Evidence map›Paper›PMID 32245426›Full record

ArticleBMC medical imaging2020

Novel foetal echocardiographic image processing software (5D Heart) improves the display of key diagnostic elements in foetal echocardiography.

Wan-Yu Hu, Jin-Hong Zhou, Xiao-Ying Tao, Shi-Yan Li, Bei Wang, Bo-Wen Zhao

Abstract read
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Article in BMC medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Wan-Yu HuDepartment of Diagnostic Ultrasound & Echocardiography, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3 East Qingchun Road, Hangzhou, 310016, People's Republic of China.
Jin-Hong ZhouDepartment of Ultrasonography, Quzhou People's Hospital, Quzhou, People's Republic of China.
Xiao-Ying TaoDepartment of Ultrasonography, Jinhua Municipal Central Hospital, Jinhua, People's Republic of China.
Shi-Yan LiDepartment of Diagnostic Ultrasound & Echocardiography, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3 East Qingchun Road, Hangzhou, 310016, People's Republic of China.
Bei WangDepartment of Diagnostic Ultrasound & Echocardiography, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3 East Qingchun Road, Hangzhou, 310016, People's Republic of China.
Bo-Wen ZhaoDepartment of Diagnostic Ultrasound & Echocardiography, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3 East Qingchun Road, Hangzhou, 310016, People's Republic of China. zbwcjp@zju.edu.cn.

Funding

zhejiang province medical science and technology plane projects 20172030109
6 · The paper itself

Abstract

backgroundTo evaluate the clinical value of foetal intelligent navigation echocardiography (5D Heart) for the display of key diagnostic elements in basic sections.

methods3D volume datasets of 182 normal singleton foetuses were acquired with a four chamber view by using a volume probe. After processing the datasets by using 5D Heart, eight cardiac diagnostic planes were demonstrated, and the image qualities of the key diagnostic elements were graded by 3 doctors with different experiences in performing foetal echocardiography.

resultsA total of 231 volume datasets acquired from the 182 normal foetuses were used for 5D Heart analysis and display. The success rate of 8 standard diagnostic views was 88.2%, and the success rate of each diagnostic view was 55.8-99.2% and 70.7-99.0% for the random four chamber view as the initial section and for the apical four chamber view as the initial section, respectively. The success rate of each diagnostic element in the 8 diagnostic sections obtained by 5D Heart was 58.9%~ 100%. Excellent agreement was found between experienced sonographers and less-experienced sonographers (kappa> 0.769). Inter- and intra-observer agreement were substantial to near-perfect, kappa values ranging from 0.612 to 1.000 (Cohen's kappa).

conclusions5D Heart can significantly improve the image quality of key diagnostic elements in foetal echocardiography with low operator dependency and good reproducibility.

Indexed as

AdolescentAdultClinical CompetenceDatabases, FactualEchocardiographyFemaleFetal HeartGestational AgeHumansImage Processing, Computer-AssistedMaternal AgeObserver VariationPregnancySoftwareYoung Adult5D HeartCongenital heart diseaseDiagnostic elementFoetal echocardiographyFoetal intelligent navigation echocardiography

Identifiers

PMID32245426
PMCPMC7118886

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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.