ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2018
Fetal Intelligent Navigation Echocardiography (FINE) Detects 98% of Congenital Heart Disease.
Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 63 citations in OpenAlex.
- Quantitative Ultrasound Imaging and Artificial Intelligence in Neonatal Echocardiography: Methodological Advances, Reproducibility Challenges, and Computational Perspectives.Journal of imaging · 2026Review
- TLEUDS: a cascade Dual-Transfer learning system with quality- and knowledge-enhanced for precise fetal CHD screening.BioData mining · 2026Article
- Three-Dimensional Visualization and Detection of the Pulmonary Venous-Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening.Bioengineering (Basel, Switzerland) · 2026Article
- Criss-cross heart with complex cardiac malformation, situs inversus totalis and bronchial dysplasia.BMC cardiovascular disorders · 2025Article
- Artificial intelligence in fetal echocardiography: Recent advances and future prospects.International journal of cardiology. Heart & vasculature · 2024Review
- Can Artificial Intelligence Revolutionize the Diagnosis and Management of the Atrial Septal Defect in Children?Diagnostics (Basel, Switzerland) · 2024Review
- Semi-Automatic Measurement of Fetal Cardiac Axis in Fetuses with Congenital Heart Disease (CHD) with Fetal Intelligent Navigation Echocardiography (FINE).Journal of clinical medicine · 2023Article
- A deep-learning pipeline to diagnose pediatric intussusception and assess severity during ultrasound scanning: a multicenter retrospective-prospective study.NPJ digital medicine · 2023Article
- Fetal intelligent navigation echocardiography (FINE) has superior performance compared to manual navigation of the fetal heart by non-expert sonologists.Journal of perinatal medicine · 2023Observational
- Article
- Prenatal Diagnosis and Fetopsy Validation of Complete Atrioventricular Septal Defects Using the Fetal Intelligent Navigation Echocardiography Method.Diagnostics (Basel, Switzerland) · 2023Article
- Maximal Reduction of STIC Acquisition Time for Volumetric Assessment of the Fetal Heart-Benefits and Limitations of Semiautomatic Fetal Intelligent Navigation Echocardiography (FINE) Static Mode.Journal of clinical medicine · 2022Article
- New and advanced features of fetal intelligent navigation echocardiography (FINE) or 5D heart.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2022Article
- The Use of Artificial Intelligence in Automation in the Fields of Gynaecology and Obstetrics - an Assessment of the State of Play.Geburtshilfe und Frauenheilkunde · 2021Article
- Obstetric ultrasound: where are we and where are we going?Ultrasonography (Seoul, Korea) · 2021Article
- Artificial Intelligence in Prenatal Ultrasound Diagnosis.Frontiers in medicine · 2021Review
- Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).The international journal of cardiovascular imaging · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
objectiveFetal intelligent navigation echocardiography (FINE) is a novel method that automatically generates and displays 9 standard fetal echocardiographic views in normal hearts by applying intelligent navigation technology to spatiotemporal image correlation (STIC) volume data sets. The main objective was to determine the sensitivity and specificity of FINE in the prenatal detection of congenital heart disease (CHD).
methodsA case-control study was conducted in 50 fetuses with a broad spectrum of CHD (cases) and 100 fetuses with normal hearts (controls) in the second and third trimesters. Using 4-dimensional ultrasound with STIC technology, volume data sets were acquired. After all identifying information was removed, the data sets were randomly distributed to a different investigator for analysis using FINE. The sensitivity and specificity for the prenatal detection of CHD, as well as positive and negative likelihood ratios were determined.
resultsThe diagnostic performance of FINE for the prenatal detection of CHD was: sensitivity of 98% (49 of 50), specificity of 93% (93 of 100), positive likelihood ratio of 14, and negative likelihood ratio of 0.02. Among cases with confirmed CHD, the diagnosis with use of FINE completely matched the final diagnosis in 74% (37 of 50); minor discrepancies were seen in 12% (6 of 50), and major discrepancies were seen in 14% (7 of 50).
conclusionsThis is the first time the sensitivity and specificity of the FINE method in fetuses with normal hearts and CHD in the second and third trimesters has been reported. Because FINE identifies a broad spectrum of CHD with 98% sensitivity, this method could be used prenatally to screen for and diagnose CHD.
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