Literature DB >> 11467863

Dynamic contrast-enhanced MRI studies in oncology with an emphasis on quantification, validation and human studies.

A R Padhani1, J E Husband.   

Abstract

Magnetic resonance imaging (MRI), after the administration of an extracellular, gadolinium-based contrast medium, can be used to detect and characterize human tumours. The success of dynamic contrast-enhanced MRI (DCE-MRI) is dependent on its ability to demonstrate intrinsic differences between a variety of tissues that affect contrast medium behaviour. Evidence is mounting that DCE-MRI measurements correlate with immunohistochemical surrogates of tumour angiogenesis. DCE-MRI can monitor the effectiveness of a variety of treatments including chemotherapy, hormonal manipulation, radiotherapy and novel therapeutic approaches including antiangiogenic drugs. Kinetic parameters in the treatment setting have been correlated with histopathological outcome and patient survival. This article reviews quantification analysis of these studies together with current and future clinical applications.

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Year:  2001        PMID: 11467863     DOI: 10.1053/crad.2001.0762

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  44 in total

1.  The role of magnetic resonance imaging in oncology.

Authors:  Concepción González Hernando; Laura Esteban; Teresa Cañas; Enrique Van den Brule; Miguel Pastrana
Journal:  Clin Transl Oncol       Date:  2010-09       Impact factor: 3.405

Review 2.  Leveraging the power of ultrasound for therapeutic design and optimization.

Authors:  Charles F Caskey; Xiaowen Hu; Katherine W Ferrara
Journal:  J Control Release       Date:  2011-07-30       Impact factor: 9.776

3.  Blood oxygen level dependent angiography (BOLDangio) and its potential applications in cancer research.

Authors:  Kejia Cai; Adam Shore; Anup Singh; Mohammad Haris; Teruyuki Hiraki; Prianka Waghray; Damodar Reddy; Joel H Greenberg; Ravinder Reddy
Journal:  NMR Biomed       Date:  2012-02-02       Impact factor: 4.044

4.  Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer.

Authors:  Jacobus Fa Jansen; Yonggang Lu; Gaorav Gupta; Nancy Y Lee; Hilda E Stambuk; Yousef Mazaheri; Joseph O Deasy; Amita Shukla-Dave
Journal:  World J Radiol       Date:  2016-01-28

5.  Using semi-quantitative dynamic contrast-enhanced magnetic resonance imaging parameters to evaluate tumor hypoxia: a preclinical feasibility study in a maxillofacial VX2 rabbit model.

Authors:  Linfeng Zheng; Yujie Li; Feng Geng; Sujuan Zheng; Ruiling Yan; Yuedong Han; Qiben Wang; Zhuoli Zhang; Guixiang Zhang
Journal:  Am J Transl Res       Date:  2015-03-15       Impact factor: 4.060

6.  Anti-angiogenic Effects of Bumetanide Revealed by DCE-MRI with a Biodegradable Macromolecular Contrast Agent in a Colon Cancer Model.

Authors:  Anthony S Malamas; Erlei Jin; Qi Zhang; John Haaga; Zheng-Rong Lu
Journal:  Pharm Res       Date:  2015-04-04       Impact factor: 4.200

7.  Automation of pattern recognition analysis of dynamic contrast-enhanced MRI data to characterize intratumoral vascular heterogeneity.

Authors:  SoHyun Han; Radka Stoyanova; Hansol Lee; Sean D Carlin; Jason A Koutcher; HyungJoon Cho; Ellen Ackerstaff
Journal:  Magn Reson Med       Date:  2017-07-20       Impact factor: 4.668

8.  Validation of dynamic contrast-enhanced magnetic resonance imaging-derived vascular permeability measurements using quantitative autoradiography in the RG2 rat brain tumor model.

Authors:  Moira C Ferrier; Hemant Sarin; Steve H Fung; Bawarjan Schatlo; Ryszard M Pluta; Sandeep N Gupta; Peter L Choyke; Edward H Oldfield; David Thomasson; John A Butman
Journal:  Neoplasia       Date:  2007-07       Impact factor: 5.715

9.  Mapping Tumor Hypoxia In Vivo Using Pattern Recognition of Dynamic Contrast-enhanced MRI Data.

Authors:  Radka Stoyanova; Kris Huang; Kiri Sandler; Hyungjoon Cho; Sean Carlin; Pat B Zanzonico; Jason A Koutcher; Ellen Ackerstaff
Journal:  Transl Oncol       Date:  2012-12-01       Impact factor: 4.243

10.  Magnetic resonance imaging in central nervous system tuberculosis.

Authors:  Richa Trivedi; Sona Saksena; Rakesh K Gupta
Journal:  Indian J Radiol Imaging       Date:  2009 Oct-Dec
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