Literature DB >> 11870911

Assessing changes in tumour vascular function using dynamic contrast-enhanced magnetic resonance imaging.

Carmel Hayes1, Anwar R Padhani, Martin O Leach.   

Abstract

Dynamic contrast-enhanced MRI (DCE-MRI) is widely used in the diagnosis and staging of cancer and is emerging as a promising method for monitoring tumour response to treatment. However, DCE-MR imaging techniques are still evolving and methods of image analysis remain variable and non-standard, and range from relative changes in the pattern of enhancement to pharmacokinetic modelling of contrast agent uptake. The combination of results from different institutions is therefore difficult and the sensitivities of different methods have not been compared. The purpose of this study is to investigate correlations between qualitative and quantitative methods of analysis for DCE-MR images from breast cancer patients undergoing neo-adjuvant chemotherapy. Fifteen patients underwent DCE-MRI examinations before and after one course of chemotherapy. Changes in the temporal pattern of signal enhancement, the rate and amplitude of enhancement and the volume transfer constant of contrast agent between the blood plasma and the extravascular extracellular space (EES), K(trans), and the EES fractional volume, nu(e), were determined. In addition, whole tumour region-of-interest analysis was compared with histogram analysis to investigate the extent of tumour heterogeneity. It was found that changes in the rate of enhancement correlated strongly with changes in K(trans) values (Kendall's tau = 0.68, P < 0.001). Furthermore, it was found that the shape of the signal enhancement curve only changed when the K(trans) values changed by 50% or more. Median K(trans) values determined following histogram analysis of pixel maps of K(trans) were approximately equal to those determined by whole tumour region-of-interest analysis. The absolute change in the K(trans) values correlated negatively with the pre-treatment values, particularly for responding patients. Thus, for higher pre-treatment K(trans) values, a greater decrease was observed. Greater changes were observed in the upper extremes of the K(trans) histogram than in the median values after one course of treatment. Copyright 2002 John Wiley & Sons, Ltd.

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Year:  2002        PMID: 11870911     DOI: 10.1002/nbm.756

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


  74 in total

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Review 3.  Hybrid PET-dynamic CECT in the management of breast cancer.

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7.  DCE-MRI time-intensity curve visual inspection to assess pathological response after neoadjuvant therapy in locally advanced rectal cancer.

Authors:  Antonella Petrillo; Roberta Fusco; Mario Petrillo; Vincenza Granata; Francesco Bianco; Massimiliano Di Marzo; Paolo Delrio; Fabiana Tatangelo; Gerardo Botti; Biagio Pecori; Antonio Avallone
Journal:  Jpn J Radiol       Date:  2018-07-23       Impact factor: 2.374

8.  A linear algorithm of the reference region model for DCE-MRI is robust and relaxes requirements for temporal resolution.

Authors:  Julio Cárdenas-Rodríguez; Christine M Howison; Mark D Pagel
Journal:  Magn Reson Imaging       Date:  2012-12-08       Impact factor: 2.546

9.  Amide proton transfer imaging of the breast at 3 T: establishing reproducibility and possible feasibility assessing chemotherapy response.

Authors:  Adrienne N Dula; Lori R Arlinghaus; Richard D Dortch; Blake E Dewey; Jennifer G Whisenant; Gregory D Ayers; Thomas E Yankeelov; Seth A Smith
Journal:  Magn Reson Med       Date:  2012-08-20       Impact factor: 4.668

10.  Mechanistic modelling of dynamic MRI data predicts that tumour heterogeneity decreases therapeutic response.

Authors:  R Venkatasubramanian; R B Arenas; M A Henson; N S Forbes
Journal:  Br J Cancer       Date:  2010-07-13       Impact factor: 7.640

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