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 |
---|---|---|
|
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
- 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