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首页> 外文期刊>Abdominal radiology. >Prenatal planning of placenta previa: diagnostic accuracy of a novel MRI-based prediction model for placenta accreta spectrum (PAS) and clinical outcome
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Prenatal planning of placenta previa: diagnostic accuracy of a novel MRI-based prediction model for placenta accreta spectrum (PAS) and clinical outcome

机译:胎盘的产前规划PRIVIA:胎盘胎盘谱(PAS)和临床结果的新型MRI基础预测模型的诊断准确性

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Purpose To investigate the diagnostic accuracy of MRI for placenta accreta spectrum (PAS) and clinical outcome prediction in women with placenta previa, using a novel MRI-based predictive model. Methods Thirty-eight placental MRI exams performed on a 1.5T scanner were retrospectively reviewed by two radiologists in consensus. The presence of T2 dark bands, myometrial thinning, abnormal vascularity, uterine bulging, placental heterogeneity, placental protrusion sign, placental recess, and percretism signs was scored using a 5-point scale. Pathology and clinical intrapartum findings were the standard of reference for PAS, while intrapartum/peripartum bleeding and emergency hysterectomy defined the clinical outcome. Receiver-operating characteristic (ROC) analysis and discriminant function analysis were performed to test the predictive power of MRI findings for both PAS and clinical outcome prediction. Results Abnormal vascularity and percretism signs were the two most predictive MRI features of PAS. The area under the curve (AUC) of the predictive function was 0.833 (cutoff 0.39, 67% sensitivity, 100% specificity, p = 0.001). Percretism signs and myometrial thinning were the two most predictive MRI features of poor outcome. AUC of the predictive function was 0.971 (cutoff 0.55,100% sensitivity, 77% specificity, p< 0.001). Conclusion The diagnostic accuracy of MRI, especially considering the combination of the most predictive MRI findings, is higher when the target of the prediction is the clinical outcome rather than the PAS.
机译:目的探讨使用基于新的MRI的预测模型对胎盘预测性胎盘预测性胎盘植物的MRI和临床结果预测的诊断准确性。方法对1.5T扫描仪进行的三十八次胎盘MRI考试由两个放射科医师共识回顾性。使用5点刻度得分T2暗带,肌瘤稀释,异常,子宫膨胀,胎盘异质性,胎盘突起和胎盘症状和喘气迹象。病理学和临床内部调查结果是PAS的参考标准,而在临床结果中,脑内/珀腓肠道出血和急诊子宫切除术。进行接收器操作特征(ROC)分析和判别函数分析,以测试PAS和临床结果预测的MRI调查结果的预测力。结果异常血管和腓骨迹象是PA的两个最预测的MRI特征。预测函数的曲线(AUC)下的区域为0.833(截止0.39,67%的灵敏度,100%特异性,P = 0.001)。遗传迹象和肌病变薄是最糟糕的结果的两个最具预测的MRI特征。预测功能的AUC为0.971(截止值0.55,100%敏感性,77%的特异性,P <0.001)。结论MRI的诊断准确性,特别是考虑最令人预测性MRI发现的组合,当预测的目标是临床结果而不是PAS时,更高。

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