Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV)
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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Four included studies investigated the application of FINE as a reliable technique that enabled automated acquisition of nine standard echocardiographic views from specific 4D volumes of a single cardiac cycle in motion.
“Four of the included studies investigated the application of fetal intelligent navigation echocardiography (FINE) as a reliable technique that enabled the automated acquisition of nine standard echocardiographic views from specific 4D volumes of a single cardiac cycle in motion [51,52,53,54].”
Ma et al. confirmed the application of FINE in abnormal anatomical hearts through successful generation of three standard views in 30 fetuses with double-outlet right ventricles.
“Ma et al. confirmed the application of FINE in abnormal anatomical hearts through the successful generation of three standard views in 30 fetuses with double-outlet right ventricles [53].”
Advantages of AI in fetal echocardiography include facilitation of standard view acquisition and CHD detection, and significant reduction in examination time.
“Advantages are the facilitation of standard view acquisition [58,60] and CHD detection [53,61,62], as well as a significant reduction in examination time [52,55].”
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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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