Evidence map›Paper›PMID 36290492›Full record

ArticleBioengineering (Basel, Switzerland)2022

Development of Digital Fetal Heart Models with Virtual Ultrasound Function Based on Cardiovascular Casting and Computed Tomography Scan.

Qi Yang, Jiancheng Han, Rui Wang, Tong Zhang, Yingying Zhang, Jingyi Wang, Lei Xu, Zengguang Hou, Shuangyi Wang, Yihua He

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Qi YangEchocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.ORCID 0000-0002-4428-6739
Jiancheng HanEchocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Rui WangEchocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Tong ZhangDepartment of Network Intelligence, Peng Cheng Laboratory (PCL), Shenzhen 518055, China.ORCID 0000-0002-8838-4963
Yingying ZhangEchocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Jingyi WangEchocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Lei XuEchocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Zengguang HouState Key Laboratory of Management and Control of Complex Systems, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China.
Shuangyi WangState Key Laboratory of Management and Control of Complex Systems, Chinese Academy of Sciences, Institute of Automation, Beijing 100190, China.ORCID 0000-0003-4316-3259
Yihua HeEchocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.

Funding

Yihua He and Shuangyi Wang No. 82170301(Y.H.); No. 62003339(S.W.)
6 · The paper itself

Abstract

Despite recent breakthroughs in diagnosis and treatment, congenital heart defects (CHDs) continue to be the leading cause of death among newborns. Fetal echocardiography is the most effective and non-invasive method for the prenatal diagnosis of CHDs. However, the challenge of obtaining standard views can lead to a low diagnostic accuracy. To explore new methods for training, the combined use of cardiovascular casting, computed tomography (CT) scanning, and virtual ultrasound generation methods was studied to preserve the cardiac structures of a fetus in digital form. The feasibility of the proposed workflow was verified by testing three fetal heart specimens collected after the termination of pregnancy. As a result, the anatomical structures were imaged clearly by a CT scan after cardiovascular casting, and the virtually generated ultrasound images based on the use of the Public software Library for UltraSound imaging research (PLUS) toolkit successfully demonstrated both the standard views and the views with diagnostic values for the visualization of the cardiovascular structures. This solution provides great data extensibility while being simple and cost-effective for end users. Therefore, the proposed method could provide a promising educational system for trainees to understand standard views of fetal echocardiography and the corresponding anatomical correlations.

Indexed as

cardiovascular castingcongenital heart diseasedigital twinfetal echocardiographyvirtual ultrasound

Identifiers

PMID36290492
PMCPMC9598759

What OpenQuestion holds

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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.