Literature DB >> 35025833

Estimation of Contrast Agent Concentration in DCE-MRI Using 2 Flip Angles.

Ayesha Bharadwaj Das1, James Andrew Tranos2, Jin Zhang1, Youssef Zaim Wadghiri2, Sungheon Gene Kim.   

Abstract

PURPOSE: The aim of this study was to investigate the feasibility of using 2 flip angles (FAs) with an ultrashort echo time during dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) for estimation of plasma gadolinium (Gd) concentration without using a precontrast longitudinal relaxation time T1 (T10) measurement.
METHODS: T1-weighted DCE-MRI experiments were carried out with C57BL/6J mice using the scan protocol with 2 FAs over 3 sequential segments during 1 scan. The data with 2 FAs were used to estimate T10 (T1T) during conversion of a time-intensity curve to the time-concentration curve. Three dosages of gadolinium-based contrast agent were used to achieve a wide range of variability in Gd concentrations when measured at 10 minutes postinjection: 0.05 mmol/kg (n = 6), 0.1 mmol/kg (n = 11), and 0.15 mmol/kg (n = 7). For comparison, the signal-to-concentration conversion was also conducted using the T10 measured from the precontrast scan (T1M) as well as a constant T10 (2.1 seconds) from the literature (T1C). The Gd concentrations ([Gd]) estimated using DCE-MRI data for the time of retro-orbital blood collection ([Gd]T1T, [Gd]T1M, and [Gd]T1C, respectively) were compared against the [Gd] of the blood samples measured by inductively coupled plasma mass spectrometry ([Gd]MS). In addition, contrast kinetic model analysis was conducted on mice with GL261 brain tumors (n = 5) using the 3 different methods for T10.
RESULTS: T1T strongly correlated with T1M (r = 0.81). [Gd]T1M and [Gd]T1T were significantly different from [Gd]T1C. [Gd]T1M and [Gd]T1T were in good agreement with [Gd]MS with strong correlations (mean percentage error ± standard deviation) of r = 0.70 (16% ± 56%) and r = 0.85 (15% ± 44%), respectively. In contrast, [Gd]T1C had a weak correlation of r = 0.52 with larger errors of 33% ± 24%. The contrast kinetic model parameters of GL261 brain tumors using T1T were not significantly different from those using T1M.
CONCLUSIONS: This study substantiates the feasibility of using the 2-FA approach during DCE-MRI scan to estimate [Gd] in the plasma without using an extra scan to perform precontrast T1 measurements.
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2022        PMID: 35025833      PMCID: PMC8986601          DOI: 10.1097/RLI.0000000000000845

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  30 in total

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4.  Image Quality Improvement of Dynamic Contrast-Enhanced Gradient Echo Magnetic Resonance Imaging by Iterative Denoising and Edge Enhancement.

Authors:  Sebastian Gassenmaier; Judith Herrmann; Dominik Nickel; Stephan Kannengiesser; Saif Afat; Ferdinand Seith; Rüdiger Hoffmann; Ahmed E Othman
Journal:  Invest Radiol       Date:  2021-07-01       Impact factor: 6.016

5.  Toward precise arterial input functions derived from DCE-MRI through a novel extracorporeal circulation approach in mice.

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6.  Simultaneous measurement of T1 /B1 and pharmacokinetic model parameters using active contrast encoding (ACE)-MRI.

Authors:  Jin Zhang; Kerryanne Winters; Olivier Reynaud; Sungheon Gene Kim
Journal:  NMR Biomed       Date:  2017-05-22       Impact factor: 4.044

7.  High-resolution T1 and T2 mapping of the brain in a clinically acceptable time with DESPOT1 and DESPOT2.

Authors:  Sean C L Deoni; Terry M Peters; Brian K Rutt
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8.  Gadolinium presence, MRI hyperintensities, and glucose uptake in the hypoperfused rat brain after repeated administrations of gadodiamide.

Authors:  Francesca Arena; Paola Bardini; Francesco Blasi; Eliana Gianolio; Giada M Marini; Francesca La Cava; Giovanni Valbusa; Silvio Aime
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9.  Capillarization of the sinusoids in liver fibrosis: noninvasive assessment with contrast-enhanced MRI in the rabbit.

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Review 10.  DCE-MRI biomarkers in the clinical evaluation of antiangiogenic and vascular disrupting agents.

Authors:  J P B O'Connor; A Jackson; G J M Parker; G C Jayson
Journal:  Br J Cancer       Date:  2007-01-09       Impact factor: 7.640

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