Cinematic rendering of non-traumatic thoracic aorta emergencies: a new look at an old problem.

Mohammad Yasrab, Ryan C Rizk, Linda C Chu, Elliot K Fishman

Abstract read

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. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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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

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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

4 authors.

Mohammad YasrabDepartment of Radiology, School of Medicine, Johns Hopkins University, 601 North Caroline Street, Baltimore, MD, 21287-0801, USA. myasrab1@jh.edu.ORCID http://orcid.org/0009-0007-8177-097X

Ryan C RizkDepartment of Radiology, School of Medicine, Johns Hopkins University, 601 North Caroline Street, Baltimore, MD, 21287-0801, USA.

Linda C ChuDepartment of Radiology, School of Medicine, Johns Hopkins University, 601 North Caroline Street, Baltimore, MD, 21287-0801, USA.

Elliot K FishmanDepartment of Radiology, School of Medicine, Johns Hopkins University, 601 North Caroline Street, Baltimore, MD, 21287-0801, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-traumatic thoracic aorta emergencies are acute conditions associated with substantial morbidity and mortality. In the emergency setting, timely detection of aortic injury through radiological imaging is crucial for prompt treatment planning and favorable patient outcomes. 3D cinematic rendering (CR), a novel rendering algorithm for computed tomography (CT) image processing, allows for life-like visualization of spatial details and contours of highly complex anatomic structures such as the thoracic aorta and its vessels, generating a photorealistic view that not just adds to diagnostic confidence, but is especially useful for non-radiologists, including surgeons and emergency medicine physicians. In this pictorial review, we demonstrate the utility of CR in the setting of non-traumatic thoracic aorta emergencies through 10 cases that were processed at a standalone 3D CR station at the time of presentation, including its role in diagnosis and management.

Indexed as

Aorta, ThoracicVascular System InjuriesEmergenciesHumansImaging, Three-DimensionalTomography, X-Ray Computed3D CT3D visualizationAortic emergencyCinematic renderingNon-traumatic aortic emergencyThoracic aorta

Identifiers

PMID38236521

DOI10.1007/s10140-024-02204-6

What OpenQuestion holds

Textmetadata

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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.