A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women
NCT ID: NCT06044129
Last Updated: 2023-09-21
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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NOT_YET_RECRUITING
200 participants
OBSERVATIONAL
2024-01-01
2026-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Vaginal trial labor group
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* Single fetus, head first.
* Pregnant women have vaginal couvade wishes.
* Complete clinical data of pregnant women.
Exclusion Criteria
* Abnormal fetal position (such as transverse, breech, etc.).
* Twin or multiple pregnancies.
* Vaginal couvade contraindications such as placenta previa.
18 Years
35 Years
FEMALE
Yes
Sponsors
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Second Affiliated Hospital of Wenzhou Medical University
OTHER
Responsible Party
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Locations
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department of obstetrics of Second Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China
Countries
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Central Contacts
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Other Identifiers
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SAHoWMU-CR2023-07-209
Identifier Type: -
Identifier Source: org_study_id
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