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

Sponsor
Second Affiliated Hospital of Wenzhou Medical University (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT06044129
Collaborator
(none)
200
1
36
5.6

Study Details

Study Description

Brief 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.

Condition or Disease Intervention/Treatment Phase
  • Device: Mri scan of fetal head and pelvis

Study Design

Study Type:
Observational
Anticipated Enrollment :
200 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women
Anticipated Study Start Date :
Jan 1, 2024
Anticipated Primary Completion Date :
Sep 1, 2026
Anticipated Study Completion Date :
Dec 31, 2026

Arms and Interventions

Arm Intervention/Treatment
Vaginal trial labor group

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.

Outcome Measures

Primary Outcome Measures

  1. The mode of delivery [during delivery]

    Vaginal or cesarean delivery in the end

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 35 Years
Sexes Eligible for Study:
Female
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  • Full-term.

  • Single fetus, head first.

  • Pregnant women have vaginal couvade wishes.

  • Complete clinical data of pregnant women.

Exclusion Criteria:
  • Pregnancy with serious medical and surgical diseases.

  • Abnormal fetal position (such as transverse, breech, etc.).

  • Twin or multiple pregnancies.

  • Vaginal couvade contraindications such as placenta previa.

Contacts and Locations

Locations

Site City State Country Postal Code
1 department of obstetrics of Second Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang China 325027

Sponsors and Collaborators

  • Second Affiliated Hospital of Wenzhou Medical University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Second Affiliated Hospital of Wenzhou Medical University
ClinicalTrials.gov Identifier:
NCT06044129
Other Study ID Numbers:
  • SAHoWMU-CR2023-07-209
First Posted:
Sep 21, 2023
Last Update Posted:
Sep 21, 2023
Last Verified:
Sep 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No

Study Results

No Results Posted as of Sep 21, 2023