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Article

The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge

by
Wei Huang
1,*,
Yiyi Chen
1,
Andriy Fedorov
2,
Xia Li
3,
Guido H. Jajamovich
4,
Dariya I. Malyarenko
5,
Madhava P. Aryal
5,
Peter S. LaViolette
6,
Matthew J. Oborski
7,
Finbarr O'Sullivan
8,
Richard G. Abramson
9,
Kourosh Jafari-Khouzani
10,
Aneela Afzal
1,
Alina Tudorica
1,
Brendan Moloney
1,
Sandeep N. Gupta
3,
Cecilia Besa
4,
Jayashree Kalpathy-Cramer
10,
James M. Mountz
7,
Charles M. Laymon
7,
Mark Muzi
11,
Paul E. Kinahan
11,
Kathleen Schmainda
6,
Yue Cao
5,
Thomas L. Chenevert
5,
Bachir Taouli
4,
Thomas E. Yankeelov
9,
Fiona Fennessy
2 and
Xin Li
1,*add Show full author list remove Hide full author list
1
Oregon Health and Science University, Portland, OR, USA
2
Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
3
General Electric Global Research, Niskayuna, New York, NY, USA
4
Icahn School of Medicine at Mt Sinai, New York, NY, USA
5
University of Michigan, Ann Arbor, MI, USA
6
Medical College of Wisconsin, Milwaukee, WI, USA
7
University of Pittsburgh, Pittsburgh, PA, USA
8
University College, Cork, Ireland
9
Vanderbilt University, Nashville, TN, USA
10
Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
11
University of Washington, Seattle, Washington, DC, USA
 
add Show full affiliation list
 
remove Hide full affiliation list
*
Authors to whom correspondence should be addressed.
Tomography 2016, 2(1), 56-66; https://doi.org/10.18383/j.tom.2015.00184
Submission received: 2 December 2014 / Revised: 2 January 2016 / Accepted: 3 February 2016 / Published: 1 March 2016
Versions Notes

Abstract

Pharmacokinetic analysis of dynamic contrast-enhanced (DCE) MRI data allows estimation of quantitative imaging biomarkers such as Ktrans (rate constant for plasma/interstitium contrast reagent (CR) transfer) and ve (extravascular and extracellular volume fraction). However, the use of quantitative DCE-MRI in clinical practice is limited with uncertainty in arterial input function (AIF) determination being one of the primary reasons. In this multicenter study to assess the effects of AIF variations on pharmacokinetic parameter estimation, DCE-MRI data acquired at one center from 11 prostate cancer patients were shared among nine centers. Individual AIF from each data set was determined by each center and submitted to the managing center. These AIFs, along with a literature population averaged AIF, and their reference-tissue-adjusted variants were used by the managing center to perform pharmacokinetic data analysis using the Tofts model (TM). All other variables, including tumor region of interest (ROI) definition and pre-contrast T1, were kept constant to evaluate parameter variations caused solely by AIF discrepancies. Considerable parameter variations were observed with the within-subject coefficient of variation (wCV) of Ktrans obtained with unadjusted AIFs being as high as 0.74. AIF-caused variations were larger in Ktrans than ve and both were reduced when reference-tissue-adjusted AIFs were used. These variations were largely systematic, resulting in nearly unchanged parametric map patterns. The intravasation rate constant, kep (= Ktrans/ve), was less sensitive to AIF variation than Ktrans (wCV for unadjusted AIFs: 0.45 vs. 0.74), suggesting that it might be a more robust imaging biomarker of prostate microvasculature than Ktrans.
Keywords: DCE-MRI; Arterial Input Function; Prostate Cancer; Variation; Pharmacokinetic Analysis DCE-MRI; Arterial Input Function; Prostate Cancer; Variation; Pharmacokinetic Analysis

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MDPI and ACS Style

Huang, W.; Chen, Y.; Fedorov, A.; Li, X.; Jajamovich, G.H.; Malyarenko, D.I.; Aryal, M.P.; LaViolette, P.S.; Oborski, M.J.; O'Sullivan, F.; et al. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge. Tomography 2016, 2, 56-66. https://doi.org/10.18383/j.tom.2015.00184

AMA Style

Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, LaViolette PS, Oborski MJ, O'Sullivan F, et al. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge. Tomography. 2016; 2(1):56-66. https://doi.org/10.18383/j.tom.2015.00184

Chicago/Turabian Style

Huang, Wei, Yiyi Chen, Andriy Fedorov, Xia Li, Guido H. Jajamovich, Dariya I. Malyarenko, Madhava P. Aryal, Peter S. LaViolette, Matthew J. Oborski, Finbarr O'Sullivan, and et al. 2016. "The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge" Tomography 2, no. 1: 56-66. https://doi.org/10.18383/j.tom.2015.00184

APA Style

Huang, W., Chen, Y., Fedorov, A., Li, X., Jajamovich, G. H., Malyarenko, D. I., Aryal, M. P., LaViolette, P. S., Oborski, M. J., O'Sullivan, F., Abramson, R. G., Jafari-Khouzani, K., Afzal, A., Tudorica, A., Moloney, B., Gupta, S. N., Besa, C., Kalpathy-Cramer, J., Mountz, J. M., ... Li, X. (2016). The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge. Tomography, 2(1), 56-66. https://doi.org/10.18383/j.tom.2015.00184

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