Estimating the arterial input function from dynamic contrast-enhanced MRI data with compensation for flow enhancement (II): Applications in spine diagnostics and assessment of crohn's disease

Jeroen J.N. van Schie, Cristina Lavini, Lucas J. van Vliet, Gem Kramer, Indra Pieters - van den Bos, J. T. Marcus, Jaap Stoker, Frans M. Vos

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Pharmacokinetic (PK) models can describe microvascular density and integrity. An essential component of PK models is the arterial input function (AIF) representing the time-dependent concentration of contrast agent (CA) in the blood plasma supplied to a tissue. Purpose/Hypothesis: To evaluate a novel method for subject-specific AIF estimation that takes inflow effects into account. Study Type: Retrospective study. Subjects: Thirteen clinical patients referred for spine-related complaints; 21 patients from a study into luminal Crohn's disease with known Crohn's Disease Endoscopic Index of Severity (CDEIS). Field Strength/Sequence: Dynamic fast spoiled gradient echo (FSPGR) at 3T. Assessment: A population-averaged AIF, AIFs derived from distally placed regions of interest (ROIs), and the new AIF method were applied. Tofts' PK model parameters (including vp and Ktrans) obtained with the three AIFs were compared. In the Crohn's patients Ktrans was correlated to CDEIS. Statistical Tests: The median values of the PK model parameters from the three methods were compared using a Mann-Whitney U-test. The associated variances were statistically assessed by the Brown-Forsythe test. Spearman's rank correlation coefficient was computed to test the correlation of Ktrans to CDEIS. Results: The median vp was significantly larger when using the distal ROI approach, compared to the two other methods (P < 0.05 for both comparisons, in both applications). Also, the variances in vp were significantly larger with the ROI approach (P < 0.05 for all comparisons). In the Crohn's disease study, the estimated Ktrans parameter correlated better with the CDEIS (r=0.733, P < 0.001) when the proposed AIF was used, compared to AIFs from the distal ROI method (r=0.429, P=0.067) or the population-averaged AIF (r=0.567, P=0.011). Data Conclusion: The proposed method yielded realistic PK model parameters and improved the correlation of the Ktrans parameter with CDEIS, compared to existing approaches.

LanguageEnglish
Pages1197-1204
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Volume47
Issue number5
DOIs
Publication statusPublished - May 2018

Cite this

@article{9297463bd5524770a0d2b9b8900258dc,
title = "Estimating the arterial input function from dynamic contrast-enhanced MRI data with compensation for flow enhancement (II): Applications in spine diagnostics and assessment of crohn's disease",
abstract = "Background: Pharmacokinetic (PK) models can describe microvascular density and integrity. An essential component of PK models is the arterial input function (AIF) representing the time-dependent concentration of contrast agent (CA) in the blood plasma supplied to a tissue. Purpose/Hypothesis: To evaluate a novel method for subject-specific AIF estimation that takes inflow effects into account. Study Type: Retrospective study. Subjects: Thirteen clinical patients referred for spine-related complaints; 21 patients from a study into luminal Crohn's disease with known Crohn's Disease Endoscopic Index of Severity (CDEIS). Field Strength/Sequence: Dynamic fast spoiled gradient echo (FSPGR) at 3T. Assessment: A population-averaged AIF, AIFs derived from distally placed regions of interest (ROIs), and the new AIF method were applied. Tofts' PK model parameters (including vp and Ktrans) obtained with the three AIFs were compared. In the Crohn's patients Ktrans was correlated to CDEIS. Statistical Tests: The median values of the PK model parameters from the three methods were compared using a Mann-Whitney U-test. The associated variances were statistically assessed by the Brown-Forsythe test. Spearman's rank correlation coefficient was computed to test the correlation of Ktrans to CDEIS. Results: The median vp was significantly larger when using the distal ROI approach, compared to the two other methods (P < 0.05 for both comparisons, in both applications). Also, the variances in vp were significantly larger with the ROI approach (P < 0.05 for all comparisons). In the Crohn's disease study, the estimated Ktrans parameter correlated better with the CDEIS (r=0.733, P < 0.001) when the proposed AIF was used, compared to AIFs from the distal ROI method (r=0.429, P=0.067) or the population-averaged AIF (r=0.567, P=0.011). Data Conclusion: The proposed method yielded realistic PK model parameters and improved the correlation of the Ktrans parameter with CDEIS, compared to existing approaches.",
keywords = "Arterial input function, Dynamic contrast enhanced MRI, Flow enhancement, Pharmacokinetic modeling",
author = "{van Schie}, {Jeroen J.N.} and Cristina Lavini and {van Vliet}, {Lucas J.} and Gem Kramer and {Pieters - van den Bos}, Indra and Marcus, {J. T.} and Jaap Stoker and Vos, {Frans M.}",
year = "2018",
month = "5",
doi = "10.1002/jmri.25905",
language = "English",
volume = "47",
pages = "1197--1204",
journal = "Journal of magnetic resonance imaging : JMRI",
issn = "1053-1807",
number = "5",

}

Estimating the arterial input function from dynamic contrast-enhanced MRI data with compensation for flow enhancement (II) : Applications in spine diagnostics and assessment of crohn's disease. / van Schie, Jeroen J.N.; Lavini, Cristina; van Vliet, Lucas J.; Kramer, Gem; Pieters - van den Bos, Indra; Marcus, J. T.; Stoker, Jaap; Vos, Frans M.

In: Journal of Magnetic Resonance Imaging, Vol. 47, No. 5, 05.2018, p. 1197-1204.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Estimating the arterial input function from dynamic contrast-enhanced MRI data with compensation for flow enhancement (II)

T2 - Journal of magnetic resonance imaging : JMRI

AU - van Schie, Jeroen J.N.

AU - Lavini, Cristina

AU - van Vliet, Lucas J.

AU - Kramer, Gem

AU - Pieters - van den Bos, Indra

AU - Marcus, J. T.

AU - Stoker, Jaap

AU - Vos, Frans M.

PY - 2018/5

Y1 - 2018/5

N2 - Background: Pharmacokinetic (PK) models can describe microvascular density and integrity. An essential component of PK models is the arterial input function (AIF) representing the time-dependent concentration of contrast agent (CA) in the blood plasma supplied to a tissue. Purpose/Hypothesis: To evaluate a novel method for subject-specific AIF estimation that takes inflow effects into account. Study Type: Retrospective study. Subjects: Thirteen clinical patients referred for spine-related complaints; 21 patients from a study into luminal Crohn's disease with known Crohn's Disease Endoscopic Index of Severity (CDEIS). Field Strength/Sequence: Dynamic fast spoiled gradient echo (FSPGR) at 3T. Assessment: A population-averaged AIF, AIFs derived from distally placed regions of interest (ROIs), and the new AIF method were applied. Tofts' PK model parameters (including vp and Ktrans) obtained with the three AIFs were compared. In the Crohn's patients Ktrans was correlated to CDEIS. Statistical Tests: The median values of the PK model parameters from the three methods were compared using a Mann-Whitney U-test. The associated variances were statistically assessed by the Brown-Forsythe test. Spearman's rank correlation coefficient was computed to test the correlation of Ktrans to CDEIS. Results: The median vp was significantly larger when using the distal ROI approach, compared to the two other methods (P < 0.05 for both comparisons, in both applications). Also, the variances in vp were significantly larger with the ROI approach (P < 0.05 for all comparisons). In the Crohn's disease study, the estimated Ktrans parameter correlated better with the CDEIS (r=0.733, P < 0.001) when the proposed AIF was used, compared to AIFs from the distal ROI method (r=0.429, P=0.067) or the population-averaged AIF (r=0.567, P=0.011). Data Conclusion: The proposed method yielded realistic PK model parameters and improved the correlation of the Ktrans parameter with CDEIS, compared to existing approaches.

AB - Background: Pharmacokinetic (PK) models can describe microvascular density and integrity. An essential component of PK models is the arterial input function (AIF) representing the time-dependent concentration of contrast agent (CA) in the blood plasma supplied to a tissue. Purpose/Hypothesis: To evaluate a novel method for subject-specific AIF estimation that takes inflow effects into account. Study Type: Retrospective study. Subjects: Thirteen clinical patients referred for spine-related complaints; 21 patients from a study into luminal Crohn's disease with known Crohn's Disease Endoscopic Index of Severity (CDEIS). Field Strength/Sequence: Dynamic fast spoiled gradient echo (FSPGR) at 3T. Assessment: A population-averaged AIF, AIFs derived from distally placed regions of interest (ROIs), and the new AIF method were applied. Tofts' PK model parameters (including vp and Ktrans) obtained with the three AIFs were compared. In the Crohn's patients Ktrans was correlated to CDEIS. Statistical Tests: The median values of the PK model parameters from the three methods were compared using a Mann-Whitney U-test. The associated variances were statistically assessed by the Brown-Forsythe test. Spearman's rank correlation coefficient was computed to test the correlation of Ktrans to CDEIS. Results: The median vp was significantly larger when using the distal ROI approach, compared to the two other methods (P < 0.05 for both comparisons, in both applications). Also, the variances in vp were significantly larger with the ROI approach (P < 0.05 for all comparisons). In the Crohn's disease study, the estimated Ktrans parameter correlated better with the CDEIS (r=0.733, P < 0.001) when the proposed AIF was used, compared to AIFs from the distal ROI method (r=0.429, P=0.067) or the population-averaged AIF (r=0.567, P=0.011). Data Conclusion: The proposed method yielded realistic PK model parameters and improved the correlation of the Ktrans parameter with CDEIS, compared to existing approaches.

KW - Arterial input function

KW - Dynamic contrast enhanced MRI

KW - Flow enhancement

KW - Pharmacokinetic modeling

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U2 - 10.1002/jmri.25905

DO - 10.1002/jmri.25905

M3 - Article

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SN - 1053-1807

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ER -