborns (HC group, n=10). The MRI parameters of globus pallidus were measured, including the T1WI signal values from conventional MRI, apparent diffusion coefficient (ADC), the fractional anisotropy (FA), relative anisotropy (RA) and volume ratio (VR) value from DTI, and the relative cerebral blood flow (rCBF) value from ASL. The group differences were analyzed by ANOVA with Bonferroni correction. The diagnosis efficiencies were assessed by the receiver operating characteristic curve (ROC). The correlation between those parameters and serum bilirubin level was evaluated by Pearson’s correlation coefficient.Results: 1)The mean signal values of globus pallidus on T1WI and DTI parameters were significantly different among the groups (p < 0.05). The difference in T1WI between the non-BIND group and the BIND group was not significant (p >0.05). The rCBF of globus pallidus was not significantly different among the three groups (p > 0.05). 2) The T1WI, FA, and RA values were positively while the VR value was negatively correlated with serum bilirubin level (r =0.763, 0.585, 0.586, -0.544 respectively, p < 0.05). The ADC value and rCBF were not correlated with serum bilirubin (r = -0.050, -0.275 respectively, p > 0.05). 3) The area under curve (AUC) of T1WI, FA, RA, VR was 0.953, 0.897, 0.897, 0.860 respectively. And the AUC of the diagnosis method, combined T1WI, FA, RA and VR, was 0.987.Conclusion: The index, combined T1WI and DTI parameters, was important for diagnosing early hyperbilirubinemia brain injury. ASL might not have function on diagnosing early hyperbilirubinemia brain injure.


2019 ◽  
Vol 61 (8) ◽  
pp. 1057-1063
Author(s):  
Chaochao Wang ◽  
Haibo Dong

Background Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and three-dimensional arterial spin labeling (3D-ASL) have been applied to brain tumors; however, the relationship between their parameters and the Ki-67 labeling index (Ki-67 LI) for the grading of gliomas have yet to be investigated. Purpose The aim of this study is to compare multiple parameters obtained from IVIM-DWI and 3D-ASL with the Ki-67 LI when grading gliomas. Material and Methods Fifty-two patients with pathologically confirmed gliomas had undergone magnetic resonance imaging (MRI), including IVIM-DWI and 3D-ASL imaging. Mann–Whitney U tests were conducted and receiver operating characteristic (ROC) curves were generated to determine parameters for distinguishing high-grade gliomas (HGGs) from low-grade gliomas (LGGs). These parameters included the apparent diffusion coefficient (ADC), true diffusivity (D), pseudo diffusivity (D*), perfusion fraction ( f), cerebral blood flow (CBF), and their relative values (rADC, rD, rD*, r f, and rCBF). Spearman correlation analysis was used to assess the correlations of the parameters of MRI with the Ki-67 LI. Results The rADC, rD, and r f were significantly lower in HGGs than in LGGs ( P < 0.005 for all). The rD had a significantly greater area under the ROC curve than that of the other parameters in the differentiation of HGGs from LGGs ( P < 0.05). Both the rD and r f were moderately negatively correlated with the Ki-67 LI. Conclusion Both the rD and r f can be used for the quantitative prediction of the Ki-67 LI. Among the extracted parameters, the rD had the significantly greatest diagnostic efficacy.


2008 ◽  
Vol 32 (2) ◽  
pp. 298-303 ◽  
Author(s):  
Ho Yun Lee ◽  
Dong Gyu Na ◽  
In-Chan Song ◽  
Dong Hoon Lee ◽  
Hyung Suk Seo ◽  
...  

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