| 张昕,李楠楠,李菊菊,寇秀梅,徐春琪,闫锐.孕晚期MRI量化子宫指标预测产时宫缩乏力[J].中国医学影像技术,2025,41(1):109~112 |
| 孕晚期MRI量化子宫指标预测产时宫缩乏力 |
| MRI quantified uterine indictors in late pregnancy for predicting uterine inertia in delivery |
| 投稿时间：2024-06-06 修订日期：2024-11-01 |
| DOI：10.13929/j.issn.1003-3289.2025.01.023 |
| 中文关键词: 宫缩乏力 妊娠期,晚期 子宫 磁共振成像 |
| 英文关键词:uterine inertia pregnancy trimester, third uterus magnetic resonance imaging |
| 基金项目:陕西省重点研发计划项目(2024SF-YBXM-239)。 |
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| 中文摘要: |
| 目的 观察孕晚期MRI量化分析子宫指标预测产时宫缩乏力的价值。方法 回顾性纳入182名孕妇,根据分娩记录或剖宫产手术记录分为宫缩乏力组(乏力组,n=67)及无宫缩乏力组(非乏力组,n=115);比较组间MRI量化子宫指标,将组间存在统计学差异的指标纳入多因素logistic回归分析,构建预测宫缩乏力模型;采用受试者工作特征(ROC)曲线及其曲线下面积(AUC)评估模型预测效能。结果 乏力组孕妇子宫手术次数、接受体外受精胚胎移植(IVF-ET)占比及剖宫产占比均高于无乏力组(P均＜0.05)。乏力组孕晚期子宫上下径、宫颈长度及胎盘附着处子宫肌层厚度均大于无乏力组(P均＜0.05)。子宫手术次数增加、接受IVF-ET,以及孕晚期子宫上下径增加及宫颈长度增加均为产时宫缩乏力的独立预测因素(P均＜0.05),以之建立的预测宫缩乏力多因素logistic回归模型的AUC为0.733。结论 孕晚期 MRI量化子宫指标可用于预测产时宫缩乏力。 |
| 英文摘要: |
| Objective To observe the value of MRI quantified uterine indictors in late pregnancy for predicting uterine inertia in delivery. Methods A total of 182 pregnant women were retrospectively collected and were divided into uterine inertia group (inertia group, n=67) and non-uterine inertia group (non-inertia group, n=115) based on delivery or cesarean section records. MRI quantified uterine indicators were compared between groups, and those being statistically different were included to build a multivariate logistic regression model for predicting uterine inertia in delivery. The predictive performance of this model was evaluated using receiver operating characteristic (ROC) curve and the area under the curve (AUC). Results The inertia group had more previous uterine surgeries, also higher proportion of in vitro fertilization and embryo transfer (IVF-ET) and cesarean sections compared to the non-inertia group (all P＜0.05). In late pregnancy, the longitudinal diameter of the uterus, cervical length and the thickness of the myometrium at the placental attachment site in inertia group were larger than those in non-inertia group (all P＜0.05). Increased times of previous uterine surgeries, undergoing IVF-ET, as well as increased longitudinal diameter of the uterus and cervical length in late pregnancy were all independent predictors of uterine inertia in delivery (all P＜0.05). AUC of the multivariate logistic regression model established based on the above factors for predicting uterine inertia in delivery was 0.733. Conclusion MRI quantified uterine indictors in late pregnancy could be used to predict uterine inertia in delivery. |
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