Evidence map›Paper›PMID 33651233›Full record

ArticleEmergency radiology2021

Cinematic rendering of CT angiography for visualization of complex vascular anatomy after hybrid endovascular aortic aneurysm repair.

Stefan L Zimmerman, Steven P Rowe, Elliot K Fishman

Abstract read
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In one paragraph

Article in Emergency radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 12 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.

Stefan L ZimmermanJohns Hopkins University School of Medicine, Baltimore, MD, USA. Stefan.zimmerman@jhmi.edu.ORCID http://orcid.org/0000-0002-9422-6742
Steven P RoweJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Elliot K FishmanJohns Hopkins University School of Medicine, Baltimore, MD, USA.
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 utility of cinematic rendering (CR) techniques for imaging of patients who have undergone hybrid repair of thoracoabdominal aortic aneurysms that are difficult to assess given anatomic complexity, particularly in the emergency setting. In this pictorial essay, we will explain why CR techniques are uniquely suited to improving anatomic visualization in patients with complex postoperative vascular anatomy. Verification of vessel patency is critical to optimal care of these patients in any setting, particularly in the emergency patient when clinical history may be lacking. Cinematic rendering (CR) is a recently developed CT post-processing technique for creating photorealistic anatomic visualization. Hybrid abdominal aortic aneurysm repairs involve the use of multiple tortuous and overlapping grafts to preserve blood flow to visceral arteries, which are difficult to adequately evaluate using standard orthogonal planes and with traditional VR techniques. Several examples of complex aortic repairs show the utility of CR for improved visualization of these structures. CR improves upon standard 3D volumetric techniques through improved depiction of the spatial relationships of anatomic structures in 3D space, permitting near life-like visualization that allows the imager to simplify the visualization of highly complex anatomy.

Indexed as

Aortic Aneurysm, AbdominalAortic Aneurysm, ThoracicEndovascular ProceduresComputed Tomography AngiographyHumansImaging, Three-DimensionalStentsTomography, X-Ray ComputedTreatment OutcomeVascular Surgical Procedures3D imagingCinematic renderingEndovascular stent graftHybrid aortic repairPost-processingVolume rendering

Identifiers

PMID33651233
OpenAlexW3135383785

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.