Trials / Not Yet Recruiting
Not Yet RecruitingNCT06044129
A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women
- Status
- Not Yet Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 200 (estimated)
- Sponsor
- Second Affiliated Hospital of Wenzhou Medical University · Academic / Other
- Sex
- Female
- Age
- 18 Years – 35 Years
- Healthy volunteers
- Accepted
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
Interventions
| Type | Name | Description |
|---|---|---|
| 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. |
Timeline
- Start date
- 2024-01-01
- Primary completion
- 2026-09-01
- Completion
- 2026-12-31
- First posted
- 2023-09-21
- Last updated
- 2023-09-21
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06044129. Inclusion in this directory is not an endorsement.