Pharmacokinetic Parameters

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Xiaoming Yang - One of the best experts on this subject based on the ideXlab platform.

  • assessment of liver fibrosis using Pharmacokinetic Parameters of dynamic contrast enhanced magnetic resonance imaging
    Journal of Magnetic Resonance Imaging, 2016
    Co-Authors: Jihong Sun, Lumin Chen, Ning Huang, Guocan Han, Yurong Zhou, Weixian Bai, Tianye Niu, Xiaoming Yang
    Abstract:

    PURPOSE To evaluate the Pharmacokinetic Parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in diagnosing and staging liver fibrosis in rabbits. MATERIALS AND METHODS DCE-MRI with gadodiamide (Gd-DTPA-BMA) was performed on a 3.0 Tesla, 60 cm bore MR scanner for rabbits with CCl4 -induced liver fibrosis, and an untreated control group. Fibrosis was staged according to the METAVIR system: control (F0; n = 13), nonadvanced fibrosis (F1-2; n = 15), and advanced fibrosis (F3-4; n = 12). The DCE-MRI Parameters K(trans) , kep , Ve , and vp were measured with a dual-input extended Tofts model. Receiver operating characteristic analyses were performed to assess the diagnostic performance of K(trans) , Ve , and vp in staging liver fibrosis. RESULTS Both K(trans) and Ve decreased with increasing fibrosis stage. K(trans) of the control group was significantly different from that of the overall fibrosis group, nonadvanced group, and advanced group (P < 0.001 for all). Significant differences were found between Ve of the control group and that of the overall fibrosis and advanced groups (P = 0.019 and P = 0.009, respectively). For K(trans) , the areas under the receiver operating characteristic curve (AUROCs) for discriminating the control group from the overall fibrosis and advanced fibrosis groups were 0.909 (95% confidence interval [CI], 0.809-1.000), and 0.936 (95% CI,0.847-1.000), respectively. For discriminating between the control and nonadvanced fibrosis groups, the AUROC of K(trans) was 0.887 (95% CI, 0.762-1.000). The AUROCs of K(trans) were higher than those of Ve and vp for discriminating between the control and overall fibrosis groups, the control and nonadvanced fibrosis groups, and the control and advanced fibrosis groups. Pharmacokinetic Parameters were negatively correlated with fibrosis stage (K(trans) , rho = -0.668, P < 0.001; Ve , rho = -0.438, P = 0.005; vp , rho = -0.360, P = 0.023). CONCLUSION Among Pharmacokinetic Parameters of DCE-MRI in our study, K(trans) was an excellent predictor for differentiating fibrotic livers from normal livers, and differentiating normal livers from nonadvanced or advanced fibrosis livers. J. Magn. Reson. Imaging 2016;44:98-104.

Ahmed E Othman - One of the best experts on this subject based on the ideXlab platform.

  • comparison of different population averaged arterial input functions in dynamic contrast enhanced mri of the prostate effects on Pharmacokinetic Parameters and their diagnostic performance
    Magnetic Resonance Imaging, 2016
    Co-Authors: Ahmed E Othman, Florian Falkner, Petros Martirosian, Davidemanuel Kessler, Jakob Weiss, Stephan Kruck, Sascha Kaufmann, Robert Grimm, U Kramer, Konstantin Nikolaou
    Abstract:

    Abstract Purpose To assess the effect of different population-averaged arterial-input-functions (pAIF) on Pharmacokinetic Parameters from dynamic contrast-enhanced MRI (DCE-MRI) and their diagnostic accuracy regarding the detection of potentially malignant prostate lesions. Materials and methods 66 male patients (age 65.4 ± 10.8y) with suspected prostate cancer underwent multiparametric MRI of the prostate including T2-w, DWI-w and DCE-MRI sequences at a 3 T MRI scanner. All detected lesions were categorized based on ACR PI-RADS version 2 and divided into 2 groups (A: PI-RADS ≤ 3, n = 32; B: PI-RADS > 3, n = 34). In each DCE-MRI dataset, Pharmacokinetic Parameters (Ktrans, Kep and ve) and goodness of fit (chi2) were generated using the Tofts model with 3 different pAIFs (fast, intermediate, slow) as provided by a commercially available postprocessing software. Pharmacokinetic Parameters, their diagnostic accuracies and model fits were compared for the 3 pAIFs. Results Ktrans, Kep and ve differed significantly among the 3 pAIFs (all p  Conclusion Choosing various pAIF types causes a high variability in Pharmacokinetic parameter estimates. Therefore, it is of great importance to consider this as potential artifact and thus keep AIF type selection constant in DCE-MRI studies.

  • optimized fast dynamic contrast enhanced magnetic resonance imaging of the prostate effect of sampling duration on Pharmacokinetic Parameters
    Investigative Radiology, 2016
    Co-Authors: Ahmed E Othman, Florian Falkner, Petros Martirosian, Christina Schraml, Christian Schwentner, Dominik Nickel, Konstantin Nikolaou, Mike Notohamiprodjo
    Abstract:

    ObjectiveThe aim of this study was to evaluate the effect of sampling duration on Pharmacokinetic Parameters from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and their diagnostic accuracy regarding the detection of potentially malignant prostate lesions.Materials and MethodsSixt

Eirik Malinen - One of the best experts on this subject based on the ideXlab platform.

  • Pharmacokinetic Parameters derived from dynamic contrast enhanced mri of cervical cancers predict chemoradiotherapy outcome
    Radiotherapy and Oncology, 2012
    Co-Authors: Erlend K F Andersen, Knut Hakon Hole, Kjersti V Lund, Kolbein Sundfor, Gunnar B Kristensen, Heidi Lyng, Eirik Malinen
    Abstract:

    Abstract Purpose To assess the prognostic value of Pharmacokinetic Parameters derived from pre-chemoradiotherapy dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) of cervical cancer patients. Materials and methods Seventy-eight patients with locally advanced cervical cancer underwent DCE-MRI with Gd-DTPA before chemoradiotherapy. The Pharmacokinetic Brix and Tofts models were fitted to contrast enhancement curves in all tumor voxels, providing histograms of several Pharmacokinetic Parameters ( Brix : A Brix , k ep , k el , Tofts : K trans , ν e ). A percentile screening approach including log-rank survival tests was undertaken to identify the clinically most relevant part of the intratumoral parameter distribution. Clinical endpoints were progression-free survival (PFS) and locoregional control (LRC). Multivariate analysis including FIGO stage and tumor volume was used to assess the prognostic significance of the imaging Parameters. Results A Brix , k el , and K trans were significantly ( P ν e was significantly positively correlated with PFS only. k ep showed no association with any endpoint. A Brix was positively correlated with K trans and ν e , and showed the strongest association with endpoint in the log-rank testing. k el and K trans were independent prognostic factors in multivariate analysis with LRC as endpoint. Conclusions Parameters estimated by Pharmacokinetic analysis of DCE-MR images obtained prior to chemoradiotherapy may be used for identifying patients at risk of treatment failure.

Konstantin Nikolaou - One of the best experts on this subject based on the ideXlab platform.

  • comparison of different population averaged arterial input functions in dynamic contrast enhanced mri of the prostate effects on Pharmacokinetic Parameters and their diagnostic performance
    Magnetic Resonance Imaging, 2016
    Co-Authors: Ahmed E Othman, Florian Falkner, Petros Martirosian, Davidemanuel Kessler, Jakob Weiss, Stephan Kruck, Sascha Kaufmann, Robert Grimm, U Kramer, Konstantin Nikolaou
    Abstract:

    Abstract Purpose To assess the effect of different population-averaged arterial-input-functions (pAIF) on Pharmacokinetic Parameters from dynamic contrast-enhanced MRI (DCE-MRI) and their diagnostic accuracy regarding the detection of potentially malignant prostate lesions. Materials and methods 66 male patients (age 65.4 ± 10.8y) with suspected prostate cancer underwent multiparametric MRI of the prostate including T2-w, DWI-w and DCE-MRI sequences at a 3 T MRI scanner. All detected lesions were categorized based on ACR PI-RADS version 2 and divided into 2 groups (A: PI-RADS ≤ 3, n = 32; B: PI-RADS > 3, n = 34). In each DCE-MRI dataset, Pharmacokinetic Parameters (Ktrans, Kep and ve) and goodness of fit (chi2) were generated using the Tofts model with 3 different pAIFs (fast, intermediate, slow) as provided by a commercially available postprocessing software. Pharmacokinetic Parameters, their diagnostic accuracies and model fits were compared for the 3 pAIFs. Results Ktrans, Kep and ve differed significantly among the 3 pAIFs (all p  Conclusion Choosing various pAIF types causes a high variability in Pharmacokinetic parameter estimates. Therefore, it is of great importance to consider this as potential artifact and thus keep AIF type selection constant in DCE-MRI studies.

  • optimized fast dynamic contrast enhanced magnetic resonance imaging of the prostate effect of sampling duration on Pharmacokinetic Parameters
    Investigative Radiology, 2016
    Co-Authors: Ahmed E Othman, Florian Falkner, Petros Martirosian, Christina Schraml, Christian Schwentner, Dominik Nickel, Konstantin Nikolaou, Mike Notohamiprodjo
    Abstract:

    ObjectiveThe aim of this study was to evaluate the effect of sampling duration on Pharmacokinetic Parameters from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and their diagnostic accuracy regarding the detection of potentially malignant prostate lesions.Materials and MethodsSixt

Mike Notohamiprodjo - One of the best experts on this subject based on the ideXlab platform.

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