Department of Gynecology, Third Xiangya Hospital, Central South University, Changsha 410013.
Department of Ultrasound, Hunan Guangxiu Hospital, Changsha 410205, China.
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2022 Nov 28;47(11):1600-1607. doi: 10.11817/j.issn.1672-7347.2022.220179.
The incidence of infertility is increasing, more than 30% of them having related abnormal tubal patency. Four-dimensional (4D) hysterosalpingo-contrast sonography (HyCoSy) overcomes the shortcomings of 3D HyCoSy in the diagnosis of tubal patency, showing high specificity and accuracy. In addition, 4D HyCoSy discards iodine allergy and X-ray radiation and possesses easy-operating, contributing to good acceptance in clinical practice. However, there is no research to explore the imaging standards related to the possibility of natural pregnancy after 4D HyCoSy. If a predictive model of postoperative natural pregnancy was established using the analysis of clinical data combined with imaging characteristics of 4D HyCoSy of patients with tubal factor infertility, clinical decision-making can be wisely guided in the future. This study aims to establish a predictive model of natural pregnancy after 4D HyCoSy based on clinical data and imaging characteristics of patients with tubal factor in fertility.
A retrospective study was conducted for patients who were diagnosed with tubal factor infertility in Hunan Guangxiu Hospital from February 2017 to May 2018. The patients ought to possess complete 4D HyCoSy imaging data and at least one-side-unobstructed fallopian tube. General clinical data and imaging data were collected. Pregnancy outcome was followed up till 3 months after 4D HyCoSy. According to pregnancy outcome, patients were divided into a pregnancy group and a non-pregnancy group. Binary logistic regression was used to analyze the correlation between various variables and natural pregnancy after 4D HyCoSy. The variables with significant difference (P<0.05) in single-factor logistic regression were included in the natural pregnancy probability prediction model. The classification accuracy was further verified with 10-fold cross-validation.
A total of 1 085 patients with clinically suspected tubal factor infertility who met the requirements and followed the doctors' prescription were collected. Clinical characteristics (age and duration of infertility) and 4D HyCoSy imaging characteristics (thickness of endometrium from the 3rd to the 7th day after the end of menstruation, visualization of the left fallopian tube, the diffusion of contrast agent around the left ovary, and the diffusion of contrast agent around the right ovary) were independent predictors for natural pregnancy 3 months after 4D HyCoSy. A natural pregnancy probability prediction model was established with the area under the curve (AUC) verified by the 10-fold cross-validation all greater than 0.75, and the best AUC was 0.868. The Q value obtained by the prediction model was the probability of natural pregnancy, and the cutoff value was 0.5. When the Q value was greater than 0.5, it was recommended to attempt natural pregnancy for 3 months, and when the Q value was less than 0.5, in vitro fertilization was adviced.
A predictive model for the evaluating probability of natural pregnancy in women with tubal factor infertility after 4D HyCoSy is successfully established based on the analysis for clinical data and imaging characteristics. This model shows a great potential in assisting clinical decision making.
不孕症的发病率不断上升,其中超过 30%的患者存在相关的输卵管通畅度异常。四维(4D)子宫输卵管造影术(HyCoSy)克服了三维 HyCoSy 在输卵管通畅度诊断方面的不足,具有较高的特异性和准确性。此外,4D HyCoSy 摒弃了碘过敏和 X 射线辐射的缺点,操作简单,在临床实践中易于接受。然而,目前还没有研究探讨与 4D HyCoSy 后自然妊娠可能性相关的影像学标准。如果能够利用患者输卵管性不孕的临床数据和 4D HyCoSy 影像学特征,建立术后自然妊娠的预测模型,那么未来的临床决策将能够得到更明智的指导。本研究旨在建立一种基于输卵管性不孕患者的临床数据和影像学特征的 4D HyCoSy 后自然妊娠预测模型。
对 2017 年 2 月至 2018 年 5 月在湖南省光琇医院诊断为输卵管性不孕的患者进行回顾性研究。这些患者应具备完整的 4D HyCoSy 影像学数据,且至少一侧输卵管通畅。收集一般临床数据和影像学数据。对 4D HyCoSy 后 3 个月的妊娠结局进行随访。根据妊娠结局,患者分为妊娠组和非妊娠组。采用二项逻辑回归分析各种变量与 4D HyCoSy 后自然妊娠的相关性。单因素逻辑回归中差异有统计学意义(P<0.05)的变量被纳入自然妊娠概率预测模型。进一步采用 10 折交叉验证验证分类准确性。
共收集了 1085 例符合要求并按医嘱接受检查的疑似输卵管性不孕的临床患者。临床特征(年龄和不孕持续时间)和 4D HyCoSy 影像学特征(月经结束后第 3-7 天子宫内膜的厚度、左侧输卵管的显影情况、左侧卵巢周围造影剂的扩散情况和右侧卵巢周围造影剂的扩散情况)是 4D HyCoSy 后 3 个月自然妊娠的独立预测因素。通过 10 折交叉验证验证的曲线下面积(AUC)均大于 0.75,建立了自然妊娠概率预测模型,最佳 AUC 为 0.868。预测模型获得的 Q 值是自然妊娠的概率,截断值为 0.5。当 Q 值大于 0.5 时,建议尝试自然妊娠 3 个月;当 Q 值小于 0.5 时,建议进行体外受精。
基于对临床数据和影像学特征的分析,成功建立了 4D HyCoSy 后评估输卵管性不孕患者自然妊娠可能性的预测模型。该模型在辅助临床决策方面具有很大的潜力。