Ma Mingming, Li Yuhui, Chen Ran, Huang Chao, Mao Yankai, Zhao Bowen
Department of Diagnostic Ultrasound and Echocardiography, Sir Run Run Shaw Hospital, Zhejiang University College of Medicine, Hangzhou, People's Republic of China.
Int J Cardiovasc Imaging. 2020 Nov;36(11):2165-2172. doi: 10.1007/s10554-020-01932-3. Epub 2020 Jul 8.
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (RVOT) view, and 3-vessels and trachea (3VT) view in fetuses with double-outlet right ventricle (DORV). In this prospective study, thirty fetuses diagnosed with DORV by fetal echocardiography in the second and third trimesters were enrolled. One or more STIC volume data-sets were collected from the 4-chamber view as initial view for each fetus, one optimal volume per fetus was selected for on-line analysis using FINE, and the diagnosis plane image was optimized using the Virtual Intelligent Sonographer Assistance (VIS-assistance).The visualization rates of 3 specific abnormal fetal echocardiography views of DORV and key diagnostic elements were calculated. One or more STIC volumes (n = 30 total) were obtained in 25 patients. A single STIC volume per patient was analyzed using the FINE method. FINE was able to successfully generate and display 3 specific abnormal fetal echocardiography views. The display rates of the 3 specific abnormal fetal echocardiography views (3VT, LVOT, RVOT) were 84.0%, 76.0% and 84.0%, respectively. By applying intelligent navigation technology to STIC volume data-sets, the FINE method can successfully generate three specific abnormal cardiac fetal echocardiography diagnostic views in fetuses with DORV, the FINE method can be used for screening and remote consultation of fetal DORV.
本研究的主要目的是探讨胎儿心脏智能导航成像(FINE)技术在双出口右心室(DORV)胎儿中生成并显示3种特定异常胎儿超声心动图切面(如左心室流出道(LVOT)切面、右心室流出道(RVOT)切面和三血管气管(3VT)切面)的诊断性能。在这项前瞻性研究中,纳入了30例在孕中期和孕晚期经胎儿超声心动图诊断为DORV的胎儿。从四腔心切面为每个胎儿采集一个或多个时空图像相关采集(STIC)容积数据集作为初始图像,为每个胎儿选择一个最佳容积用于使用FINE进行在线分析,并使用虚拟智能超声辅助(VIS辅助)优化诊断平面图像。计算DORV的3种特定异常胎儿超声心动图切面及关键诊断要素的可视化率。25例患者获得了一个或多个STIC容积(共30个)。使用FINE方法分析每位患者的单个STIC容积。FINE能够成功生成并显示3种特定异常胎儿超声心动图切面。3种特定异常胎儿超声心动图切面(3VT、LVOT、RVOT)的显示率分别为84.0%、76.0%和84.0%。通过将智能导航技术应用于STIC容积数据集,FINE方法可在DORV胎儿中成功生成三种特定异常心脏胎儿超声心动图诊断切面,FINE方法可用于胎儿DORV的筛查和远程会诊。