Literature DB >> 9170043

Probing tumor microvascularity by measurement, analysis and display of contrast agent uptake kinetics.

G J Parker1, J Suckling, S F Tanner, A R Padhani, P B Revell, J E Husband, M O Leach.   

Abstract

This paper describes a measurement protocol for acquiring quantitative dynamic MRI data and novel analysis and display software (Magnetic Resonance Imaging Workbench (MRIW)). Proton density-weighted and T1-weighted two-dimensional gradient echo images are used to quantify tissue contrast agent concentration. The dynamic studies last approximately 7 minutes, with 10-second temporal resolution. Analyses of signal and concentration changes with time are performed, allowing capillary permeability-surface area product, tissue leakage space, enhancement onset time, mean enhancement gradient and maximum enhancement level to be mapped as false-color parametric overlays registered with anatomic images. Quantification of permeability and leakage space provides a method for comparing physiology in patients between visits or for intersite comparisons.

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Year:  1997        PMID: 9170043     DOI: 10.1002/jmri.1880070318

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  42 in total

1.  Differential microstructure and physiology of brain and bone metastases in a rat breast cancer model by diffusion and dynamic contrast enhanced MRI.

Authors:  Matthew D Budde; Eric Gold; E Kay Jordan; Joseph A Frank
Journal:  Clin Exp Metastasis       Date:  2011-11-01       Impact factor: 5.150

2.  Combined prostate diffusion tensor imaging and dynamic contrast enhanced MRI at 3T--quantitative correlation with biopsy.

Authors:  Piotr Kozlowski; Silvia D Chang; Ran Meng; Burkhard Mädler; Robert Bell; Edward C Jones; S Larry Goldenberg
Journal:  Magn Reson Imaging       Date:  2010-04-13       Impact factor: 2.546

3.  Evaluation of quantitative parametric analysis for characterization of breast lesions in contrast-enhanced MR mammography.

Authors:  E A M Hauth; H Jaeger; S Maderwald; C Stockamp; A Mühler; R Kimmig; M Forsting
Journal:  Eur Radiol       Date:  2006-07-29       Impact factor: 5.315

Review 4.  Imaging tumour angiogenesis.

Authors:  Tony Jeswani; Anwar R Padhani
Journal:  Cancer Imaging       Date:  2005-12-01       Impact factor: 3.909

5.  Dynamic breast MR imaging: is parametric mapping superior to image subtraction in lesion detection?

Authors:  Kathinka D Kurz; Hans-Jörg Wittsack; Reinhart Willers; Dirk Blondin; Ulrich Mödder; Andreas Saleh
Journal:  Eur Radiol       Date:  2007-06-16       Impact factor: 5.315

6.  Comparison between population average and experimentally measured arterial input function in predicting biopsy results in prostate cancer.

Authors:  Ran Meng; Silvia D Chang; Edward C Jones; S Larry Goldenberg; Piotr Kozlowski
Journal:  Acad Radiol       Date:  2010-01-13       Impact factor: 3.173

7.  A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.

Authors:  Nandinee Fariah Haq; Piotr Kozlowski; Edward C Jones; Silvia D Chang; S Larry Goldenberg; Mehdi Moradi
Journal:  Comput Med Imaging Graph       Date:  2014-07-05       Impact factor: 4.790

8.  Evaluation of the effect of transcytolemmal water exchange analysis for therapeutic response assessment using DCE-MRI: a comparison study.

Authors:  Chunhao Wang; Ergys Subashi; Xiao Liang; Fang-Fang Yin; Zheng Chang
Journal:  Phys Med Biol       Date:  2016-06-08       Impact factor: 3.609

9.  The role of magnetic resonance imaging (MRI) in prostate cancer imaging and staging at 1.5 and 3 Tesla: the Beth Israel Deaconess Medical Center (BIDMC) approach.

Authors:  B Nicolas Bloch; Robert E Lenkinski; Neil M Rofsky
Journal:  Cancer Biomark       Date:  2008       Impact factor: 4.388

10.  A new approach to analysis of the impulse response function (IRF) in dynamic contrast-enhanced MRI (DCEMRI): a simulation study.

Authors:  Xiaobing Fan; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2009-07       Impact factor: 4.668

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