Abstract Body (Do not enter title and authors here): Objective To evaluate the value of combined fetal heart V-angle (VSA), cardiothoracic ratio (CTR), whole heart spherical index (GSI) and axis of the heart (CAx) in predicting congenital heart disease (CHD) in early pregnancy by using color Doppler ultrasonography.
Methods From January 2022 to March 2024, 2529 fetuses with normal fetal heart color Doppler ultrasonography and 50 fetuses with CHD were collected from 11+0 weeks to 16+0 weeks at the double center of Beijing Haidian District Maternal and Child Health Hospital and Fujian Provincial Maternal and Child Health Hospital. The correlation of parameters in early pregnancy and gestational week (GA) was analyzed. The normal reference range and model were established and verified. Based on the established model, the diagnostic efficacy of the four parameters for CHD was quantitatively evaluated and its clinical application value was discussed.
Results There was negative correlation between VSA and GA, positive correlation between CTR and GSI, and no correlation between CAx and GA. Complete the construction of Z-value model of four parameters and the normal reference range of four parameters in five groups of gestational weeks; The establishment of polynomial linear regression model can effectively improve the detection rate of CHD by monomial regression model with single parameter. According to different fetal CHD classification forms, the four parameters have statistical significance in abnormal CHD sites and critical CHD, and can be used as effective parameters for screening CHD in early pregnancy.
Conclusion In this study, the four parameters of CAx, CTR, VSA and CSI can be used as effective parameters for the diagnosis of fetal CHD in early pregnancy. The normal reference range of four parameters in early pregnancy and the combined prediction model of multiple parameters were established for the first time, and the correlation between each parameter and GA in early pregnancy was analyzed to provide quantitative indicators for CHD screening. Further improve the accuracy of CHD early pregnancy prediction.