Literature DB >> 21432928

A comparative study of dynamic contrast-enhanced MRI parameters as biomarkers for anti-angiogenic drug therapy.

Tong San Koh1, Choon Hua Thng, Septian Hartono, Bee Choo Tai, Helmut Rumpel, Ai Bee Ong, Norita Sukri, Ross A Soo, Chuing Ing Wong, Albert S C Low, Rod A Humerickhouse, Boon Cher Goh.   

Abstract

The aim of the present study was to compare three tracer kinetics methods for the analysis of dynamic contrast-enhanced (DCE) MRI data, namely the generalized kinetics model, the distributed-parameter model and the initial area under the tumor tracer curve (IAUC) method, in a Phase I study of an anti-angiogenic drug ABT -869; and to explore their utility as biomarkers. Twenty-eight patients with a range of tumors formed the study population. DCE MRI performed at baseline and 2 weeks post-treatment was analyzed using all three methods, yielding percentage changes for various tracer kinetics parameters. Correlation analyzes were performed between these parameters and in relation to drug exposure. The association of these parameters with time-to-progression was examined using receiver-operating characteristic and Kaplan-Meier curves. Significant correlation with drug exposure was found for the following parameters: normalized IAUC (IAUC(norm)), fractional interstitial volume v(e), fractional intravascular volume v(1) and permeability PS. However, only v(e) and PS were effective in predicting late progression. A decrease in v(e) of more than 1.7% and a decrease in PS of more than 25.1% observed at 2 weeks post-treatment could be associated with late progression. All three tracer kinetics methods have biomarker potential for assessing the effects of anti-angiogenic therapy.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21432928     DOI: 10.1002/nbm.1680

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  6 in total

Review 1.  Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer.

Authors:  Michael Ingrisch; Steven Sourbron
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-04-06       Impact factor: 2.745

2.  Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model.

Authors:  Wei Zhang; Hui Juan Chen; Zhen J Wang; Wei Huang; Long Jiang Zhang
Journal:  Eur Radiol       Date:  2016-08-03       Impact factor: 5.315

Review 3.  Recent Advances in CT and MR Imaging for Evaluation of Hepatocellular Carcinoma.

Authors:  Jeong Min Lee; Jeong-Hee Yoon; Ijin Joo; Hyun Sik Woo
Journal:  Liver Cancer       Date:  2012-06       Impact factor: 11.740

4.  Dynamic contrast-enhanced MRI of malignant pleural mesothelioma: a comparative study of pharmacokinetic models and correlation with mRECIST criteria.

Authors:  Martina Vivoda Tomšič; Sotirios Bisdas; Viljem Kovač; Igor Serša; Katarina Šurlan Popovič
Journal:  Cancer Imaging       Date:  2019-02-27       Impact factor: 3.909

5.  Dynamic contrast-enhanced MRI in malignant pleural mesothelioma: prediction of outcome based on DCE-MRI measurements in patients undergoing cytotoxic chemotherapy.

Authors:  Martina Vivoda Tomšič; Peter Korošec; Viljem Kovač; Sotirios Bisdas; Katarina Šurlan Popovič
Journal:  BMC Cancer       Date:  2022-02-20       Impact factor: 4.430

6.  Phase Ib/II randomized, open-label study of doxorubicin and cyclophosphamide with or without low-dose, short-course sunitinib in the pre-operative treatment of breast cancer.

Authors:  Andrea L A Wong; Raghav Sundar; Ting-Ting Wang; Thian-C Ng; Bo Zhang; Sing-Huang Tan; Thomas I P Soh; Angela S L Pang; Chee-Seng Tan; Samuel G W Ow; Lingzhi Wang; Jannet Mogro; Jingshan Ho; Anand D Jeyasekharan; Yiqing Huang; Choon-Hua Thng; Ching-Wan Chan; Mikael Hartman; Philip Iau; Shaik A Buhari; Boon-Cher Goh; Soo-Chin Lee
Journal:  Oncotarget       Date:  2016-09-27
  6 in total

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