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Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer

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Department of Physics, The University of Texas at Austin, Austin, TX 78712, USA
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Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA
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Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA
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Department of Radiology, The University of Washington, Seattle, WA 98195, USA
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Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX 78712, USA
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Department of Radiology, The University of Alabama at Birmingham, Birmingham, AL 35294, USA
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Department of Biomedical Engineering, The University of Alabama at Birmingham, Birmingham, AL 35294, USA
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O’Neal Comprehensive Cancer Center, The University of Alabama at Birmingham, Birmingham, AL 35294, USA
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Texas Oncology, Austin, TX 78731, USA
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Seton Hospital, Austin, TX 78712, USA
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Department of Internal Medicine, The University of Texas at Austin, Austin, TX 78712, USA
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Department of Imaging Physics, The University of Texas MD Anderson Cancer Center Houston, Houston, TX 77030, USA
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Department of Oncology, The University of Texas at Austin, Austin, TX 78712, USA
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Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, Stop C0800, Austin, TX 787812, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Brian D. Ross
Tomography 2021, 7(3), 253-267; https://doi.org/10.3390/tomography7030023
Received: 22 March 2021 / Revised: 15 June 2021 / Accepted: 21 June 2021 / Published: 23 June 2021
This study characterizes the error that results when performing quantitative analysis of abbreviated dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data of the breast with the Standard Kety–Tofts (SKT) model and its Patlak variant. More specifically, we used simulations and patient data to determine the accuracy with which abbreviated time course data could reproduce the pharmacokinetic parameters, Ktrans (volume transfer constant) and ve (extravascular/extracellular volume fraction), when compared to the full time course data. SKT analysis of simulated abbreviated time courses (ATCs) based on the imaging parameters from two available datasets (collected with a 3T MRI scanner) at a temporal resolution of 15 s (N = 15) and 7.23 s (N = 15) found a concordance correlation coefficient (CCC) greater than 0.80 for ATCs of length 3.0 and 2.5 min, respectively, for the Ktrans parameter. Analysis of the experimental data found that at least 90% of patients met this CCC cut-off of 0.80 for the ATCs of the aforementioned lengths. Patlak analysis of experimental data found that 80% of patients from the 15 s resolution dataset and 90% of patients from the 7.27 s resolution dataset met the 0.80 CCC cut-off for ATC lengths of 1.25 and 1.09 min, respectively. This study provides evidence for both the feasibility and potential utility of performing a quantitative analysis of abbreviated breast DCE-MRI in conjunction with acquisition of current standard-of-care high resolution scans without significant loss of information in the community setting. View Full-Text
Keywords: Patlak; Kety–Tofts; dynamic contrast-enhanced MRI; abbreviated breast MRI; quantitative MRI Patlak; Kety–Tofts; dynamic contrast-enhanced MRI; abbreviated breast MRI; quantitative MRI
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MDPI and ACS Style

Slavkova, K.P.; DiCarlo, J.C.; Kazerouni, A.S.; Virostko, J.; Sorace, A.G.; Patt, D.; Goodgame, B.; Yankeelov, T.E. Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer. Tomography 2021, 7, 253-267. https://doi.org/10.3390/tomography7030023

AMA Style

Slavkova KP, DiCarlo JC, Kazerouni AS, Virostko J, Sorace AG, Patt D, Goodgame B, Yankeelov TE. Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer. Tomography. 2021; 7(3):253-267. https://doi.org/10.3390/tomography7030023

Chicago/Turabian Style

Slavkova, Kalina P., Julie C. DiCarlo, Anum S. Kazerouni, John Virostko, Anna G. Sorace, Debra Patt, Boone Goodgame, and Thomas E. Yankeelov 2021. "Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer" Tomography 7, no. 3: 253-267. https://doi.org/10.3390/tomography7030023

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