Cited by 24Congenital Heart Disease StudiesPrenatal Screening and DiagnosticsCardiac Imaging and Diagnostics

Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV)

Ma, Mingming, Li, Yuhui, Chen, Ran, Huang, Chao, Mao, Yankai, Zhao, Bowen·2020·The International Journal of Cardiovascular Imaging

Abstract

The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (RVOT) view, and 3-vessels and trachea (3VT) view in fetuses with double-outlet right ventricle (DORV). In this prospective study, thirty fetuses diagnosed with DORV by fetal echocardiography in the second and third trimesters were enrolled. One or more STIC volume data-sets were collected from the 4-chamber view as initial view for each fetus, one optimal volume per fetus was selected for on-line analysis using FINE, and the diagnosis plane image was optimized using the Virtual Intelligent Sonographer Assistance (VIS-assistance).The visualization rates of 3 specific abnormal fetal echocardiography views of DORV and key diagnostic elements were calculated. One or more STIC volumes (n = 30 total) were obtained in 25 patients. A single STIC volume per patient was analyzed using the FINE method. FINE was able to successfully generate and display 3 specific abnormal fetal echocardiography views. The display rates of the 3 specific abnormal fetal echocardiography views (3VT, LVOT, RVOT) were 84.0%, 76.0% and 84.0%, respectively. By applying intelligent navigation technology to STIC volume data-sets, the FINE method can successfully generate three specific abnormal cardiac fetal echocardiography diagnostic views in fetuses with DORV, the FINE method can be used for screening and remote consultation of fetal DORV.

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Crossref · 10.1007/s10554-020-01932-3

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References 32 · Cited by 24

Authors
Ma, M., Li, Y., Chen, R., Huang, C., Mao, Y., & Zhao, B.
Affiliations
Sir Run Run Shaw Hospital (CN)
Corresponding author
Zhao, Bowen
Venue
The International Journal of Cardiovascular Imaging
Published
2020-07-08
Volume
36
Issue
11
Pages
2165-2172
ISSN
  • 0167-9899 (ISSN-L)
  • 1569-5794
  • 1573-0743
OpenAlex
W3041173360
Cited by
24
References
32
Citations by year
2026: 2 · 2025: 6 · 2024: 4 · 2023: 7 · 2022: 3 · 2021: 2
FWCI
2.15
Type
journal article
Language
en
Open access
closed
Locations
  • International journal of cardiac imaging (publishedVersion)
  • PubMed (publishedVersion)
Funders
Zhejiang Province Public Welfare Technology Application Research Project (LGF18H180015)
Topics
  • Health Sciences › Medicine › Epidemiology › Congenital Heart Disease Studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Screening and Diagnostics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
Keywords
double outlet right ventricle, fetal echocardiography, fetal congenital heart disease
MeSH terms
Adult, Artificial Intelligence, Diagnosis, Computer-Assisted, Double Outlet Right Ventricle, Female, Fetal Heart, Gestational Age, Humans, Image Interpretation, Computer-Assisted, Predictive Value of Tests, Pregnancy, Reproducibility of Results, Ultrasonography, Prenatal, Echocardiography, Four-Dimensional, Young Adult, Anatomic Landmarks, Spatio-Temporal Analysis

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