Evidence map›Paper›PMID 36045229›Full record

ArticleEmergency radiology2022

Visualization of acute aortic injury with cinematic rendering.

Abdullah Al Khalifah, Stefan L Zimmerman, Elliot K Fishman

Abstract read
PubMed Publisher
In one paragraph

Article in Emergency radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 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

3 authors at 1 institution in 1 country.

Abdullah Al KhalifahThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, USA. aalkhal4@jhmi.edu.ORCID http://orcid.org/0000-0003-0751-4023
Stefan L ZimmermanThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, USA.ORCID http://orcid.org/0000-0002-9422-6742
Elliot K FishmanThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, USA.ORCID http://orcid.org/0000-0002-2567-1658
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to demonstrate the appearance of traumatic aortic injuries with the novel 3-dimensional (3D) computed tomography (CT) visualization technique known as cinematic rendering (CR). CR uses a novel lighting model to create photorealistic images with excellent anatomic detail for improved depiction of the extent of traumatic aortic injuries. Four patients with acute traumatic aortic injury identified on thoracic CT angiography were analyzed by creating standard 3D volume-rendered reconstructions and CR images on an independent 3D workstation. In this series of four patients, we present the typical patterns of aortic injury imaging findings and complications associated with traumatic aortic injury, with an emphasis on the utilization of the novel 3D technique of CR. CR can provide realistic imaging of the thoracic aortic contour with excellent spatial details. This methodology allows for an accurate assessment of aortic injury and optimal preoperative planning in patients with traumatic thoracic aortic injury.

Indexed as

Radiographic Image Interpretation, Computer-AssistedVascular System InjuriesComputed Tomography AngiographyHumansImaging, Three-DimensionalTomography, X-Ray Computed3D visualizationAortic injuryAortic pseudoaneurysmCinematic rendering

Identifiers

PMID36045229
OpenAlexW4294127337

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.