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通过MRI特征和扩散加权磁共振成像鉴别穿透性胎盘植入。

Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging.

作者信息

Li Hang, Lu Tao, Li Mou, Wang Yishuang, Zhang Feng, Yuan Yi, Zhu Meilin, Zhao Xinyi

机构信息

Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West Second Section, First Ring Road, Chengdu, 610072, China.

出版信息

Insights Imaging. 2023 May 24;14(1):93. doi: 10.1186/s13244-023-01448-z.

DOI:10.1186/s13244-023-01448-z
PMID:37222836
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10209373/
Abstract

OBJECTIVES

To identify whether parameters measured from diffusion kurtosis and intravoxel incoherent motion help diagnose placenta percreta.

METHODS

We retrospectively enrolled 75 patients with PAS disorders including 13 patients with placenta percreta and 40 patients without PAS disorders. Each patients underwent diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI). The apparent diffusion coefficient (ADC), perfusion fraction (f), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), mean diffusion kurtosis (MK) and mean diffusion coefficient (MD) were measured by the volumetric analysis and compared. MRI features were also analyzed and compared. The receiver operating characteristic (ROC) curve and logistic regression analysis were used to evaluate the diagnostic efficiency of different diffusion parameters and MRI features for distinguishing placental percreta.

RESULTS

D* was an independent risk factor from DWI for predicting placenta percreta with sensitivity of 73% and specificity of 76%. Focal exophytic mass remained as independent risk factor from MRI features for predicting placenta percreta with sensitivity of 72.7% and specificity of 88.1%. When the two risk factors were combined together, the AUC was the highest, 0.880 (95% CI 0.8-0.96).

CONCLUSION

D* and focal exophytic mass were associated with placenta percreta. A combination of the 2 risk factors can be used to predict placenta percreta.

CRITICAL RELEVANCE STATEMENT

A combination of D* and focal exophytic mass can be used to differentiate placenta percreta.

摘要

目的

确定从扩散峰度和体素内不相干运动测量的参数是否有助于诊断穿透性胎盘植入。

方法

我们回顾性纳入了75例胎盘植入障碍患者,其中包括13例穿透性胎盘植入患者和40例无胎盘植入障碍的患者。每位患者均接受了扩散加权成像(DWI)、体素内不相干运动(IVIM)和扩散峰度成像(DKI)检查。通过容积分析测量表观扩散系数(ADC)、灌注分数(f)、纯扩散系数(D)、伪扩散系数(D*)、平均扩散峰度(MK)和平均扩散系数(MD),并进行比较。还对MRI特征进行了分析和比较。采用受试者操作特征(ROC)曲线和逻辑回归分析来评估不同扩散参数和MRI特征对鉴别穿透性胎盘植入的诊断效能。

结果

D*是DWI预测穿透性胎盘植入的独立危险因素,敏感性为73%,特异性为76%。局灶性外生性肿块是MRI特征预测穿透性胎盘植入的独立危险因素,敏感性为72.7%,特异性为88.1%。当将这两个危险因素结合在一起时,曲线下面积最高,为0.880(95%CI 0.8 - 0.96)。

结论

D*和局灶性外生性肿块与穿透性胎盘植入有关。这两个危险因素的组合可用于预测穿透性胎盘植入。

关键相关性声明

D*和局灶性外生性肿块的组合可用于鉴别穿透性胎盘植入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5095/10209373/79edb6f88ed6/13244_2023_1448_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5095/10209373/79edb6f88ed6/13244_2023_1448_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5095/10209373/1e3fcb715720/13244_2023_1448_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5095/10209373/2da29f02aa58/13244_2023_1448_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5095/10209373/8e121e9fff89/13244_2023_1448_Fig6_HTML.jpg
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