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A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women

NCT06044129 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2023-09-21

No results posted yet for this study

Summary

The aim of this study was to use MRI imaging to accurately scan the pregnant woman's pelvis and fetal skull, build a 3D model of them, and combine with artificial intelligence to develop an accurate tool to predict the success rate of vaginal delivery.

Conditions

  • Vaginal Delivery

Interventions

DEVICE

Mri scan of fetal head and pelvis

The pelvic parameters and fetal head parameters of pregnant women were measured by MRI, including pelvic entrance plane, middle pelvic plane, pelvic outlet plane, pubic arch Angle, double parietal diameter, occipitofrontal diameter, and suboccipital fontanel diameter.

Sponsors & Collaborators

  • Second Affiliated Hospital of Wenzhou Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
35 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2026-09-01
Completion
2026-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06044129 on ClinicalTrials.gov