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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Vaginal trial labor group |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Mri scan of fetal head and pelvis | Device | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| The mode of delivery | Vaginal or cesarean delivery in the end | during delivery |
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Inclusion Criteria:
Exclusion Criteria:
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Full-term single live pregnant women who gave birth in the Department of Obstetrics of the Second Affiliated Hospital of Wenzhou Medical University from January 1, 2024 to December 31, 2026 were selected as the study population
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ying Hua | Contact | +8613676403165 | +8613676403165 | wzfeyhy1015@126.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| department of obstetrics of Second Affiliated Hospital of Wenzhou Medical University | Wenzhou | Zhejiang | 325027 | China |
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