Literature DB >> 26989759

Bolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging.

Alireza Mehrtash1, Sandeep N Gupta2, Dattesh Shanbhag2, James V Miller2, Tina Kapur1, Fiona M Fennessy3, Ron Kikinis1, Andriy Fedorov1.   

Abstract

Matching the bolus arrival time (BAT) of the arterial input function (AIF) and tissue residue function (TRF) is necessary for accurate pharmacokinetic (PK) modeling of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). We investigated the sensitivity of volume transfer constant ([Formula: see text]) and extravascular extracellular volume fraction ([Formula: see text]) to BAT and compared the results of four automatic BAT measurement methods in characterization of prostate and breast cancers. Variation in delay between AIF and TRF resulted in a monotonous change trend of [Formula: see text] and [Formula: see text] values. The results of automatic BAT estimators for clinical data were all comparable except for one BAT estimation method. Our results indicate that inaccuracies in BAT measurement can lead to variability among DCE-MRI PK model parameters, diminish the quality of model fit, and produce fewer valid voxels in a region of interest. Although the selection of the BAT method did not affect the direction of change in the treatment assessment cohort, we suggest that BAT measurement methods must be used consistently in the course of longitudinal studies to control measurement variability.

Entities:  

Keywords:  Tofts model; bolus arrival time; dynamic contrast-enhanced magnetic resonance imaging; pharmacokinetic analysis; quantitative imaging; reproducibly

Year:  2016        PMID: 26989759      PMCID: PMC4773735          DOI: 10.1117/1.JMI.3.1.014503

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  39 in total

1.  Direct comparison of an intravascular and an extracellular contrast agent for quantification of myocardial perfusion. Cardiac MRI Group.

Authors:  M Jerosch-Herold; N Wilke; Y Wang; G R Gong; A M Mansoor; H Huang; S Gurchumelidze; A E Stillman
Journal:  Int J Card Imaging       Date:  1999-12

Review 2.  Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies.

Authors:  James P B O'Connor; Alan Jackson; Geoff J M Parker; Caleb Roberts; Gordon C Jayson
Journal:  Nat Rev Clin Oncol       Date:  2012-02-14       Impact factor: 66.675

Review 3.  Fundamentals of tracer kinetics for dynamic contrast-enhanced MRI.

Authors:  Tong San Koh; Sotirios Bisdas; Dow Mu Koh; Choon Hua Thng
Journal:  J Magn Reson Imaging       Date:  2011-10-03       Impact factor: 4.813

4.  Multiparametric imaging of tumor response to therapy.

Authors:  Anwar R Padhani; Kenneth A Miles
Journal:  Radiology       Date:  2010-08       Impact factor: 11.105

5.  Bayesian estimation of pharmacokinetic parameters for DCE-MRI with a robust treatment of enhancement onset time.

Authors:  Matthew R Orton; David J Collins; Simon Walker-Samuel; James A d'Arcy; David J Hawkes; David Atkinson; Martin O Leach
Journal:  Phys Med Biol       Date:  2007-04-10       Impact factor: 3.609

6.  Simultaneous correction for tracer arrival delay and dispersion in CBF measurements by the H215O autoradiographic method and dynamic PET.

Authors:  E Meyer
Journal:  J Nucl Med       Date:  1989-06       Impact factor: 10.057

7.  Reproducibility of dynamic contrast-enhanced MR imaging. Part I. Perfusion characteristics in the female pelvis by using multiple computer-aided diagnosis perfusion analysis solutions.

Authors:  Tobias Heye; Matthew S Davenport; Jeffrey J Horvath; Sebastian Feuerlein; Steven R Breault; Mustafa R Bashir; Elmar M Merkle; Daniel T Boll
Journal:  Radiology       Date:  2012-12-06       Impact factor: 11.105

8.  Temporal sampling requirements for the tracer kinetics modeling of breast disease.

Authors:  E Henderson; B K Rutt; T Y Lee
Journal:  Magn Reson Imaging       Date:  1998-11       Impact factor: 2.546

Review 9.  Multiparametric MRI of prostate cancer: an update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer.

Authors:  John V Hegde; Robert V Mulkern; Lawrence P Panych; Fiona M Fennessy; Andriy Fedorov; Stephan E Maier; Clare M C Tempany
Journal:  J Magn Reson Imaging       Date:  2013-05       Impact factor: 4.813

10.  The use of error-category mapping in pharmacokinetic model analysis of dynamic contrast-enhanced MRI data.

Authors:  Andrew B Gill; Gayathri Anandappa; Andrew J Patterson; Andrew N Priest; Martin J Graves; Tobias Janowitz; Duncan I Jodrell; Tim Eisen; David J Lomas
Journal:  Magn Reson Imaging       Date:  2014-11-07       Impact factor: 2.546

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  5 in total

1.  Selection of Fitting Model and Arterial Input Function for Repeatability in Dynamic Contrast-Enhanced Prostate MRI.

Authors:  Sharon Peled; Mark Vangel; Ron Kikinis; Clare M Tempany; Fiona M Fennessy; Andrey Fedorov
Journal:  Acad Radiol       Date:  2018-11-20       Impact factor: 3.173

2.  Vastly accelerated linear least-squares fitting with numerical optimization for dual-input delay-compensated quantitative liver perfusion mapping.

Authors:  Ramin Jafari; Shalini Chhabra; Martin R Prince; Yi Wang; Pascal Spincemaille
Journal:  Magn Reson Med       Date:  2017-08-22       Impact factor: 4.668

3.  Intravoxel Incoherent Motion Imaging on Sacroiliitis in Patients With Axial Spondyloarthritis: Correlation With Perfusion Characteristics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Authors:  Chang Guo; Kai Zheng; Qiang Ye; Zixiao Lu; Zhuoyao Xie; Xin Li; Yinghua Zhao
Journal:  Front Med (Lausanne)       Date:  2022-01-26

4.  Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer.

Authors:  Natsuko Onishi; Meredith Sadinski; Mary C Hughes; Eun Sook Ko; Peter Gibbs; Katherine M Gallagher; Maggie M Fung; Theodore J Hunt; Danny F Martinez; Amita Shukla-Dave; Elizabeth A Morris; Elizabeth J Sutton
Journal:  Breast Cancer Res       Date:  2020-05-28       Impact factor: 6.466

5.  Quantitative Imaging Informatics for Cancer Research.

Authors:  Andrey Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; David Clunie; Michael Onken; Jörg Riesmeier; Christian Herz; Christian Bauer; Andrew Beers; Jean-Christophe Fillion-Robin; Andras Lasso; Csaba Pinter; Steve Pieper; Marco Nolden; Klaus Maier-Hein; Markus D Herrmann; Joel Saltz; Fred Prior; Fiona Fennessy; John Buatti; Ron Kikinis
Journal:  JCO Clin Cancer Inform       Date:  2020-05
  5 in total

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