Improvement of diagnostic efficiency in fetal congenital heart disease using fetal intelligent navigation echocardiography by less‐experienced operators

Autor: Ran, Chen, Xiaoying, Tao, Xia, Wu, Lihua, Sun, Mingming, Ma, Bowen, Zhao
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Gynecology & Obstetrics. 160:136-144
ISSN: 1879-3479
0020-7292
DOI: 10.1002/ijgo.14303
Popis: This study investigated the feasibility and accuracy of fetal intelligent navigation echocardiography (FINE) for the prenatal diagnosis of congenital heart disease (CHD) by inexperienced and experienced operators.In this prospective study, all volume data sets from 120 fetuses with a broad spectrum of CHD were acquired using spatiotemporal image correlation technology. The prenatal diagnostic procedures were performed by two operators with different experience (beginner: 1 year and expert: 15 years) using FINE and traditional fetal echocardiography. Data were analyzed on the time of examination and acquisition of results.Diagnoses made by FINE and traditional echocardiography were completely consistent with the final diagnosis of CHD in 98 (81.66%) versus 20 (16.66%) (P 0.001) beginners and 87.50% (n = 105) versus 101 (84.16%) experts, respectively. On the contrary, there was significant difference using traditional echocardiography (16.66% versus 84.16%, P 0.001) by two examiners. Furthermore, the examination time decreased when using FINE compared with using traditional echocardiography (beginner operators: 4.54 ± 1.03 min versus 20.58 ± 3.36 min, P 0.001; expert operators: 3.89 ± 0.96 min versus 12.73 ± 1.62 min, P 0.001).Based on our results, a prenatal diagnosis of CHD can be made with high feasibility and accuracy using FINE compared with traditional fetal echocardiography for beginner operators.
Databáze: OpenAIRE