Literature DB >> 20381276

Contrast enhanced MR imaging of female pelvic cancers: established methods and emerging applications.

Shonit Punwani1.   

Abstract

Contrast enhanced magnetic resonance imaging of female pelvic cancers has been established for over 20 years. Conventional contrast enhanced imaging involves acquiring a set of pre-contrast T1 weighted images, followed by intravenous injection of an gadolinium based contrast agent and subsequent acquisition of a second set of contrast enhanced images. Developments in MR hardware and pulse sequences over the last 10 years have made dynamic contrast enhanced (DCE) protocols possible. DCE-MRI entails imaging of the same volume repeatedly prior to, during and following contrast injection. There have also been developments in image analysis methods and tools to reflect the increased data acquired. Qualitative analysis of contrast enhanced imaging (whether a single set or temporal series) by radiologists remains the mainstay for clinical reporting. Semi-quantitative assessment of signal intensity versus time curves and full pharmacokinetic modelling methods have emerged for evaluation of DCE-MRI data. DCE-MRI has found an established role in the detection, localisation and staging of female pelvic malignancies. Emerging applications of DCE-MRI include assessment of tumour grade, histology prior to and following treatment and prediction of individual and final treatment outcome. This article reviews the biophysical basis of contrast enhancement, the technical aspects of performance and analysis of DCE-MRI studies, and the established and emerging clinical utility of DCE-MRI in female pelvic malignancies.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20381276     DOI: 10.1016/j.ejrad.2010.03.010

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  Endometrial cancer: diagnostic value of quantitative measurements of microvascular changes with DCE-MR imaging.

Authors:  Davide Ippolito; Orazio Minutolo; Anna Cadonici; Cammillo Talei Franzesi; Pietro Bonaffini; Patrizia Perego; Sandro Sironi
Journal:  MAGMA       Date:  2014-03-15       Impact factor: 2.310

Review 2.  Diffusion-weighted imaging and dynamic contrast-enhanced MRI in assessing response and recurrent disease in gynaecological malignancies.

Authors:  Ayshea Hameeduddin; Anju Sahdev
Journal:  Cancer Imaging       Date:  2015-03-15       Impact factor: 3.909

3.  Establishment of a lung metastatic breast tumor xenograft model in nude rats.

Authors:  Joris Tchouala Nofiele; Hai-Ling Margaret Cheng
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

  3 in total

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