Evidence map›Paper›PMID 33646359›Full record

ArticleSurgical and radiologic anatomy : SRA2021

Real color volume model of cadaver for learning cardiac computed tomographs and echocardiographs.

Beom Sun Chung, Min Suk Chung

Abstract read
PubMed Publisher
In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2021. 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. Trial
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

2 authors.

Beom Sun ChungDepartment of Anatomy, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Min Suk ChungDepartment of Anatomy, Ajou University School of Medicine, Suwon, Republic of Korea. dissect@ajou.ac.kr.ORCID http://orcid.org/0000-0002-0527-9763

Funding

National Research Foundation of Korea 2019R1F1A1059842
6 · The paper itself

Abstract

purposeIt is difficult for medical students and novice clinicians to interpret cardiac computed tomographs and echocardiographs. This study was intended to help familiarize them with the clinical images of the heart by providing software to browse the various planes of a heart's volume model with real color and high resolution.

methodsOn the sectioned images of a male cadaver, the heart and adjacent structures were segmented to obtain color-filled images. Volume models of the sectioned images and color-filled images were reconstructed and sectioned to obtain three orthogonal planes and five standard oblique planes. The planes were inputted into lab-made browsing software, which was then distributed free of charge.

resultsUsers of the software would hopefully progress as follows. After experiencing the real color and high resolution, they would become familiar with the grayscale and low resolution. After experiencing the automatic annotation of the basic heart structures, they would become familiar with the detailed structures. After experiencing the designated planes, they would become familiar with the arbitrary planes. After experiencing the still heart, they would become familiar with the moving heart during echocardiography.

conclusionThe software, with a user-friendly interface and realistic features, is expected to properly orient medical novices to cardiac computed tomography and echocardiography images.

Indexed as

EchocardiographyTomography, X-Ray ComputedAdultAnatomy, Cross-SectionalCadaverColorEducation, Medical, UndergraduateHeartHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleModels, AnatomicRepublic of KoreaSimulation TrainingSoftwareCadaverEchocardiographyHeartVisible human projectsVolume modelX-ray computed tomography

Identifiers

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.