Evidence map›Paper›PMID 33961070›Full record

ArticleSkeletal radiology2021

Ferumoxytol-enhanced vascular suppression in magnetic resonance neurography.

Sophie C Queler, Ek Tsoon Tan, Christian Geannette, Martin Prince, Darryl B Sneag

Abstract read
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

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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.

Sophie C QuelerDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA.
Ek Tsoon TanDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA.
Christian GeannetteDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA.
Martin PrinceDepartment of Radiology, NewYork-Presbyterian/Weill Cornell Medical Center, 535 E. 70th St., New York, NY, 10021, USA.
Darryl B SneagDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA. sneagd@hss.edu.
Hospital for Special Surgery · USCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate ferumoxytol-enhanced vascular suppression for visualizing branch nerves of the brachial plexus in magnetic resonance (MR) neurography. MATERIALS AND

methodsSignal simulations were performed to determine ferumoxytol's effect on nerve-, fat-, and blood-to-muscle contrast and to optimize pulse sequence parameters. Prospective, in vivo assessment included 10 subjects with chronic anemia who underwent a total of 19 (9 bilateral) pre- and post-infusion brachial plexus exams using three-dimensional (3D), T

resultsQuantitative nerve/muscle and nerve/small vessel contrast ratios (CRs) increased with ferumoxytol (p < 0.05). Qualitative vascular suppression and suprascapular nerve visualization improved following ferumoxytol administration for both raters (p < .05). Pre- and post-ferumoxytol exams demonstrated moderate to near-perfect inter-rater agreement for nerve visualization and diagnostic confidence for the suprascapular and axillary nerves but poor to no agreement for the long thoracic nerve.

conclusionFerumoxytol in T

Indexed as

Brachial PlexusFerrosoferric OxideHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyProspective StudiesFerrosoferric OxideBrachial plexusFerumoxytolMRIMR neurographyMusclePeripheral nerve

Identifiers

PMID33961070
OpenAlexW3157585864

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.