Evidence map›Paper›PMID 36000559›Full record

ArticleMagnetic resonance in medicine2022

Impact of autocalibration method on accelerated EPI of the cervical spinal cord at 7 T.

Alan C Seifert, Junqian Xu

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

2 authors at 2 institutions in 1 country.

Alan C SeifertBiomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-7877-4813
Junqian XuBiomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Baylor College of Medicine · USIcahn School of Medicine at Mount Sinai · US

Funding

Delineating Modulatory Control of Pain Using 7T Functional and Diffusion MRIK01NS105160 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SEIFERT, ALAN C · 2018 to 2020
$402k
NINDS NIH HHS K01 NS105160
6 · The paper itself

Abstract

purposeThe spinal cord contains sensorimotor neural circuits of scientific and clinical interest. However, spinal cord functional MRI (fMRI) is significantly more technically demanding than brain fMRI, due primarily to its proximity to the lungs. Accelerated echo-planar imaging (EPI) at 7 T is particularly vulnerable to k-space phase inconsistencies induced by motion or B

methodsWe compared 24-line single-shot EPI with 48-line two-shot segmented EPI, two-shot FLEET, and gradient echo (GRE)-based ACS acquisition methods, performed under various physiological conditions, in terms of temporal signal-to-noise ratio and prevalence of artifacts in generalized autocalibrating partially parallel acquisition (GRAPPA)-accelerated EPI of the cervical spinal cord at 7 T.

resultsSegmented EPI and FLEET ACS produce images with nearly identical patterns of severe image artifacts. GRE and single-shot EPI ACS consistently produce images free from significant artifacts, and temporal signal-to-noise ratio is significantly greater for GRE ACS, particularly in lower slices where through-slice dephasing is most severe.

conclusionsGRE and single-shot EPI-ACS acquisition methods, which are robust to respiration-induced phase errors between k-space segments, produce images with fewer and less severe artifacts than either FLEET or conventionally segmented EPI for accelerated EPI of the cervical spinal cord at 7 T.

Indexed as

Cervical CordEcho-Planar ImagingArtifactsBrainSignal-To-Noise RatioSpinal Cordautocalibration signalfunctional MRIspinal cordtemporal SNRultrahigh-field MRI

Identifiers

PMID36000559
PMCPMC9529816
OpenAlexW4292887402

What OpenQuestion holds

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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.