Evidence map›Paper›PMID 24758309›Full record

ArticleThe British journal of radiology2014

Averaging improves strain images of the biceps brachii using quasi-static ultrasound elastography.

M J Leineweber, J Westborn, A Cochran, J Choi, Y Gao

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

M J Leineweber1 Mechanical and Aerospace Engineering Department, Cornell University, Ithaca, NY, USA.
J Westborn
A Cochran
J Choi
Y Gao
Cornell University · USGuthrie Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveQuasi-static ultrasound elastography is a technique for measuring tissue deformation (strain) under externally applied loading and can be used to identify the presence of abnormalities. The objective of this study was to demonstrate the efficacy of averaging strain images from repeated compression cycles in mitigating user-induced error using quasi-static ultrasound elastography.

methodsFreehand compressions were performed with an ultrasound transducer on the biceps brachii of nine participants (five males and four females), as well as with a custom automated compression system. Sets of strain images from the freehand techniques were averaged to create single representative images and compared against strain images from the automated compressions using both qualitative and quantitative metrics.

resultsSignificant improvements in intra-operator repeatability and interoperator reproducibility can be achieved by averaging strain images from four to eight repeated compressions. The resulting strain images did not lose significant image data compared with strain images from single automated compressions.

conclusionAveraging is introduced as a feasible and appropriate technique to improve strain image quality without sacrificing important image data. ADVANCES IN KNOWLEDGE: Simple averaging of multiple freehand elastography measures can achieve a similar degree of accuracy, repeatability and reproducibility as that of more awkward and expensive automated methods. The resulting elastograms can be used to obtain a more accurate and complete diagnosis without additional cost to the doctor or the patient.

Indexed as

AdultElasticity Imaging TechniquesFemaleHumansImage Processing, Computer-AssistedMaleMuscle, SkeletalReproducibility of ResultsYoung Adult

Identifiers

PMID24758309
PMCPMC4075574
OpenAlexW2014177718

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.