NCT06314178

Brief Summary

The primary aim of this observational study is to compare the accuracy of two artificial intelligence (AI) models with the traditional Hadlock formula for estimating fetal weight from ultrasound scans performed in pregnant women between 24 and 42 weeks of gestation. The secondary aim is to investigate potential demographic bias in the AI models. The demographic factors examined include body mass index (BMI), parity, gestational age, maternal age, fetal sex, and the presence of preeclampsia. Participants' ultrasound scans will be pseudonymized and securely stored on password-protected removable drives to ensure the protection of their identity and privacy. The ultrasound data will subsequently be transferred to the Technical University of Denmark (DTU), where the AI models will analyze the images to estimate fetal weight.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
283

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jul 2024

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 6, 2024

Completed
9 days until next milestone

First Posted

Study publicly available on registry

March 15, 2024

Completed
4 months until next milestone

Study Start

First participant enrolled

July 1, 2024

Completed
1.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 30, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2025

Completed
Last Updated

June 12, 2026

Status Verified

June 1, 2026

Enrollment Period

1.5 years

First QC Date

March 6, 2024

Last Update Submit

June 11, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • Comparing the accuracy of the Hadlock formula and the AI model

    The primary objective is to compare the accuracy of fetal weight estimation between the Hadlock formula and two deep learning models in clinical practice

    From enrollment to the birth of the child

Secondary Outcomes (1)

  • Demographic biases

    From enrollment to the birth of the child

Study Arms (1)

Pregnant women between 24-42 weeks of gestation

No interventions

Eligibility Criteria

Sexfemale(Gender-based eligibility)
Gender Eligibility DetailsPregnant women between 24-42 weeks of gestation.
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Department of Prenatal Examinations at Rigshospitalet, Copenhagen, Denmark.

You may qualify if:

  • Women with gestational age between 24-42 weeks undergoing a third-trimester growth scan.

You may not qualify if:

  • Women with multiple pregnancies.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Copenhagen University Hospital, Rigshospitalet

Copenhagen, Denmark

Location

Related Publications (1)

  • Salomon LJ, Alfirevic Z, Da Silva Costa F, Deter RL, Figueras F, Ghi T, Glanc P, Khalil A, Lee W, Napolitano R, Papageorghiou A, Sotiriadis A, Stirnemann J, Toi A, Yeo G. ISUOG Practice Guidelines: ultrasound assessment of fetal biometry and growth. Ultrasound Obstet Gynecol. 2019 Jun;53(6):715-723. doi: 10.1002/uog.20272.

    PMID: 31169958BACKGROUND

MeSH Terms

Conditions

Pregnancy Complications

Condition Hierarchy (Ancestors)

Female Urogenital Diseases and Pregnancy ComplicationsUrogenital Diseases

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

March 6, 2024

First Posted

March 15, 2024

Study Start

July 1, 2024

Primary Completion

December 30, 2025

Study Completion

December 30, 2025

Last Updated

June 12, 2026

Record last verified: 2026-06

Locations