Literature DB >> 17266569

Contrast agents and applications to assess tumor angiogenesis in vivo by magnetic resonance imaging.

F Kiessling1, B Morgenstern, C Zhang.   

Abstract

Angiogenesis plays a key role in the development of cancer and is precondition for tumor growth, invasion and spread. Therefore, numerous angiogenesis inhibitors have been developed, of which some show potential to defeat cancer in preclinical and clinical trials. However, response to antiangiogenic treatments is often delayed and marked by high interindividual variability making a closely mashed and efficient observation of the patient necessary. Therefore, surrogate markers which specifically catch early response to tumor therapy are highly desirable. Functional parameters like relative blood volume, perfusion and vessel permeability can be assessed using T(1) and T(2)*-weighted dynamic contrast-enhanced (DCE) MRI. Various reports are available on this topic but results are controversial. During antiangiogenic therapies some authors describe pronounced changes in blood volume: others find effects only on vessel permeability or perfusion. These conflictive observations can be attributed to the different tumor models, therapies, measurement techniques and contrast agents (CA). Particularly the choice of the optimal CA is considered to be essential for a successful characterization of tumor angiogenesis. Often therapy effects on vessel permeability only become apparent, when blood pool CA are used. This article reviews the current state of DCE and molecular MRI of angiogenesis. Besides a general introduction of the different measurement and postprocessing methods and its previous applications, design, structure and use of different types of CA are the main focus of this article.

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Year:  2007        PMID: 17266569     DOI: 10.2174/092986707779313516

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  27 in total

1.  Incorporating a vascular term into a reference region model for the analysis of DCE-MRI data: a simulation study.

Authors:  A Z Faranesh; T E Yankeelov
Journal:  Phys Med Biol       Date:  2008-04-25       Impact factor: 3.609

2.  Self-assembling nanoprobes that display off/on 19F nuclear magnetic resonance signals for protein detection and imaging.

Authors:  Yousuke Takaoka; Takashi Sakamoto; Shinya Tsukiji; Michiko Narazaki; Tetsuya Matsuda; Hidehito Tochio; Masahiro Shirakawa; Itaru Hamachi
Journal:  Nat Chem       Date:  2009-09-23       Impact factor: 24.427

Review 3.  Dendrimer nanoscaffolds for potential theranostics of prostate cancer with a focus on radiochemistry.

Authors:  Su-Tang Lo; Amit Kumar; Jer-Tsong Hsieh; Xiankai Sun
Journal:  Mol Pharm       Date:  2013-01-24       Impact factor: 4.939

4.  Dynamic contrast-enhanced magnetic resonance imaging pharmacodynamic biomarker study of sorafenib in metastatic renal carcinoma.

Authors:  Olwen M Hahn; Cheng Yang; Milica Medved; Gregory Karczmar; Emily Kistner; Theodore Karrison; Elizabeth Manchen; Myrosia Mitchell; Mark J Ratain; Walter M Stadler
Journal:  J Clin Oncol       Date:  2008-10-01       Impact factor: 44.544

5.  Increase in tumour permeability following TGF-beta type I receptor-inhibitor treatment observed by dynamic contrast-enhanced MRI.

Authors:  T Minowa; K Kawano; H Kuribayashi; K Shiraishi; T Sugino; Y Hattori; M Yokoyama; Y Maitani
Journal:  Br J Cancer       Date:  2009-11-03       Impact factor: 7.640

Review 6.  Paramagnetic and fluorescent liposomes for target-specific imaging and therapy of tumor angiogenesis.

Authors:  Gustav J Strijkers; Ewelina Kluza; Geralda A F Van Tilborg; Daisy W J van der Schaft; Arjan W Griffioen; Willem J M Mulder; Klaas Nicolay
Journal:  Angiogenesis       Date:  2010-06       Impact factor: 9.596

7.  Use of cardiac output to improve measurement of input function in quantitative dynamic contrast-enhanced MRI.

Authors:  Jeff L Zhang; Henry Rusinek; Louisa Bokacheva; Qun Chen; Pippa Storey; Vivian S Lee
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

8.  Molecular MR imaging of neovascular progression in the Vx2 tumor with αvβ3-targeted paramagnetic nanoparticles.

Authors:  Anne H Schmieder; Patrick M Winter; Todd A Williams; John S Allen; Grace Hu; Huiying Zhang; Shelton D Caruthers; Samuel A Wickline; Gregory M Lanza
Journal:  Radiology       Date:  2013-06-14       Impact factor: 11.105

9.  The parametric response map is an imaging biomarker for early cancer treatment outcome.

Authors:  Craig J Galbán; Thomas L Chenevert; Charles R Meyer; Christina Tsien; Theodore S Lawrence; Daniel A Hamstra; Larry Junck; Pia C Sundgren; Timothy D Johnson; David J Ross; Alnawaz Rehemtulla; Brian D Ross
Journal:  Nat Med       Date:  2009-04-19       Impact factor: 53.440

Review 10.  Clinical biomarkers of angiogenesis inhibition.

Authors:  Aaron P Brown; Deborah E Citrin; Kevin A Camphausen
Journal:  Cancer Metastasis Rev       Date:  2008-09       Impact factor: 9.264

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