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支持MRI诊断胎盘植入谱系疾病的共识解读。

Endorsing consensus interpretation for diagnosing placenta accreta spectrum disorders on MRI.

作者信息

Parnes Benjamin, Kamath Amita, Friedman Barak, King Michael, Lieberman Caroline, Ho Kara, Ali Kamran, Platt Samantha, Sharma Himanshu, Xiang Jackie, Rastegar Shima, Liu Yuxin, Doucette John, Zakashansky Konstantin, Taouli Bachir, Lewis Sara

机构信息

Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

出版信息

Eur Radiol. 2025 Jul 21. doi: 10.1007/s00330-025-11832-6.

Abstract

OBJECTIVES

To determine the performance of MRI features alone and combined in a model for the diagnosis of placenta accreta spectrum (PAS) disorders in pregnant women.

MATERIALS AND METHODS

This single health system IRB-approved retrospective study included 131 pregnant women who underwent MRI for placental (n = 122) or fetal (n = 9, controls) indications (2016-2021). Three independent observers assessed 11 PAS features on MRI, endorsed in prior studies, with consensus adjudication of discordances by 2 separate expert observers. The reference standard was established by intra-operative findings and/or pathology. Univariable and multivariable logistic regression and ROC analysis evaluated MRI feature performance for PAS diagnosis alone and combined in a model.

RESULTS

131 pregnant patients (mean age 36 years, range 21-54 years; mean gestational age 28 weeks) were included. PAS was present in 54/131 (41.2%) patients. Consensus adjudication demonstrated that all MRI features and history of prior deliveries (vaginal or caesarean section) were associated with PAS (p ≤ 0.0003). Most MRI features, except the "serosal vessel sign," were associated with PAS for the independent observers (p < 0.04). At consensus, "loss of T2-retroplacental line" (sensitivity 0.87/specificity 0.43/p = 0.0003) and "myometrial thinning" (sensitivity 0.87/specificity 0.47/p < 0.0001) showed the highest sensitivity for PAS, while "bladder vessel sign" had the highest specificity (sensitivity 0.28/specificity 1.0/p < 0.0001). A multivariable model comprised of "uterine/placental bulge," "focal exophytic placental mass," and "bladder vessel sign" demonstrated an AUC = 0.83 (95% confidence interval 0.76-0.83) for PAS diagnosis using consensus data.

CONCLUSION

A model based on consensus interpretation of MRI findings demonstrated good performance for diagnosing PAS.

KEY POINTS

Question The lack of validated MRI criteria and inter-observer variability limits MRI's reliability for noninvasive placenta accreta spectrum (PAS) diagnosis in pregnant women. Findings MRI features demonstrated variable sensitivity and specificity across readers for PAS diagnosis, often at a trade-off, highlighting the need for consensus review. Clinical relevance A model based on consensus interpretation of MRI findings, comprised of "uterine/placental bulge," "exophytic placental mass," and "bladder vessel sign," demonstrated good performance for diagnosing PAS, which is essential given the risk of maternal morbidity and mortality at delivery.

摘要

目的

确定单独及联合使用MRI特征在孕妇胎盘植入谱系障碍(PAS)诊断模型中的性能。

材料与方法

这项经单一健康系统机构审查委员会批准的回顾性研究纳入了131名孕妇,她们因胎盘(n = 122)或胎儿(n = 9,对照组)相关指征接受了MRI检查(2016 - 2021年)。三名独立观察者评估了先前研究认可的MRI上的11个PAS特征,由另外两名专家观察者对不一致之处进行共识判定。参考标准通过术中发现和/或病理确定。单变量和多变量逻辑回归以及ROC分析评估了单独及联合使用MRI特征在模型中对PAS诊断的性能。

结果

纳入131名孕妇(平均年龄36岁,范围21 - 54岁;平均孕周28周)。54/131(41.2%)名患者存在PAS。共识判定表明,所有MRI特征以及既往分娩史(阴道分娩或剖宫产)均与PAS相关(p≤0.0003)。除“浆膜血管征”外,大多数MRI特征对独立观察者而言与PAS相关(p < 0.04)。在达成共识时,“T2加权像胎盘后线消失”(敏感性0.87/特异性0.43/p = 0.0003)和“子宫肌层变薄”(敏感性0.87/特异性0.47/p < 0.0001)对PAS显示出最高敏感性,而“膀胱血管征”具有最高特异性(敏感性0.28/特异性1.0/p < 0.0001)。一个由“子宫/胎盘膨出”、“局灶性外生性胎盘肿块”和“膀胱血管征”组成的多变量模型,使用共识数据对PAS诊断的AUC为0.83(95%置信区间0.76 - 0.83)。

结论

基于MRI结果共识解读的模型在诊断PAS方面表现良好。

关键点

问题 缺乏经过验证的MRI标准以及观察者间的变异性限制了MRI在孕妇无创性胎盘植入谱系障碍(PAS)诊断中的可靠性。发现 MRI特征在不同读者对PAS诊断的敏感性和特异性方面表现各异,且常常存在权衡,凸显了共识审查的必要性。临床意义 基于MRI结果共识解读的模型,由“子宫/胎盘膨出”、“外生性胎盘肿块”和“膀胱血管征”组成,在诊断PAS方面表现良好,鉴于分娩时孕产妇发病和死亡风险,这一点至关重要。

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