Association of intraplacental oxygenation patterns on dual-contrast MRI with placental abnormality and fetal brain oxygenation.
Association of intraplacental oxygenation patterns on dual-contrast MRI with placental abnormality and fetal brain oxygenation.
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DOI：
10.1002/uog.24959
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发表时间：
2023-02
影响因子：
7.1
通讯作者：
Wang, Y.
中科院分区：
文献类型：
--
作者：
Sun, Z.;Wu, W.;Zhao, P.;Wang, Q.;Woodard, P. K.;Nelson, D. M.;Odibo, A.;Cahill, A.;Wang, Y.
关键词：
大多数人体内胎盘成像技术无法区分和单独表征各种胎盘隔室，例如绒毛间隙（IVS）、胎盘血管（PV）和胎盘组织（PT）。这显著限制了它们在人类胎盘成像中的特异性。在这里，我们描述了一种方法，采用T2* 和扩散MRI对比自动区分胎盘车厢，量化其组织氧合特性，并描绘胎盘病变（PL）在体内。双对比临床MRI包括从27例患者中获得的T2* 和弥散MR扫描，其中包括22例正常妊娠和5例妊娠期在20至38周之间的复杂妊娠。我们训练了一种模糊聚类方法来分析T2* 和弥散MRI对比，并根据其不同的成像域特征将所有胎盘体素分配到四个聚类中的一个。采用模糊聚类模型分析T2* 和弥散MRI的定量成像指标，以剖析胎盘间室异质性。新方法自动将胎盘组织分类为IVS，PV，PT和PL隔室，并表征其在妊娠期间的氧合变化。总胎盘氧合水平和T2* 与GA没有表现出统计学显著的时间相关性（R2=0.060，p=0.27）。值得注意的是，胎盘IVS（R2=0.51，p=2.1e-5）和PV（R2=0.76，p=1.1e-7）中由T2* 值表示的氧合水平随着GA的进展而显著降低。相比之下，PT中的氧合水平在妊娠期间未显示任何时间变化（R2=0.00044，p=0.93）。此外，还发现PV氧合水平与GA之间存在强烈的空间依赖性相关性。PV氧合和GA之间最强的负相关性（R2=0.73，p=4.5e-7）被发现在胎儿血管为主的区域接近绒毛膜板。在5名临床确诊胎盘病理的女性中，胎盘异常的位置和程度被自动描绘和量化。与平均胎盘总氧合相比，胎盘IVS氧合水平最能反映胎儿发育期间的胎儿脑氧合水平。基于临床上可行的双MRI图像，我们的方法能够在不同胎龄之间准确地时空量化胎盘隔室和胎儿脑氧合。这些信息将是必不可少的，以提高我们的知识，人类胎盘的发展及其关系，正常和异常妊娠。
Most human in-vivo placenta imaging techniques are unable to distinguish and separately characterize various placental compartments such as the intervillous space (IVS), placental vessels (PV), and placental tissue (PT). This significantly limits their specificity in imaging the human placenta. Here, we describe a method that employs T2* and diffusion MRI contrasts to automatically distinguish placental compartments, quantify their tissue oxygenation properties, and delineate placental lesions (PL) in vivo. Dual-contrast clinical MRI includes T2* and diffusion MR scans acquired from 27 patients, including 22 normal and 5 complicated pregnancies at gestational ages between 20 and 38 weeks. We trained a fuzzy clustering method to analyze both T2* and diffusion MRI contrasts and assign all placental voxels to one of four clusters based on their distinct imaging domain features. The fuzzy clustering model was employed to analyze the quantitative imaging metrics of T2* and diffusion MRI to dissect the placenta compartmental heterogeneity. The new method automatically classified the placental tissues into IVS, PV, PT, and PL compartments and characterized their oxygenation changes over pregnancy. Total placental oxygenation level and T2* did not demonstrate a statistically significant temporal correlation with GA (R2=0.060, p=0.27). Strikingly, the oxygenation level indicated by T2* values in the placental IVS (R2=0.51, p=2.1e-5) and PV (R2=0.76, p=1.1e-7) decreased significantly with advancing GA. In contrast, oxygenation levels in the PT did not show any temporal change (R2=0.00044, p=0.93) during pregnancy. Additionally, a strong spatial-dependent correlation between PV oxygenation level and GA was also discovered. The strongest negative correlation between PV oxygenation and GA (R2=0.73, p=4.5e-7) was found at the fetal vessel-dominated region close to the chorionic plate. The location and extent of the placenta abnormality were automatically delineated and quantified in the 5 women with clinically confirmed placental pathologies. Compared to the averaged total placental oxygenation, the placental IVS oxygenation level best reflects the fetal brain oxygenation level during fetal development. Based on the clinically feasible dual-MRI images, our method enables the accurate spatial-temporal quantification of placenta compartment and fetal brain oxygenation across different gestational ages. This information will be essential in improving our knowledge of human placenta development and its relationship to normal and abnormal pregnancy.
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影响因子：
3.3
作者：
Huen, Isaac;Morris, David M.;Naish, Josephine H.
通讯作者：
Naish, Josephine H.
DOI：
10.1098/rstb.2014.0068
发表时间：
2015-03-05
影响因子：
6.3
作者：
Browne, Vaughn A.;Julian, Colleen G.;Moore, Lorna G.
通讯作者：
Moore, Lorna G.
影响因子：
2.1
作者：
Krishnamurthy U;Szalai G;Shen Y;Xu Z;Yadav BK;Tarca AL;Chaiworapongsa T;Hernandez-Andrade E;Than NG;Haacke EM;Romero R;Neelavalli J
通讯作者：
Neelavalli J
影响因子：
7.3
作者：
Goldstein JA;Gallagher K;Beck C;Kumar R;Gernand AD
通讯作者：
Gernand AD
影响因子：
2.1
作者：
Gorkem, Sureyya Burcu;Coskun, Abdulhakim;Orturk, Ahmet
通讯作者：
Orturk, Ahmet