Evidence map›Paper›PMID 27470236›Full record

ArticleSkeletal radiology2016

Focal brachial enhancement deficit: a normal anatomic variant?

Nicholas Beckmann, Benjamin Saverino, Chunyan Cai

Abstract read
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Article in Skeletal radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Nicholas BeckmannDepartment of Diagnostic and Interventional Imaging, Memorial Hermann, Houston, TX, USA. Nicholas.M.Beckmann@uth.tmc.edu.
Benjamin SaverinoRadiology Specialists of St. Joseph, Missouri PC, 4704 Stonecrest Terrace, St. Joseph, MO, 64506, USA.
Chunyan CaiDepartment of Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the incidence of brachialis enhancement deficits (BEDs) on contrast-enhanced elbow MRIs and determine if there is an association between the presence of BEDs and presenting symptoms, other imaging findings, or patient positioning. MATERIALS AND

methodsElbow MRIs from 138 patients (64 males, mean age 45.3 years) were reviewed. The presence, size, and degree of enhancement of BEDs as well as degree of elbow flexion, relative degree of forearm rotation, and additional finding of pathology on the MRI were recorded.

resultsBEDs were found in 54 % (75/138) of contrast-enhanced elbow MRIs. No statistically significant difference was seen between age, gender, presenting symptoms and the presence of BEDs. The BEDs varied considerably in size and degree of diminished enhancement compared to adjacent muscle. There was a very significant correlation between degree of elbow flexion and presence of BEDs (p < 0.0001) and a significant inverse correlation between cross-sectional size of BEDs and degree of flexion (p < 0.01). There was no significant correlation between BED enhancement difference and degree of flexion and no significant correlation between degree of forearm rotation and cross-sectional area or enhancement difference of the BEDs. No correlation was found between the presence of BEDs and other pathology present on the MRI.

conclusionBEDs are a common, likely asymptomatic phenomenon seen on post contrast elbow MRIs. The etiology of BEDs is uncertain, but they may represent a vascular phenomenon related to elbow flexion causing diminished enhancement related to brachialis compression.

Indexed as

AdolescentAdultAgedAged, 80 and overChildElbow JointFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMuscle, SkeletalReference ValuesReproducibility of ResultsSensitivity and SpecificityYoung AdultBrachialisContrastDeficitElbowEnhancementFocalMRIMusculoskeletal

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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.