PURPOSE: To compare in a group of patients with cerebral gliomas the estimates of Ktrans between a conventionally established pharmacokinetic model and a recently developed first pass method. MATERIALS AND METHODS: Glioma patients (23) were studied using T1-weighted dynamic contrast-enhanced magnetic resonance imaging (MRI), and two alternative pharmacokinetic models were used for analysis to derive the volume transfer constant Ktrans. These were a modified version of the established model (yielding KTK) and a recently published method based on first pass leakage profile (FP) of contrast bolus (yielding Kfp). RESULTS: We found a strong correlation between intra-tumoral median KTK and Kfp (rho = 0.650, P < 0.01), but the values from the conventional model were consistently and significantly higher (mean of inter-tumoral Kfp and KTK medians were 0.018 minute(-1) and 0.284 minute(-1), respectively, P < 0.001). The spatial distribution of KTK and Kfp showed poor correlation in the presence of large vascular structures and good correlation elsewhere. CONCLUSION: KTK and Kfp produce similar biologic information within voxels not dominated by vascular tissue. The FP method avoids erroneous overestimation of Ktrans in areas of significant intravascular contrast. Findings are in keeping with the predictions of previous mathematical simulations. Copyright 2004 Wiley-Liss, Inc.
PURPOSE: To compare in a group of patients with cerebral gliomas the estimates of Ktrans between a conventionally established pharmacokinetic model and a recently developed first pass method. MATERIALS AND METHODS:Gliomapatients (23) were studied using T1-weighted dynamic contrast-enhanced magnetic resonance imaging (MRI), and two alternative pharmacokinetic models were used for analysis to derive the volume transfer constant Ktrans. These were a modified version of the established model (yielding KTK) and a recently published method based on first pass leakage profile (FP) of contrast bolus (yielding Kfp). RESULTS: We found a strong correlation between intra-tumoral median KTK and Kfp (rho = 0.650, P < 0.01), but the values from the conventional model were consistently and significantly higher (mean of inter-tumoral Kfp and KTK medians were 0.018 minute(-1) and 0.284 minute(-1), respectively, P < 0.001). The spatial distribution of KTK and Kfp showed poor correlation in the presence of large vascular structures and good correlation elsewhere. CONCLUSION: KTK and Kfp produce similar biologic information within voxels not dominated by vascular tissue. The FP method avoids erroneous overestimation of Ktrans in areas of significant intravascular contrast. Findings are in keeping with the predictions of previous mathematical simulations. Copyright 2004 Wiley-Liss, Inc.
Authors: Roh-Eul Yoo; Seung Hong Choi; Byung-Mo Oh; Sang Do Shin; Eun Jung Lee; Dong Jae Shin; Sang Won Jo; Koung Mi Kang; Tae Jin Yun; Ji-Hoon Kim; Chul-Ho Sohn Journal: Eur Radiol Date: 2018-07-31 Impact factor: 5.315
Authors: Vera C Keil; Bogdan Pintea; Gerrit H Gielen; Susanne Greschus; Rolf Fimmers; Jürgen Gieseke; Matthias Simon; Hans H Schild; Dariusch R Hadizadeh Journal: J Neurooncol Date: 2017-04-19 Impact factor: 4.130
Authors: S C Jung; J A Yeom; J-H Kim; I Ryoo; S C Kim; H Shin; A L Lee; T J Yun; C-K Park; C-H Sohn; S-H Park; S H Choi Journal: AJNR Am J Neuroradiol Date: 2014-01-02 Impact factor: 3.825
Authors: Tufail F Patankar; Hamied A Haroon; Samantha J Mills; Danielle Balériaux; David L Buckley; Geoff J M Parker; Alan Jackson Journal: AJNR Am J Neuroradiol Date: 2005 Nov-Dec Impact factor: 3.825
Authors: Eric M Thompson; Daniel J Guillaume; Edit Dósa; Xin Li; Kellie J Nazemi; Seymur Gahramanov; Bronwyn E Hamilton; Edward A Neuwelt Journal: J Neurooncol Date: 2012-04-19 Impact factor: 4.130