Myocardial blood flow at rest and stress measured with dynamic contrast-enhanced MRI: Comparison of a distributed parameter model with a fermi function model

2013 ◽  
Vol 70 (6) ◽  
pp. 1591-1597 ◽  
Author(s):  
David A. Broadbent ◽  
John D. Biglands ◽  
Abdulghani Larghat ◽  
Steven P. Sourbron ◽  
Aleksandra Radjenovic ◽  
...  
Keyword(s):  
Blood Flow ◽  
Myocardial Blood Flow ◽  
Distributed Parameter ◽  
Function Model ◽  
Dynamic Contrast Enhanced Mri ◽  
Dynamic Contrast Enhanced ◽  
Distributed Parameter Model ◽  
Contrast Enhanced ◽  
Fermi Function ◽  
Contrast Enhanced Mri

scholarly journals Estimates of systolic and diastolic myocardial blood flow by dynamic contrast-enhanced MRI

2010 ◽  
Vol 64 (6) ◽  
pp. 1696-1703 ◽  
Author(s):  
Aleksandra Radjenovic ◽  
John D. Biglands ◽  
Abdulghani Larghat ◽  
John P. Ridgway ◽  
Stephen G. Ball ◽  
...  
Keyword(s):  
Blood Flow ◽  
Myocardial Blood Flow ◽  
Dynamic Contrast Enhanced Mri ◽  
Dynamic Contrast Enhanced ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Contrast Enhanced Mri

scholarly journals Application of Distributed Parameter Model to Assessment of Glioma IDH Mutation Status by Dynamic Contrast-Enhanced Magnetic Resonance Imaging

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zongfang Li ◽  
Wei Zhao ◽  
Bo He ◽  
Tong San Koh ◽  
Yanxi Li ◽  
...  
Keyword(s):  
Blood Flow ◽  
Roc Curve ◽  
Wilcoxon Test ◽  
Distributed Parameter ◽  
Idh Mutation ◽  
Weak Correlation ◽  
Dynamic Contrast Enhanced ◽  
Distributed Parameter Model ◽  
Contrast Enhanced ◽  
Enhanced Imaging

Previous studies using contrast-enhanced imaging for glioma isocitrate dehydrogenase (IDH) mutation assessment showed promising yet inconsistent results, and this study attempts to explore this problem by using an advanced tracer kinetic model, the distributed parameter model (DP). Fifty-five patients with glioma examined using dynamic contrast-enhanced imaging sequence at a 3.0 T scanner were retrospectively reviewed. The imaging data were processed using DP, yielding the following parameters: blood flow F, permeability-surface area product PS, fractional volume of interstitial space Ve, fractional volume of intravascular space Vp, and extraction ratio E. The results were compared with the Tofts model. The Wilcoxon test and boxplot were utilized for assessment of differences of model parameters between IDH-mutant and IDH-wildtype gliomas. Spearman correlation r was employed to investigate the relationship between DP and Tofts parameters. Diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis and quantified using the area under the ROC curve (AUC). Results showed that IDH-mutant gliomas were significantly lower in F ( P  = 0.018), PS ( P < 0.001 ), Vp ( P < 0.001 ), E ( P < 0.001 ), and Ve ( P  = 0.002) than IDH-wildtype gliomas. In differentiating IDH-mutant and IDH-wildtype gliomas, Vp had the best performance (AUC = 0.92), and the AUCs of PS and E were 0.82 and 0.80, respectively. In comparison, Tofts parameters were lower in Ktrans ( P  = 0.013) and Ve ( P < 0.001 ) for IDH-mutant gliomas. No significant difference was observed in Kep ( P  = 0.525). The AUCs of Ktrans, Ve, and Kep were 0.69, 0.79, and 0.55, respectively. Tofts-derived Ve showed a strong correlation with DP-derived Ve (r > 0.9, P < 0.001 ). Ktrans showed a weak correlation with F (r < 0.3, P  > 0.16) and a very weak correlation with PS (r < 0.06, P  > 0.8), both of which were not statistically significant. The findings by DP revealed a tissue environment with lower vascularity, lower vessel permeability, and lower blood flow in IDH-mutant than in IDH-wildtype gliomas, being hostile to cellular differentiation of oncogenic effects in IDH-mutated gliomas, which might help to explain the better outcomes in IDH-mutated glioma patients than in glioma patients of IDH-wildtype. The advantage of DP over Tofts in glioma DCE data analysis was demonstrated in terms of clearer elucidation of tissue microenvironment and better performance in IDH mutation assessment.

scholarly journals Quantitation of differential renal blood flow and renal function using dynamic contrast-enhanced MRI in rats

2004 ◽  
Vol 51 (3) ◽  
pp. 510-517 ◽  
Author(s):  
Michael Pedersen ◽  
Yimin Shi ◽  
Peter Anderson ◽  
Hans Stødkilde-Jørgensen ◽  
Jens Christian Djurhuus ◽  
...  
Keyword(s):  
Blood Flow ◽  
Renal Function ◽  
Renal Blood Flow ◽  
Dynamic Contrast Enhanced Mri ◽  
Dynamic Contrast Enhanced ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Contrast Enhanced Mri
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