Optimization of Fetal Biometry With 3D Ultrasound and Image Recognition

NCT ID: NCT03812471

Last Updated: 2023-04-14

Study Results

Results pending

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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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

265 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-10-23

Study Completion Date

2023-03-17

Brief Summary

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In the proposed clinical investigation, the investigational device (BabySize3D) will provide automated plane extraction and automated biometry measurements from 3D US volumes. The results obtained from the investigational software

Detailed Description

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Conditions

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Pregnancy Related

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Main study: 3D volumes acquisitions

3D volume acquisitions

Group Type EXPERIMENTAL

3D volume acquisitions

Intervention Type DEVICE

2 abdominal volumes 2 thigh volumes 2 head volumes

Ancillary study: 2D and 3D acquisitions

2D standard measurements and 3D volumes acquisitions

Group Type EXPERIMENTAL

2D standard measurements and 3D volumes acquisitions

Intervention Type DEVICE

* 1 abdomen circumference measurement
* 1 femur length measurement
* 1 head circumference measurement
* 1 bi-parietal diameter measurement
* 1 abdominal volume
* 1 thigh volume
* 1 head volume

Interventions

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3D volume acquisitions

2 abdominal volumes 2 thigh volumes 2 head volumes

Intervention Type DEVICE

2D standard measurements and 3D volumes acquisitions

* 1 abdomen circumference measurement
* 1 femur length measurement
* 1 head circumference measurement
* 1 bi-parietal diameter measurement
* 1 abdominal volume
* 1 thigh volume
* 1 head volume

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* evolutive pregnancy with one fetus with a Gestational Age between 16 and 30 weeks
* aged between 18 and 65 years.
* social welfare benefit recipient
* willing and able to provide informed consent

Exclusion Criteria

* under 18 years old
* multiple pregnancy
* over 18 years old and mentioned in French law articles L.1126-6 et L-1126-8,
* fetal malformation or suspected fetal malformation
* technical conditions that do not allow for standard fetal biometry (abdominal wall, fetal position, BMI \> 25 kg/m2)
* fetal biometry non indicated in the standard pregnancy follow-up
* unwilling or unable to provide informed consent (e. g. physical, mental disability or linguistic factor that compromises patient information)
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Philips Electronics Nederland B.V. acting through Philips CTO organization

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Gaëlle Gaëlle AMBROISE-GRANDJEAN

Role: PRINCIPAL_INVESTIGATOR

CHRU de Nancy

Locations

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CHRU de Nancy Brabois

Nancy, , France

Site Status

Countries

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France

References

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Ambroise Grandjean G, Hossu G, Banasiak C, Ciofolo-Veit C, Raynaud C, Rouet L, Morel O, Beaumont M. Optimization of Fetal Biometry With 3D Ultrasound and Image Recognition (EPICEA): protocol for a prospective cross-sectional study. BMJ Open. 2019 Dec 15;9(12):e031777. doi: 10.1136/bmjopen-2019-031777.

Reference Type DERIVED
PMID: 31843832 (View on PubMed)

Other Identifiers

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ICBE-2-24301

Identifier Type: -

Identifier Source: org_study_id

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