Evidence map›Paper›PMID 41261051›Full record

ArticleMedical physics2025

Efficient estimation of gadolinium-based contrast agent concentration using transient-state keyhole MR-STAT.

Fei Xu, Edwin Versteeg, Hongyan Liu, Miha Fuderer, Oscar van den Heide, Wybe J M van der Kemp, Cornelis A T van den Berg, Alessandro Sbrizzi

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Fei XuComputational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, UMC Utrecht, Utrecht, the Netherlands.
Edwin VersteegComputational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, UMC Utrecht, Utrecht, the Netherlands.
Hongyan LiuComputational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, UMC Utrecht, Utrecht, the Netherlands.
Miha FudererComputational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, UMC Utrecht, Utrecht, the Netherlands.
Oscar van den HeideComputational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, UMC Utrecht, Utrecht, the Netherlands.
Wybe J M van der KempDepartment of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Cornelis A T van den BergComputational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, UMC Utrecht, Utrecht, the Netherlands.
Alessandro SbrizziComputational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, UMC Utrecht, Utrecht, the Netherlands.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO, Netherlands Organisation for Scientific Research) 17986
6 · The paper itself

Abstract

backgroundFast quantitative MRI (qMRI) techniques have emerged to quantify multiple tissue parameters from a single acquisition in clinically feasible scan times. To integrate fast qMRI techniques into a clinical MRI protocol, one needs to consider imaging after injection of a contrast agent (e.g., dynamic contrast-enhanced [DCE] imaging). However, fully repeating the multi-parametric scan after the injection requires lengthy scan times, which are impractical for tracking the contrast agent concentration. PURPOSE: This work aimed to develop and validate an accelerated multi-parametric method capable of estimating the concentration of Gadolinium-based contrast agents (GBCAs) in a more time-efficient way.

methodsWe designed an accelerated 2D Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) protocol and tested it on a 3T MRI scanner. This is achieved by combining transient-state acquisitions with Cartesian keyhole-based acceleration. Based on the reconstructed T

resultsThe accelerated MR-STAT protocol, with an undersampling factor of 4, provided accurate T

conclusionWe present a multi-parametric approach for quantitatively assessing the concentration of gadolinium in vitro and in a hybrid in vivo/in vitro controlled setup using the accelerated MR-STAT protocol. The concentration of gadobutrol in the range of 0.05-0.9 mM could be measured in a clinically applicable scan time using the proposed method, but needs further in vivo validation.

Indexed as

Contrast MediaGadoliniumMagnetic Resonance ImagingOrganometallic CompoundsHumansImage Processing, Computer-AssistedPhantoms, ImagingTime FactorsContrast MediagadobutrolGadoliniumOrganometallic Compoundsconcentration estimationcontrast enhancementgadolinium‐based contrast agentMR‐STATquantitative imaging

Identifiers

PMID41261051
PMCPMC12630068

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.