Evidence map›Paper›PMID 38194212›Full record

ArticleEmergency radiology2024

Supplementary value and diagnostic performance of computed tomography scout view in the detection of thoracolumbar spine injuries.

Helena Milavec, Vera T Gasser, Thomas D Ruder, Moritz C Deml, Wolf Hautz, Aristomenis Exadaktylos, Lorin M Benneker, Christoph E Albers

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In one paragraph

Article in Emergency radiology, 2024. 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
–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

1 citing paper in PubMed.

  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

8 authors.

Helena MilavecDepartment of Orthopaedic Surgery and Traumatology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland. info@spinebalance.ch.ORCID http://orcid.org/0000-0002-5689-0095
Vera T GasserDepartment of Emergency Medicine, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0009-0007-8765-8954
Thomas D RuderDepartment of Diagnostic, Pediatric and Interventional Radiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-3110-9143
Moritz C DemlDepartment of Orthopaedic Surgery and Traumatology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0003-1829-4820
Wolf HautzDepartment of Emergency Medicine, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-2445-984X
Aristomenis ExadaktylosDepartment of Emergency Medicine, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-2705-5170
Lorin M BennekerSonnenhofspital Bern, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-5320-5638
Christoph E AlbersDepartment of Orthopaedic Surgery and Traumatology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0003-2751-3458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAssessing the diagnostic performance and supplementary value of whole-body computed tomography scout view (SV) images in the detection of thoracolumbar spine injuries in early resuscitation phase and identifying frequent image quality confounders.

methodsIn this retrospective database analysis at a tertiary emergency center, three blinded senior experts independently assessed SV to detect thoracolumbar spine injuries. The findings were categorized according to the AO Spine classification system. Confounders impacting SV image quality were identified. The suspected injury level and severity, along with the confidence level, were indicated. Diagnostic performance was estimated using the caret package in R programming language.

resultsWe assessed images of 199 patients, encompassing 1592 vertebrae (T10-L5), and identified 56 spinal injuries (3.5%). Among the 199 cases, 39 (19.6%) exhibited at least one injury in the thoracolumbar spine, with 12 (6.0%) of them displaying multiple spinal injuries. The pooled sensitivity, specificity, and accuracy were 47%, 99%, and 97%, respectively. All experts correctly identified the most severe injury of AO type C. The most common image confounders were medical equipment (44.6%), hand position (37.6%), and bowel gas (37.5%).

conclusionSV examination holds potential as a valuable supplementary tool for thoracolumbar spinal injury detection when CT reconstructions are not yet available. Our data show high specificity and accuracy but moderate sensitivity. While not sufficient for standalone screening, reviewing SV images expedites spinal screening in mass casualty incidents. Addressing modifiable factors like medical equipment or hand positioning can enhance SV image quality and assessment.

Indexed as

Multiple TraumaSpinal FracturesSpinal InjuriesHumansLumbar VertebraeRetrospective StudiesThoracic VertebraeTomography, X-Ray ComputedConfidence levelDiagnostic performanceEmergency radiologyImage confoundersThoracolumbar spinal injuriesWhole-body computed tomography scout view

Identifiers

PMID38194212

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Registered trials

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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.