NCT06044129尚未招募不适用
A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women
Second Affiliated Hospital of Wenzhou Medical University1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2024年1月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- The mode of delivery
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 35 Years（Adult）
- 性别
- Female
- 接受健康志愿者
- 是
入选标准
- •Full-term.
- •Single fetus, head first.
- •Pregnant women have vaginal couvade wishes.
- •Complete clinical data of pregnant women.
排除标准
- •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.
结局指标
主要结局
The mode of delivery
时间窗: during delivery
Vaginal or cesarean delivery in the end
次要结局
未报告次要终点
研究者
研究点 (1)
Loading locations...
相似试验
已完成
不适用
Placenta Imaging ProjectHigh Risk PregnancyNCT02749851Oregon Health and Science University379
已完成
不适用
Advanced MRI for Uteroplacental Flow, Perfusion, Oxygenation & InflammationPregnancyPreeclampsiaObesityNCT02791568University of Wisconsin, Madison121
终止
不适用
The Value of Advanced MR Imaging in Gynecological Tumors and Benign Uterine FibroidsGynecologic TumorNCT03993210Dana-Farber Cancer Institute1
已完成
不适用
Magnetic Resonance Imaging Autopsy StudyStillbirthsSudden Infant DeathNCT01417962Thayyil, Sudhin400
撤回
不适用
Fetal MRI Acquisition and Sequence DevelopmentPregnancy RelatedNCT05253742Massachusetts General Hospital60