To evaluate the value of Fetal Intelligent Navigation Echocardiography (FINE) and Virtual Intelligent Sonographer Assistance (VIS-Assistance^?) in the screening of fetal double-outlet right ventricle (DORV).

This study included 30 pregnant women diagnosed with fetal DORV who underwent fetal echocardiography at the Sir Run Run Shaw Hospital from September 2018 to December 2019. Three to five sets of three-dimensional volume data of the heart were collected and the best image quality was selected using the FINE technique for off-line analysis. The diagnostic plane image was optimized by using VIS-Assistance^? function, and nine standard diagnostic planes were obtained. The essential information of four diagnostic sections (three-vessel tracheal view, four chamber view, left ventricular outflow view , and right ventricle outflow view) was scored, the display rates of each diagnostic plane and its diagnostic factors were analyzed, and the scoring results obtained by the same observer in different periods and those obtained by different observers in the same period were compared.

FINE and VIS-Assistance^? were applied to the fetal volume data in 30 cases, of which 25 were analyzed, with a success rate of 83.3%. The display rates of the four diagnostic sections were 84.0%, 88.0%, 72.0%,and 84.0%, respectively. There was no significant difference in the scores obtained by the same observer at different time points, the scores obtained by two relatively inexperienced physicians, and the scores obtained by two relatively inexperienced physicians and one experienced physician (P＞0.05).

FINE combined with VIS-Assistance^? demonstrates a high success rate in producing four specific cardiac diagnostic sections in fetuses with DORV, has good consistency and repeatability, and therefore can be used for prenatal screening of fetal DORV.