Automated Analysis Algorithms in Second Trimester Obstetric Ultrasound
NCT ID: NCT04441866
Last Updated: 2021-06-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
52 participants
INTERVENTIONAL
2020-06-19
2021-04-30
Brief Summary
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Detailed Description
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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
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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Automated algorithms
Automated 3D techniques in measuring fetal biometry and reconstructing standard anatomical planes
Automated algorithms
Automated algorithms for measuring fetal biometry, and for the reconstruction of standard planes of fetal anatomy
Standard technique
Standard 2D assessment
Standard technique
Standard ultrasound examination without use of automated algorithms for measuring fetal biometry, and for the reconstruction of standard planes of fetal anatomy
Interventions
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Automated algorithms
Automated algorithms for measuring fetal biometry, and for the reconstruction of standard planes of fetal anatomy
Standard technique
Standard ultrasound examination without use of automated algorithms for measuring fetal biometry, and for the reconstruction of standard planes of fetal anatomy
Eligibility Criteria
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Inclusion Criteria
* Live fetus
* No fetal abnormalities
Exclusion Criteria
* Intrauterine fetal death
* Fetal abnormalities
18 Years
50 Years
FEMALE
Yes
Sponsors
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Università degli Studi di Brescia
OTHER
Responsible Party
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Federico Prefumo
Associate Professor
Locations
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Spedali Ciivli
Brescia, , Italy
Countries
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Other Identifiers
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NP3574
Identifier Type: -
Identifier Source: org_study_id
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