Department of Obstetrics and Gynecology, Catholic University of The Sacred Heart, Fondazione Policlinico A. Gemelli, Rome, Italy.
Department of Obstetrics and Gynecology, University of Chieti, Chieti, Italy.
Acta Obstet Gynecol Scand. 2018 May;97(5):507-520. doi: 10.1111/aogs.13258. Epub 2017 Dec 13.
Accurate prenatal diagnosis of abnormally invasive placenta (AIP) is fundamental because it significantly reduces maternal morbidities.
Medline, Embase, CINAHL and the Cochrane databases were searched. The primary aim of the present review was to elucidate the diagnostic accuracy of prenatal magnetic resonance imaging (MRI) in recognizing the severity of AIP, defined as the depth and topography of invasion. The secondary aim was to ascertain the strength of association between each MRI sign and the depth of placental invasion and to test their individual predictive accuracy in detecting such invasion. Inclusion criteria were studies on women who had prenatal MRI for ultrasound suspicion or the presence of clinical risk factors for AIP. Estimates of sensitivity, specificity, positive and negative likelihood ratios and diagnostic odds ratio were calculated using the hierarchical summary receiver characteristics curve model, and individual data random-effect logistic regression was used to calculate OR.
Twenty studies (1080 pregnancies undergoing MRI mainly for the ultrasound suspicion of AIP) were included. MRI showed a sensitivity of 94.4% [95% confidence interval (CI) 15.8-99.9], 100% (95% CI 75.3-100) and 86.5% (95% CI 74.2-94.4) for detection of placenta accreta, increta and percreta, respectively; the corresponding values for specificity were 98.8% (95% CI 70.7-100), 97.3% (95% CI 93.3-99.3), 96.8% (95% CI 93.5-98.7). MRI identified 100% of cases with S1 and 100% of those with S2 invasion confirmed at surgery. Among the different MRI signs, intra-placental dark bands showed the best sensitivity for the detection of placenta accreta, increta and percreta; as well as abnormal intra-placental vascularity, uterine bulging was associated with a higher risk of increta and percreta, exophitic mass and bladder tenting with placenta percreta.
Prenatal MRI has an excellent diagnostic accuracy in identifying the depth and the topography of placental invasion. However, these findings come mainly from studies in which MRI was performed as a secondary imaging tool in women already screened for AIP on ultrasound and might not reflect its actual diagnostic performance in detecting the severity of these disorders.
准确的产前诊断异常侵袭性胎盘(AIP)至关重要,因为它可显著降低产妇发病率。
检索了 Medline、Embase、CINAHL 和 Cochrane 数据库。本综述的主要目的是阐明产前磁共振成像(MRI)在识别 AIP 严重程度(定义为浸润深度和浸润方式)方面的诊断准确性。次要目的是确定每种 MRI 征象与胎盘浸润深度的关联强度,并检验其在检测此类浸润中的个体预测准确性。纳入标准为对已接受超声检查疑似 AIP 或存在 AIP 临床危险因素的孕妇进行产前 MRI 的研究。使用分层汇总受试者工作特征曲线模型计算灵敏度、特异性、阳性和阴性似然比以及诊断优势比,使用个体数据随机效应逻辑回归计算 OR。
纳入 20 项研究(共 1080 例因超声检查疑似 AIP 而行 MRI 检查的孕妇)。MRI 对胎盘植入、胎盘侵入和胎盘穿透的检测灵敏度分别为 94.4%(95%CI 15.8-99.9)、100%(95%CI 75.3-100)和 86.5%(95%CI 74.2-94.4),特异性分别为 98.8%(95%CI 70.7-100)、97.3%(95%CI 93.3-99.3)和 96.8%(95%CI 93.5-98.7)。MRI 在手术中确认 S1 级和 S2 级浸润的病例中均能识别 100%的病例。在不同的 MRI 征象中,胎盘内暗带对胎盘植入、胎盘侵入和胎盘穿透的检测具有最佳的灵敏度;胎盘内异常血管、子宫膨出与胎盘侵入和胎盘穿透的风险增加相关,外生性肿块和膀胱穹窿与胎盘穿透相关。
产前 MRI 对识别胎盘浸润深度和方式具有极好的诊断准确性。然而,这些发现主要来自于 MRI 作为已经在超声检查中筛查 AIP 的孕妇的辅助影像学检查的研究,可能无法反映其在检测这些疾病严重程度方面的实际诊断性能。