Evidence map›Paper›PMID 36950473›Full record

ArticleEuropean journal of radiology open2023

3D CT cinematic rendering of pediatric thoracic vascular anomalies.

Hannah S Recht, Edmund M Weisberg, Elliot K Fishman

Open access · goldAbstract readCase Reports
In one paragraph

Article in European journal of radiology open, 2023. 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
0.5field-weighted citation impact, top 40% 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 2 institutions in 1 country.

Hannah S RechtDepartment of Radiology, Feinberg School of Medicine, Northwestern University, 676 North St. Clair Street, Suite 800, Chicago, IL 60611, United States of America.
Edmund M WeisbergJohns Hopkins University School of Medicine, The Russell H. Morgan Department of Radiology and Radiological Science, 601 North Caroline Street, Baltimore, MD 21287, United States of America.
Elliot K FishmanJohns Hopkins University School of Medicine, The Russell H. Morgan Department of Radiology and Radiological Science, 601 North Caroline Street, Baltimore, MD 21287, United States of America.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic vascular anomalies in the pediatric population are a heterogeneous group of diseases, with varied clinical presentations and imaging findings. High-resolution computed tomography is widely available and has become a standard part of the workup of these patients, often with three dimensional images. Cinematic rendering is a novel 3D visualization technique that utilizes a new, complex global lighting model to create photorealistic images with enhanced anatomic detail. The purpose of this pictorial review is to highlight the advantages of cinematic rendering compared to standard 2D computed tomography and traditional volume-rendered 3D images in the evaluation of thoracic vascular anomalies. Although cinematic rendering remains a new visualization technique under continued study, the improved anatomic detail and photorealistic quality of these images may be advantageous for surgical planning in cases of complex vascular abnormalities. Cinematic rendering may also help improve communication among clinicians, trainees, and patients and their families.

Indexed as

3D imagingBronchopulmonary sequestrationCinematic renderingPediatricPulmonary slingsThoracicVascularVascular rings

Identifiers

PMID36950473
PMCPMC10027509
OpenAlexW4327517936

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.