Literature DB >> 15214540

The effects of renal variation upon measurements of perfusion and leakage volume in breast tumours.

T S Ahearn1, R T Staff, T W Redpath, S I K Semple.   

Abstract

Dynamic contrast enhanced MRI (DCE-MRI) and pharmacokinetic models have been used to measure tumour permeability (K(trans)) and leakage volume (ve) in numerous studies. The construction of pharmacokinetic models describing such tissue properties relies on defining the blood plasma concentration of contrast agent with respect to time (Cp(t)). When direct measurement is not possible a bi-exponential decay has been applied using data from healthy volunteers. This work investigates, by simulation, the magnitude of errors resulting from this definition with respect to normal variation in renal function and for cases with renal impairment. Errors up to 23% in ve and 28% in K(trans) were found for the normal simulations, and 67% in ve and 61% in K(trans) for the impaired simulations. If this bi-exponential curve is used as an input function to the generalized kinetic model and used in oncology, estimates of tissue permeability and leakage volume will possess large errors due to variation in Cp(t) curves between subjects.

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Year:  2004        PMID: 15214540     DOI: 10.1088/0031-9155/49/10/014

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

1.  A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation.

Authors:  Andriy Fedorov; Jacob Fluckiger; Gregory D Ayers; Xia Li; Sandeep N Gupta; Clare Tempany; Robert Mulkern; Thomas E Yankeelov; Fiona M Fennessy
Journal:  Magn Reson Imaging       Date:  2014-01-21       Impact factor: 2.546

2.  A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: I. Simulations.

Authors:  Matthias C Schabel; Jacob U Fluckiger; Edward V R DiBella
Journal:  Phys Med Biol       Date:  2010-08-03       Impact factor: 3.609

3.  Dynamic contrast-enhanced magnetic resonance imaging in prostate cancer clinical trials: potential roles and possible pitfalls.

Authors:  Fiona M Fennessy; Rana R McKay; Clair J Beard; Mary-Ellen Taplin; Clare M Tempany
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

4.  Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3T: comparison of two arterial input functions on cancer detection with digitized whole mount histopathological validation.

Authors:  Fiona M Fennessy; Andriy Fedorov; Tobias Penzkofer; Kyung Won Kim; Michelle S Hirsch; Mark G Vangel; Paul Masry; Trevor A Flood; Ming-Ching Chang; Clare M Tempany; Robert V Mulkern; Sandeep N Gupta
Journal:  Magn Reson Imaging       Date:  2015-02-14       Impact factor: 2.546

5.  Correction of arterial input function in dynamic contrast-enhanced MRI of the liver.

Authors:  Hesheng Wang; Yue Cao
Journal:  J Magn Reson Imaging       Date:  2012-03-05       Impact factor: 4.813

6.  Correlations between intravoxel incoherent motion diffusion-weighted MR imaging parameters and 18F-FDG PET/CT metabolic parameters in patients with vertebral bone metastases: initial experience.

Authors:  Sunghoon Park; Joon-Kee Yoon; Nam-Su Chung; Sang Hyun Kim; Jinwoo Hwang; Hyun Young Lee; Kyu-Sung Kwack
Journal:  Br J Radiol       Date:  2018-03-20       Impact factor: 3.039

7.  Automated registration of sequential breath-hold dynamic contrast-enhanced MR images: a comparison of three techniques.

Authors:  Sivaramakrishnan Rajaraman; Jeffrey J Rodriguez; Christian Graff; Maria I Altbach; Tomislav Dragovich; Claude B Sirlin; Ronald L Korn; Natarajan Raghunand
Journal:  Magn Reson Imaging       Date:  2011-04-29       Impact factor: 2.546

8.  The Added Prognostic Value of Preoperative Dynamic Contrast-Enhanced MRI Histogram Analysis in Patients with Glioblastoma: Analysis of Overall and Progression-Free Survival.

Authors:  Y S Choi; D W Kim; S-K Lee; J H Chang; S-G Kang; E H Kim; S H Kim; T H Rim; S S Ahn
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-03       Impact factor: 3.825

  8 in total

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