Literature DB >> 19253360

Comparison of model-based arterial input functions for dynamic contrast-enhanced MRI in tumor bearing rats.

Deirdre M McGrath1, Daniel P Bradley, Jean L Tessier, Tony Lacey, Chris J Taylor, Geoffrey J M Parker.   

Abstract

When using tracer kinetic modeling to analyze dynamic contrast-enhanced MRI (DCE-MRI) it is necessary to identify an appropriate arterial input function (AIF). The measured AIF is often poorly sampled in both clinical and preclinical MR systems due to the initial rapid increase in contrast agent concentration and the subsequent large-scale signal change that occurs in the arteries. However, little work has been carried out to quantify the sensitivity of tracer kinetic modeling parameters to the form of AIF. Using a preclinical experimental data set, we sought to measure the effect of varying model forms of AIF on the extended Kety compartmental model parameters (K(trans), v(e), and v(p)) through comparison with the results of experimentally acquired high temporal resolution AIFs. The AIF models examined have the potential to be parameterized on lower temporal resolution data to predict the form of the true, higher temporal resolution AIF. The models were also evaluated through application to the population average AIF. It was concluded that, in the instance of low temporal resolution or noisy data, it may be preferable to use a bi-exponential model applied to the raw data AIF, or when individual measurements are not available a bi-exponential model of the average AIF. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19253360     DOI: 10.1002/mrm.21959

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  37 in total

1.  Permeability assessment of the focused ultrasound-induced blood-brain barrier opening using dynamic contrast-enhanced MRI.

Authors:  F Vlachos; Y-S Tung; E E Konofagou
Journal:  Phys Med Biol       Date:  2010-08-25       Impact factor: 3.609

2.  Response of HT29 colorectal xenograft model to cediranib assessed with 18 F-fluoromisonidazole positron emission tomography, dynamic contrast-enhanced and diffusion-weighted MRI.

Authors:  Louisa Bokacheva; Khushali Kotedia; Megan Reese; Sally-Ann Ricketts; Jane Halliday; Carl H Le; Jason A Koutcher; Sean Carlin
Journal:  NMR Biomed       Date:  2012-07-08       Impact factor: 4.044

3.  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

4.  A quantitative comparison of the influence of individual versus population-derived vascular input functions on dynamic contrast enhanced-MRI in small animals.

Authors:  Mary E Loveless; Jane Halliday; Carsten Liess; Lei Xu; Richard D Dortch; Jennifer Whisenant; John C Waterton; John C Gore; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2011-06-17       Impact factor: 4.668

5.  A continuous-infusion dynamic MRI model at 3.0 Tesla for the serial quantitative evaluation of microvascular proliferation in an animal model of glioblastoma multiforme.

Authors:  Hunter R Underhill
Journal:  Magn Reson Med       Date:  2017-01-12       Impact factor: 4.668

Review 6.  The emerging potential of magnetic resonance imaging in personalizing radiotherapy for head and neck cancer: an oncologist's perspective.

Authors:  Kee H Wong; Rafal Panek; Shreerang A Bhide; Christopher M Nutting; Kevin J Harrington; Katie L Newbold
Journal:  Br J Radiol       Date:  2017-03       Impact factor: 3.039

7.  MRI evaluation of the effects of whole brain radiotherapy on breast cancer brain metastasis.

Authors:  William Crowe; Lulu Wang; Zhongwei Zhang; Jasmina Varagic; J Daniel Bourland; Michael D Chan; Amyn A Habib; Dawen Zhao
Journal:  Int J Radiat Biol       Date:  2019-01-07       Impact factor: 2.694

8.  A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.

Authors:  David A Hormuth; Jack T Skinner; Mark D Does; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2014-01-07       Impact factor: 2.546

9.  Assessing the reproducibility of dynamic contrast enhanced magnetic resonance imaging in a murine model of breast cancer.

Authors:  Stephanie L Barnes; Jennifer G Whisenant; Mary E Loveless; Gregory D Ayers; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2012-07-27       Impact factor: 4.668

10.  Three-dimensional dynamic contrast-enhanced MRI for the accurate, extensive quantification of microvascular permeability in atherosclerotic plaques.

Authors:  Claudia Calcagno; Mark E Lobatto; Hadrien Dyvorne; Philip M Robson; Antoine Millon; Max L Senders; Olivier Lairez; Sarayu Ramachandran; Bram F Coolen; Alexandra Black; Willem J M Mulder; Zahi A Fayad
Journal:  NMR Biomed       Date:  2015-08-30       Impact factor: 4.044

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