Evidence map›Paper›PMID 30364500›Full record

ArticleHeliyon2018

Comparison of simultaneous multi-slice readout-segmented EPI and conventional single-shot EPI for diffusion tensor imaging of the ulnar nerve.

Michael Ho, Anton Becker, Erika Ulbrich, Andrei Manoliu, Félix P Kuhn, Matthias Eberhard, Lukas Filli

Abstract read
In one paragraph

Article in Heliyon, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Michael HoInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
Anton BeckerInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
Erika UlbrichInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
Andrei ManoliuInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
Félix P KuhnInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
Matthias EberhardInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
Lukas FilliInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare conventional single-shot echo planar imaging (ss-EPI) and simultaneous multi-slice (SMS) readout-segmented EPI (rs-EPI) for magnetic resonance diffusion tensor imaging (DTI) of the ulnar nerve. MATERIALS AND

methodsThis study was approved by the local ethics committee. Ten healthy volunteers (mean age 30.4 ± 4.01 years; range 25-36 years) underwent 3T DTI of the ulnar nerve at the level of the cubital tunnel. DTI was performed based on ss-EPI as well as SMS rs-EPI sequences. Signal-to-noise ratio (SNR), image quality, and DTI parameters in the ulnar nerve (fractional anisotropy, FA; mean diffusivity, MD) were compared between the two sequences by two independent radiologists.

resultsAcquisition time was 5:12 min for ss-EPI and 5:18 min for SMS rs-EPI. Between the two sequences, no significant differences were found for derived DTI measures FA (p = 0.11) and MD values (p = 0.93). Compared to conventional ss-EPI, SMS rs-EPI yielded significantly less ghosting artifacts (p = 0.04) but inferior nerve depiction (p = 0.001) and worse overall image quality (p = 0.008).

conclusionSMS rs-EPI is not advantageous over ss-EPI in DTI of the ulnar nerve at the level of the cubital tunnel.

Indexed as

Medical imagingNeurologyNeuroscience

Identifiers

PMID30364500
PMCPMC6197173

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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.