Intravoxel incoherent motion diffusion-weighted imaging analysis of diffusion and microperfusion in grading gliomas and comparison with arterial spin labeling for evaluation of tumor perfusion

2016 ◽  
Vol 44 (3) ◽  
pp. 620-632 ◽  
Author(s):  
Nanxi Shen ◽  
Lingyun Zhao ◽  
Jingjing Jiang ◽  
Rifeng Jiang ◽  
Changliang Su ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Intravoxel Incoherent Motion ◽  
Imaging Analysis ◽  
Tumor Perfusion ◽  
Diffusion Weighted

scholarly journals Combined Arterial Spin Labeling and Diffusion-Weighted Imaging for Noninvasive Estimation of Capillary Volume Fraction and Permeability-Surface Product in the Human Brain

2012 ◽  
Vol 33 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Patrick W Hales ◽  
Chris A Clark
Keyword(s):  
Human Brain ◽  
Diffusion Weighted Imaging ◽  
Arterial Spin Labeling ◽  
Volume Fraction ◽  
A Priori ◽  
Spin Labeling ◽  
Gaussian Kernel ◽  
Diffusion Weighted ◽  
Permeability Surface ◽  
Surface Product

A number of two-compartment models have been developed for the analysis of arterial spin labeling (ASL) data, from which both cerebral blood flow ( CBF) and capillary permeability-surface product ( PS) can be estimated. To derive values of PS, the volume fraction of the ASL signal arising from the intravascular space ( vbw) must be known a priori. We examined the use of diffusion-weighted imaging (DWI) and subsequent analysis using the intravoxel incoherent motion model to determine vbw in the human brain. These data were then used in a two-compartment ASL model to estimate PS. Imaging was performed in 10 healthy adult subjects, and repeated in five subjects to test reproducibility. In gray matter (excluding large arteries), mean voxel-wise vbw was 2.3 ± 0.2 mL blood/100 g tissue (all subjects mean ± s.d.), and CBF and PS were 44 ± 5 and 108 ± 2 mL per 100 g per minute, respectively. After spatial smoothing using a 6-mm full width at half maximum Gaussian kernel, the coefficient of repeatability of CBF, vbw and PS were 8 mL per 100 g per minute, 0.4 mL blood/100 g tissue, and 13 mL per 100 g per minute, respectively. Our results show that the combined use of ASL and DWI can provide a new, noninvasive methodology for estimating vbw and PS directly, with reproducibility that is sufficient for clinical use.

Ki-67 labeling index and the grading of cerebral gliomas by using intravoxel incoherent motion diffusion-weighted imaging and three-dimensional arterial spin labeling magnetic resonance imaging

2019 ◽  
Vol 61 (8) ◽  
pp. 1057-1063
Author(s):  
Chaochao Wang ◽  
Haibo Dong
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Diffusion Weighted Imaging ◽  
Arterial Spin Labeling ◽  
Three Dimensional ◽  
Spin Labeling ◽  
Labeling Index ◽  
Intravoxel Incoherent Motion ◽  
Resonance Imaging ◽  
Ki 67

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.

scholarly journals Evaluation of Regional Variability and Measurement Reproducibility of Intravoxel Incoherent Motion Diffusion Weighted Imaging Using a Cardiac Stationary Phase Based ECG Trigger Method

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhiming Xiang ◽  
Zhu Ai ◽  
Jianke Liang ◽  
Guijin Li ◽  
Xiaolei Zhu ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Stationary Phase ◽  
Diffusion Weighted Imaging ◽  
Intravoxel Incoherent Motion ◽  
Regional Variability ◽  
Altman Plot ◽  
Bland Altman Plot ◽  
Hepatic Lobe ◽  
Diffusion Weighted ◽  
Pure Diffusion

Purpose. To evaluate the performance of an optimized ECG trigger diffusion weighted imaging (DWI) sequence in liver and its application in liver disease. Materials and Methods. Eighteen healthy volunteers underwent intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) scan of the liver twice in 1.5T MR scanner with signed informed consent approved by local ethic committees. A new method, called cardiac stationary phase based ECG trigger (CaspECG), and FB method were applied. The apparent diffusion coefficient (ADC) and the IVIM parameters, including pure diffusion coefficient (D), perfusion-related diffusion coefficient (D⁎), and perfusion fraction, (PF) were calculated, and then 18 region of interests were drawn on these parameter maps independently by two readers through whole hepatic lobe. The regional variability and reproducibility between two repeated scans were evaluated using interclass correlation coefficients (ICCs) and Bland-Altman plot, respectively, and compared between the CaspECG and FB methods. The signal-to-noise ratio (SNR) of DWI data was also evaluated. Result. Compared to the FB method, the proposed CaspECG method showed significant higher SNRs in DWI data, lower regional variability between left and right hepatic lobes, and higher reproducibility of ADC, PF, D, and D⁎ between repeat scans [left lobe, limit of agreement (LOA) of Bland-Altman plot: 10.1%, 18.3%, 19.8%, and 59.2%; right lobe, LOA: 10.25%, 14.15%, 16.45%, and 39.45%]. D⁎ showed the worst reproducibility in all parameters. Conclusion. The novel CaspECG method outperformed the FB method in compensating the cardiac motion induced artifacts in DWI data and generating more reliable quantitative parameters, with less regional variability and higher repeatability, especially in the left hepatic lobe.

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