Evidence map›Paper›PMID 33251644›Full record

ArticleMagnetic resonance in medicine2021

Multi-organ comparison of flow-based arterial spin labeling techniques: Spatially non-selective labeling for cerebral and renal perfusion imaging.

Suzanne L Franklin, Isabell K Bones, Anita A Harteveld, Lydiane Hirschler, Marijn van Stralen, Qin Qin, Anneloes de Boer, Johannes M Hoogduin, Clemens Bos, Matthias J P van Osch and 1 more

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In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  16. Ensuring both velocity and spatial responses robust toMagnetic resonance in medicine · 2021
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4 · The record

Corrections and comments

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

11 authors at 3 institutions in 2 countries.

Suzanne L FranklinC.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-6886-5578
Isabell K BonesCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-7916-5013
Anita A HarteveldCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-3379-0710
Lydiane HirschlerC.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2379-0861
Marijn van StralenCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Qin QinThe Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-6432-2944
Anneloes de BoerCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Johannes M HoogduinCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0001-7707-0750
Clemens BosCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-9246-3242
Matthias J P van OschC.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7034-8959
Sophie SchmidC.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-0750-7798
University Medical Center Utrecht · NLLeiden University · NLJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFlow-based arterial spin labeling (ASL) techniques provide a transit-time insensitive alternative to the more conventional spatially selective ASL techniques. However, it is not clear which flow-based ASL technique performs best and also, how these techniques perform outside the brain (taking into account eg, flow-dynamics, field-inhomogeneity, and organ motion). In the current study we aimed to compare 4 flow-based ASL techniques (ie, velocity selective ASL, acceleration selective ASL, multiple velocity selective saturation ASL, and velocity selective inversion prepared ASL [VSI-ASL]) to the current spatially selective reference techniques in brain (ie, pseudo-continuous ASL [pCASL]) and kidney (ie, pCASL and flow alternating inversion recovery [FAIR]).

methodsBrain (n = 5) and kidney (n = 6) scans were performed in healthy subjects at 3T. Perfusion-weighted signal (PWS) maps were generated and ASL techniques were compared based on temporal SNR (tSNR), sensitivity to perfusion changes using a visual stimulus (brain) and robustness to respiratory motion by comparing scans acquired in paced-breathing and free-breathing (kidney).

resultsIn brain, all flow-based ASL techniques showed similar tSNR as pCASL, but only VSI-ASL showed similar sensitivity to perfusion changes. In kidney, all flow-based ASL techniques had comparable tSNR, although all lower than FAIR. In addition, VSI-ASL showed a sensitivity to B

conclusionIn both brain and kidney, flow-based ASL techniques provide a planning-free and transit-time insensitive alternative to spatially selective ASL techniques. VSI-ASL shows the most potential overall, showing similar performance as the golden standard pCASL in brain. However, in kidney, a reduction of B

Indexed as

AlgorithmsPerfusion ImagingBrainCerebrovascular CirculationHumansKidneyMagnetic Resonance ImagingSignal-To-Noise RatioSpin LabelsSpin Labelsarterial spin labelingbrainkidneyperfusion imagingvelocity selective ASL

Identifiers

PMID33251644
PMCPMC7898485
OpenAlexW3107213078

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.