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Clinical Trials/NCT03002246
NCT03002246
Completed
Not Applicable

Automated Fetal Weight Estimation: A Multicenter Validation Using Fractional Limb Volume

Baylor College of Medicine0 sites330 target enrollmentJanuary 6, 2017

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Birth Weight
Sponsor
Baylor College of Medicine
Enrollment
330
Primary Endpoint
Comparison Between 5D Limb Vol and 2D Birth weight Prediction
Status
Completed
Last Updated
6 years ago

Overview

Brief Summary

This trial is a collaborative study between 4 sites worldwide. A total of 600 research subjects will be enrolled. We will investigate the validity of using 5D Limb Volume software to improve on estimated fetal weight predictions over a broad range of gestational ages. The purpose is to compare the accuracy and precision of birth weight predictions based on this new technology as compared to the current 2D birth weight prediction models.

Detailed Description

Ultrasound has been used for over 20 years to estimate fetal weight prior to birth. Sometimes this estimation is not always similar to what the baby actually weighs. In addition to the regular measurements taken at routine ultrasound exams, 3D ultrasound of the baby's arm and leg soft tissue may give us more precise information on how much the baby weighs. This measurement is called fractional limb volume. Fractional limb volume (FLV) is a soft tissue measurement of the arm or thigh that can be used to evaluate body composition. This measurement mostly reflects the fat and muscle development with a small amount of bone. The recent introduction of 5D Limb Volume software (Samsung, Seoul, Korea) now makes it possible to efficiently and reproducibly measure semi-automated FLV using a computer guided technique. Subjects will receive one ultrasound scan 4-7 days before their delivery. Both 2D and 3D measurements will be taken. These measurements will then be used to estimate fetal weight. We will compare estimated weight to actual birth weight in order to determine the accuracy and precision of the 5D Limb Volume technology. This data may also be used to develop new weight estimation models that could provide better accuracy and/or precision than what is currently provided using published methods.

Registry
clinicaltrials.gov
Start Date
January 6, 2017
End Date
January 31, 2019
Last Updated
6 years ago
Study Type
Observational
Sex
Female

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Wesley Lee

Dr. Wesley Lee

Baylor College of Medicine

Eligibility Criteria

Inclusion Criteria

  • Pregnant women (28-42 weeks) within 4-7 days of delivery
  • Planned delivery at the collaborating hospital where the fetal US scan was performed
  • Body mass index at first official prenatal appointment below 35.0 kg/M2
  • Firm US dating criteria (early crown-rump length \< 14 weeks gestational age)

Exclusion Criteria

  • Presence of technical factors (e.g. obesity) that make it difficult to visualize fetal structures
  • Oligohydramnios determined by amniotic fluid index less than 5cm
  • Fetal distress or unstable maternal condition
  • Structural or chromosomal fetal anomalies

Outcomes

Primary Outcomes

Comparison Between 5D Limb Vol and 2D Birth weight Prediction

Time Frame: Feb 2017 -Feb 2018

Compare the accuracy and precision of BW predictions based on 5D Limb Vol technology in pregnant women as compared to 2D BW prediction models

Secondary Outcomes

  • Birth weight Predictions in Suspected Growth Abnormalities(Feb 2017 - Feb 2018)

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