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超声图像特征评分预测胎盘植入性疾病类型的价值 被引量:4

The value of ultrasound image feature score for predicting the type of placental implantable disease
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摘要 目的:分析超声图像特征评分对胎盘植入性疾病(PAS)不同类型的预测价值。方法:回顾性分析本院2013年1月—2018年12月92例PAS患者临床资料,参照超声评分表对研究对象评分,比较不同类型PAS患者的超声评分,分析超声评分对PAS类型的预测效能及诊断一致性。结果:超声评分在粘连型(2.37±1.02)分,植入型(6.39±2.33)分,穿透型(9.05±2.10)分,组间存在差异(P<0.05)。超声评分对植入型及穿透型均有预测效能(P<0.001),临界值粘连型与植入型为3.0分,植入型和穿透型为10.0分。以超声评分<3分、≥3分、≥10分作为诊断PAS粘连型、植入型及穿透型的临界值,与产后最终诊断的一致性良好。结论:超声图像特征评分对PAS的类型有较好的预测效能。 Objective:To analyze the value of ultrasound image feature score for predicting different types of placental implantable diseases(PAS). Methods: The clinical data of patients with PAS from January 2013 to December 2018 were analyzed retrospectively. The scores of patients with PAS were assessed by ultrasound, and the scores of patients by ultrasound were compared among patients with different PAS types. The predictive efficacy and diagnostic consistency based on ultrasound score were analyzed. Results: The ultrasound score of patients with adhesion type of PAS, with implantation type of PAS, with penetration type of PAS were 2.37±1.02 points, 6.39±2.33 points, and 9.05±2.10 points, respectively, which had significant differences among these different types(P<0.05). The ultrasound score had predicted both implantation and penetration of PAS(P<0.001). The cut off value of ultrasonic score for predicting adhesion and penetration of PAS was 3.0, and the cut off value of ultrasonic score for predicting implant and penetration of PAS was 10.0. when the cut off value of ultrasound scores was <3 points, ≥3 points, or≥10 points for diagnosing of adhesion, implantation and penetration of PAS, there was well consistent with the final postpartum diagnosis. Conclusion: The ultrasonic image feature score has good efficiency for predicting the types of PAS.
作者 季雯晶 JI Wenjing(Nanjing Benq Hospital Co.,Ltd,Nanjing,Jiangsu Province,210019)
出处 《中国计划生育学杂志》 2020年第7期1068-1070,共3页 Chinese Journal of Family Planning
关键词 胎盘植入性疾病 超声图像特征评分 粘连型 植入型 穿透型 预测 Placental implantable diseases Ultrasound image feature score Placental adhesion Placental implantation Placental penetration Prediction
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