NCT04441866

Automated Analysis Algorithms in Second Trimester Obstetric Ultrasound

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 52 (actual)
• Sponsor: Università degli Studi di Brescia · Academic / Other
• Sex: Female
• Age: 18 Years – 50 Years
• Healthy volunteers: Accepted

Summary

This study aims to evaluate the effect of the use of automated algorithms for the measurement of fetal biometry, and for the reconstruction of standard planes of fetal anatomy, compared with the standard ultrasound technique, during the second trimester ultrasound scan.

Detailed description

In recent years in many ultrasound equipment were fitted with automated algorithms for measuring fetal biometry, and for the reconstruction of standard planes of fetal anatomy. Although there are studies that have assessed the application of these algorithms in terms of repeatability of the measurements made, or of possibility of acquiring diagnostic planes, there are no randomized controlled studies that evaluated their impact on the second trimester ultrasound scan. The aim of the study is to evaluate the effect of the use of automated algorithms for the measurement of fetal biometry, and for the reconstruction of standard planes of fetal anatomy, compared with the standard ultrasound technique, in terms of: * duration of the ultrasound scan * quality of biometric measurements * quality of the diagnostic planes * operator satisfaction

Conditions

• Ultrasonography, Prenatal

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Automated algorithms	Automated algorithms for measuring fetal biometry, and for the reconstruction of standard planes of fetal anatomy
DIAGNOSTIC_TEST	Standard technique	Standard ultrasound examination without use of automated algorithms for measuring fetal biometry, and for the reconstruction of standard planes of fetal anatomy

Timeline

• Start date: 2020-06-19
• Primary completion: 2020-09-30
• Completion: 2021-04-30
• First posted: 2020-06-22
• Last updated: 2021-06-14

Locations

1 site across 1 country: Italy