Literature DB >> 16986117

MR in oncology drug development.

Susan M Galbraith1.   

Abstract

This article reviews the use of MR in preclinical and clinical experiments to aid drug development. In particular it concentrates on the use of MR to study tumor microvasculature following treatment with anti-vascular agents and the use of MRS to study tumor metabolism following treatment with a variety of anti-cancer agents. The advantages and disadvantages of a variety of techniques including contrast- and noncontrast-enhanced methods are discussed and the data from clinical trials using these techniques are reviewed. Despite the consensus documents produced to date for both dynamic contrast-enhanced MRI and MRS, most of the trials reported used alternative methods, and different nomenclature for the MR parameters used. This continues to inhibit the comparison between novel therapeutics and between different trials with the same compound. Comprehensive data from multicenter trials on the reproducibility of techniques is still lacking in the literature and the implications of the available data on clinical trial design is also discussed. Copyright 2006 John Wiley & Sons, Ltd.

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Mesh:

Year:  2006        PMID: 16986117     DOI: 10.1002/nbm.1093

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


  9 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.  Translational imaging endpoints to predict treatment response to novel targeted anticancer agents.

Authors:  Natalie J Serkova
Journal:  Drug Resist Updat       Date:  2011-06-02       Impact factor: 18.500

3.  Use of nuclear magnetic resonance-based metabolomics in detecting drug resistance in cancer.

Authors:  Andrea L Merz; Natalie J Serkova
Journal:  Biomark Med       Date:  2009-06-01       Impact factor: 2.851

Review 4.  Applications of molecular MRI and optical imaging in cancer.

Authors:  Marie-France Penet; Maria Mikhaylova; Cong Li; Balaji Krishnamachary; Kristine Glunde; Arvind P Pathak; Zaver M Bhujwalla
Journal:  Future Med Chem       Date:  2010-06       Impact factor: 3.808

5.  Advanced MRI: translation from animal to human in brain tumor research.

Authors:  Bradford A Moffat; Craig J Galbán; Alnawaz Rehemtulla
Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

6.  Noninvasive magnetic resonance spectroscopic pharmacodynamic markers of a novel histone deacetylase inhibitor, LAQ824, in human colon carcinoma cells and xenografts.

Authors:  Yuen-Li Chung; Helen Troy; Rebecca Kristeleit; Wynne Aherne; L Elizabeth Jackson; Peter Atadja; John R Griffiths; Ian R Judson; Paul Workman; Martin O Leach; Mounia Beloueche-Babari
Journal:  Neoplasia       Date:  2008-04       Impact factor: 5.715

7.  The magnetic resonance shutter speed discriminates vascular properties of malignant and benign breast tumors in vivo.

Authors:  Wei Huang; Xin Li; Elizabeth A Morris; Luminita A Tudorica; Venkatraman E Seshan; William D Rooney; Ian Tagge; Ya Wang; Jingang Xu; Charles S Springer
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-12       Impact factor: 11.205

8.  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

9.  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

  9 in total

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