Prenatal Diagnosis and Fetopsy Validation of Complete Atrioventricular Septal Defects Using the Fetal Intelligent Navigation Echocardiography Method
Open accessAbstract
(1) Background: Artificial Intelligence (AI) is a modern tool with numerous applications in the medical field. The case series reported here aimed to investigate the diagnostic performance of the fetal intelligent navigation echocardiography (FINE) method applied for the first time in the prenatal identification of atrioventricular septal defects (AVSD). This congenital heart disease (CHD) is associated with extracardiac anomalies and chromosomal abnormalities. Therefore, an early diagnosis is essential to advise parents and make adequate treatment decisions. (2) Methods: Four fetuses diagnosed with AVSD via two-dimensional (2D) ultrasound examination in the second trimester were enrolled. In all cases, the parents chose to terminate the pregnancy. Since the diagnosis of AVSD with 2D ultrasound may be missed, one or more four-dimensional (4D) spatiotemporal image correlation (STIC) volume datasets were obtained from a four-chamber view. The manual navigation enabled by the software is time-consuming and highly operator-dependent. (3) Results: FINE was applied to these volumes and nine standard fetal echocardiographic views were generated and optimized automatically, using the assistance of the virtual intelligent sonographer (VIS). Here, 100% of the four-chamber views, and after the VISA System application the five-chamber views, of the diagnostic plane showed the atrioventricular septal defect and a common AV valve. The autopsies of the fetuses confirmed the ultrasound results. (4) Conclusions: By applying intelligent navigation technology to the STIC volume datasets, 100% of the AVSD diagnoses were detected.
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Veronese et al. reported successful detection of four atrioventricular septum defects using the FINE system.
“In a case report, Veronese et al. reported the successful detection of four atrioventricular septum defects using the FINE system [54].”
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].”
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Research works printed but not linked: 1
- [26]Weichert J. Weichert A. A ‘holistic’ sonographic view on congenital heart disease—How automatic reconstruction using fetal intelligent navigation echocardiography (FINE) eases the unveiling of abnormal cardiac anatomy part I: Right heart anomalies Echocardiography 2021 38 1430 1445 10.1111/echo.15037 34232534 · DOI
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Jost, E., Kosian, P., Jimenez Cruz, J., Albarqouni, S., Gembruch, U., Strizek, B., & Recker, F. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12216833 · Cited by 44 · see citing works
“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 [51–54].”
BackgroundMethod
- Authors
- Veronese, P., Guariento, A., Cattapan, C., Fedrigo, M., Gervasi, M. T., Angelini, A., Riva, A., & Vida, V.
- Affiliations
- University of Padua (IT)
- Corresponding author
- Vida, Vladimiro
- Venue
- Diagnostics
- Publisher
- MDPI AG
- Published
- 2023-01-26
- Volume
- 13
- Issue
- 3
- Pages
- 456
- ISSN
- 2075-4418 (ISSN-L)
- PMC
- PMC9914343
- OpenAlex
- W4318203484
- Cited by
- 12
- References
- 29
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 2
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Diagnostics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Epidemiology › Congenital Heart Disease Studies
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Screening and Diagnostics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- atrioventricular septal defect, prenatal diagnosis, fetal echocardiography, spatiotemporal image correlation, congenital heart disease, second-trimester ultrasound, four-chamber view
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