Objective
Fetal Intelligent Navigation Echocardiography (FINE) is a novel method that automatically generates and displays nine standard fetal echocardiography views in normal hearts by applying intelligent navigation technology to spatiotemporal image correlation (STIC) volume datasets. The main objective was to determine the sensitivity and specificity of FINE in the prenatal detection of congenital heart disease (CHD).
Methods
A 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 four-dimensional ultrasound with STIC technology, volume datasets were acquired. After all identifying information was removed, the datasets 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 (LR) were determined.
Results
The diagnostic performance of FINE for the prenatal detection of CHD was: sensitivity 98% (49/50), specificity 93% (93/100), positive LR of 14, and negative LR of 0.02. Among cases with confirmed CHD, the diagnosis based upon FINE completely matched the final diagnosis in 74% (37/50), minor discrepancies were seen in 12% (6/50), and major discrepancies were seen in 14% (7/50).
Conclusions
We present for the first time the sensitivity and specificity of the FINE method in fetuses with normal hearts and CHD in the second and third trimesters. Since FINE identifies a broad spectrum of CHD with 98% sensitivity, this method could be used prenatally to screen for and diagnose CHD.