Success rate to complete optimal 20 + 2 ISUOG planes for foetal ultrasonographic structural screening during early second trimester pregnancy in Thailand

Abstract

Objective To compare the success rates of obtaining optimal 20 + 2 (2 overview + 20 planes) International Society of Ultrasound in Obstetrics and Gynaecology (ISUOG) planes for foetal ultrasound structural screening between pregnant women at gestational age (GA) 18–20 weeks and 20–22 weeks 6 days Methods A prospective descriptive study was conducted. Singleton pregnant women at GA 18–22 weeks + 6 days attending antenatal clinic between December 2019 and March 2020 were invited to participate in the study. Women whose foetuses had obvious structural anomalies were excluded. The ultrasound screening using 20 + 2 ISUOG protocol was performed by 21 operators who had completed the online ISUOG basic training programme with an experience of ultrasound scanning of at least 30 cases. The success rates of achieving optimal planes between GA 18–20 weeks and 20–22 weeks 6 days were compared using Chi-square test. Common suboptimal planes in the ultrasound scan were also presented. Results Optimal 20 + 2 ISUOG planes were successfully assessed in 97/126 (77%) and 112/126 (88.9%) patients in the group with a GA < 20 weeks and in the group with a GA ≥ 20 weeks, respectively. Overall success rate was 82.9%. The success rate for the GA < 20 weeks group was significantly lower than that for the GA ≥ 20 weeks group. The group with a GA ≥ 20 weeks had a 1.2 times higher success rate than the group with a GA < 20 weeks. The most common suboptimal planes were the facial planes, especially the median facial profile, and foetal thoracic planes. Conclusions We prefer to perform foetal structural screening using US with the 20 + 2 ISUOG protocol at a GA 20 to 22 weeks and 6 days with the aim reducing the need for repeat scans.

Feasibility and Acceptance of Self-Guided Mobile Ultrasound among Pregnant Women in Routine Prenatal Care

“…The finding that the majority of the pregnant women (87.0%) would prefer l port during the self-examination is in line with a 2019 survey by Schramm et al in 509 women, in which skeptical attitudes toward pregnancy self-monitoring were when the procedure was combined with web-based consultation with a physician With regard to the accuracy of self-examination with ultrasound devices in sent study, the success rate for locating the amniotic fluid (43.5% for images, 5 videos) and fetal heartbeat (52.2% for videos) was good as this was the first time h the ultrasound device and even trainees in obstetrics and gynecology need more months of clinical experience to manage ultrasound examinations independently particular, displaying the fetal profile is known to be technically demanding [13] was accordingly the most challenging task with low success rates (14.3% for image for videos). Depending on factors such as the fetal position, even experienced raphers cannot always visualize the fetal face sufficiently (frequency of incomple alization 6-9% [14,15]).…”

“…In particular, displaying the fetal profile is known to be technically demanding [ 13 ] and this was accordingly the most challenging task with low success rates (14.3% for images, 17.9% for videos). Depending on factors such as the fetal position, even experienced sonographers cannot always visualize the fetal face sufficiently (frequency of incomplete visualization 6–9% [ 14 , 15 ]).…”

The application of artificial intelligence in the sonography profession: Professional and educational considerations

“…ScanNAV assist (Intelligent Ultrasound) available on some GE systems recognises the 20 views recommended by the International Society of Ultrasound in Obstetrics and Gynaecology for second trimester foetal screening. 33 Other designs include the Philips HeartModel system, an automated ML algorithm that can quickly measure dynamic LV and LA volumes and accurately analyse ejection and filling parameters (Figure 3). 34 The apparent potential is for the novice practitioner, particularly in educational settings.…”