Evidence map›Paper›PMID 32173909›Full record

ArticleMagnetic resonance in medicine2020

Improved velocity-selective labeling pulses for myocardial ASL.

Vanessa Landes, Ahsan Javed, Terrence Jao, Qin Qin, Krishna Nayak

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  11. TMagnetic resonance in medicine · 2022
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  14. Ensuring both velocity and spatial responses robust toMagnetic resonance in medicine · 2021
    Article
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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

5 authors at 2 institutions in 1 country.

Vanessa LandesDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angles, CA, USA.ORCID 0000-0001-6610-7335
Ahsan JavedMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angles, CA, USA.ORCID 0000-0003-1311-1247
Terrence JaoKeck School of Medicine, University of Southern California, Los Angles, CA, USA.ORCID 0000-0001-6951-1894
Qin QinThe Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, John Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-6432-2944
Krishna NayakDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angles, CA, USA.ORCID 0000-0001-5735-3550
University of Southern California · USKennedy Krieger Institute · US

Funding

Novel Myocardial Perfusion Stress Test using Arterial Spin LabelingR01HL130494 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NAYAK, KRISHNA S · 2016 to 2019
$1.7M
NHLBI NIH HHS R01 HL130494
6 · The paper itself

Abstract

purposeTo develop and evaluate an improved velocity-selective (VS) labeling pulse for myocardial arterial spin labeling (ASL) perfusion imaging that addresses two limitations of current pulses: (1) spurious labeling of moving myocardium and (2) low labeling efficiency.

methodsThe proposed myocardial VSASL labeling pulse is designed using a Fourier Transform based Velocity-Selective labeling pulse train. The pulse utilizes bipolar velocity-encoding gradients, a 9-tap velocity-encoding envelope, and double-refocusing pulses with Malcolm Levitt phase cycling. Amplitudes of the velocity-encoding envelope were optimized to minimize the labeling of myocardial velocities during stable diastole (±2-3 cm/s) and maximize the labeling of coronary velocities (10-130 cm/s during rest/stress or 10-70 cm/s during rest). Myocardial ASL experiments were performed in seven healthy subjects using the previously developed VS-ASL protocol by Jao et al with the two proposed VS pulses and original VS pulse. Myocardial ASL experiments were also performed using FAIR ASL. Myocardial perfusion and physiological noise (PN) were evaluated and compared.

resultsBloch simulations of the first and second proposed pulses show <2% labeling over ±3 cm/s and ±2 cm/s, respectively. Bloch simulations also show the mean labeling efficiency of arterial blood is 1.23 over the relevant coronary arterial ranges. In-vivo VSASL experiments show the proposed pulses provided comparable measurements to FAIR ASL and reduced TSNR in 5 of 7 subjects compared to the original VS pulse.

conclusionWe demonstrate an improved VS labeling pulse specifically for myocardial ASL perfusion imaging to reduce spurious labeling of moving myocardium and PN.

Indexed as

AlgorithmsCerebrovascular CirculationArteriesHumansMyocardiumSpin LabelsSpin Labelsarterial spin labelingmyocardial perfusionRF pulse designvelocity selective ASLvelocity-selective labeling

Identifiers

PMID32173909
PMCPMC7329582
OpenAlexW3011484965

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Registered trials

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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.