Pharmacokinetic parameters as a potential predictor of response to pharmacotherapy in benign prostatic hyperplasia: a preclinical trial using dynamic contrast-enhanced MRI

被引:7
|
作者
Jia, Guang
Heverhagen, Johannes T.
Henry, Hannes
Polzer, Hans
Baudendistel, Klaus T.
von Tengg-Kobligk, Hendrik
Levine, Andrea L.
Rosol, Thomas J.
Knopp, Michael V. [1 ]
机构
[1] Ohio State Univ, Dept Radiol, Columbus, OH 43210 USA
[2] Ohio State Univ, Dept Vet Biosci, Columbus, OH 43210 USA
关键词
DCE-MRI; pharmacokinetics; benign prostatic hyperplasia; animal model; Finasteride;
D O I
10.1016/j.mri.2005.12.029
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
We sought to assess the possibility of using pharmacokinetic parameters as a predictor of response to benign prostatic hyperplasia (BPH) pharmacotherapy via a randomized, placebo-controlled. annual preclinical trial using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Twelve male beagles with BPH were enrolled in a preclinical experimental drug trial and divided into two randomized groups with six beagles each: one drug (finasteride) group and one placebo (control) group. Two baseline MRI examinations and three follow-ups during treatment were performed on a clinical 1.5-T MRI system using, axial T1 - and T2-weighted magnetic resonance images for prostate volume measurement and DCE-MRI for the assessment of prostate microcirculation. A total of 0.2 mmol/kg body weight of the Gd-based contrast agent was administered with an injection rate of 0.2 ml/s. The pharmacokinetic parameters. maximum enhancement ratio (MER), transfer constant and rate constant. were assessed to characterize the microcirculation in the parenchymal zone. The time-signal intensity curve from the external iliac artery Was used as the arterial input function. The correlation between baseline evaluations (prostate volume and pharmacokinetic parameters) and therapy-induced prostate volume changes under finasteride treatment were assessed. The changes in prostate volume at the end of the trial exhibited a significant linear correlation to die initial parenchymal MER (P<.02) in the finasteride group. Larger prostate volume reductions coincided with smaller initial parenchymal MER. These findings show considerable promise of using parenchymal MER as a predictor of response to BPH pharmacotherapy with finasteride. (C) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:721 / 725
页数:5
相关论文
共 50 条
  • [31] Efficient estimation of pharmacokinetic parameters from breast dynamic contrast-enhanced MRI based on a convolutional neural network for predicting molecular subtypes
    Zhang, Liangliang
    Fan, Ming
    Li, Lihua
    PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (24)
  • [32] Improved Dynamic Contrast-Enhanced MRI Using Low Rank With Joint Sparsity
    Zhang, Jichang
    Najeeb, Faisal
    Wang, Xinpei
    Xu, Pengfei
    Omer, Hammad
    Zheng, Jianjun
    Zhang, Jingfeng
    Francis, Sue
    Glover, Paul
    Bowtell, Richard
    Wang, Chengbo
    IEEE ACCESS, 2022, 10 : 121193 - 121203
  • [33] R2* Relaxation Affects Pharmacokinetic Analysis of Dynamic Contrast-Enhanced MRI in Cancer and Underestimates Treatment Response at 7 T
    Kim, Jana
    Moestue, Siver A.
    Bathen, Tone F.
    Kim, Eugene
    TOMOGRAPHY, 2019, 5 (03) : 308 - 319
  • [34] Dynamic Contrast-enhanced MR Imaging in Renal Cell Carcinoma: Reproducibility of Histogram Analysis on Pharmacokinetic Parameters
    Wang, Hai-yi
    Su, Zi-hua
    Xu, Xiao
    Sun, Zhi-peng
    Duan, Fei-xue
    Song, Yuan-yuan
    Li, Lu
    Wang, Ying-wei
    Ma, Xin
    Guo, Ai-tao
    Ma, Lin
    Ye, Hui-yi
    SCIENTIFIC REPORTS, 2016, 6
  • [35] Characteristics of quantitative perfusion parameters on dynamic contrast-enhanced MRI in mammographically occult breast cancer
    Ryu, Jung Kyu
    Rhee, Sun Jung
    Song, Jeong Yoon
    Cho, Soo Hyun
    Jahng, Geon-Ho
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2016, 17 (05): : 377 - 390
  • [36] Dynamic contrast-enhanced MRI of gastric cancer: Correlation of the perfusion parameters with pathological prognostic factors
    Joo, Ijin
    Lee, Jeong Min
    Han, Joon Koo
    Yang, Han-Kwang
    Lee, Hyuk-Joon
    Choi, Byung Ihn
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2015, 41 (06) : 1608 - 1614
  • [37] Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas
    Nguyen, T. B.
    Cron, G. O.
    Bezzina, K.
    Perdrizet, K.
    Torres, C. H.
    Chakraborty, S.
    Woulfe, J.
    Jansen, G. H.
    Thornhill, R. E.
    Zanette, B.
    Cameron, I. G.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2016, 37 (12) : 2217 - 2223
  • [38] Effects of arterial input function selection on kinetic parameters in brain dynamic contrast-enhanced MRI
    Keil, Vera C.
    Maedler, Burkhard
    Gieseke, Juergen
    Fimmers, Rolf
    Hattingen, Elke
    Schild, Hans H.
    Hadizadeh, Dariusch R.
    MAGNETIC RESONANCE IMAGING, 2017, 40 : 83 - 90
  • [39] Dynamic Contrast-Enhanced MRI in Head-and-Neck Cancer: The Impact of Region of Interest Selection on the Intra- and Interpatient Variability of Pharmacokinetic Parameters
    Craciunescu, Oana I.
    Yoo, David S.
    Cleland, Esi
    Muradyan, Naira
    Carroll, Madeline D.
    MacFall, James R.
    Barboriak, Daniel P.
    Brizel, David M.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2012, 82 (03): : E345 - E350
  • [40] Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancer
    Golden, Daniel I.
    Lipson, Jafi A.
    Telli, Melinda L.
    Ford, James M.
    Rubin, Daniel L.
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2013, 20 (06) : 1059 - 1066