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

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 d...

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Autores principales: Slavkova, Kalina P., DiCarlo, Julie C., Kazerouni, Anum S., Virostko, John, Sorace, Anna G., Patt, Debra, Goodgame, Boone, Yankeelov, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293327/
https://www.ncbi.nlm.nih.gov/pubmed/34201654
http://dx.doi.org/10.3390/tomography7030023
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author Slavkova, Kalina P.
DiCarlo, Julie C.
Kazerouni, Anum S.
Virostko, John
Sorace, Anna G.
Patt, Debra
Goodgame, Boone
Yankeelov, Thomas E.
author_facet Slavkova, Kalina P.
DiCarlo, Julie C.
Kazerouni, Anum S.
Virostko, John
Sorace, Anna G.
Patt, Debra
Goodgame, Boone
Yankeelov, Thomas E.
author_sort Slavkova, Kalina P.
collection PubMed
description 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, K(trans) (volume transfer constant) and v(e) (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 K(trans) 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.
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spelling pubmed-82933272021-07-22 Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer Slavkova, Kalina P. DiCarlo, Julie C. Kazerouni, Anum S. Virostko, John Sorace, Anna G. Patt, Debra Goodgame, Boone Yankeelov, Thomas E. Tomography Article 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, K(trans) (volume transfer constant) and v(e) (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 K(trans) 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. MDPI 2021-06-23 /pmc/articles/PMC8293327/ /pubmed/34201654 http://dx.doi.org/10.3390/tomography7030023 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Slavkova, Kalina P.
DiCarlo, Julie C.
Kazerouni, Anum S.
Virostko, John
Sorace, Anna G.
Patt, Debra
Goodgame, Boone
Yankeelov, Thomas E.
Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer
title Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer
title_full Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer
title_fullStr Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer
title_full_unstemmed Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer
title_short Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer
title_sort characterizing errors in pharmacokinetic parameters from analyzing quantitative abbreviated dce-mri data in breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293327/
https://www.ncbi.nlm.nih.gov/pubmed/34201654
http://dx.doi.org/10.3390/tomography7030023
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