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胎膜成像:现状与未来展望——综述

Fetal membrane imaging: current and future perspectives-a review.

作者信息

Wu Dan, Cao Jiasong, Xu Meiyi, Zhang Cunling, Wei Zhuo, Li Wen, Chang Ying

机构信息

Tianjin Institute of Obstetrics and Gynecology, Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin, China.

Tianjin Key Laboratory of Human Development and Reproductive Regulation, Tianjin, China.

出版信息

Front Physiol. 2024 Jun 27;15:1330702. doi: 10.3389/fphys.2024.1330702. eCollection 2024.

DOI:10.3389/fphys.2024.1330702
PMID:38994451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11238276/
Abstract

Fetal membrane providing mechanical support and immune protection for the growing fetus until it ruptures during parturition. The abnormalities of fetal membrane (thickening, separation, etc.) are related to adverse perinatal outcomes such as premature delivery, fetal deformities and fetal death. As a noninvasive method, imaging methods play an important role in prenatal examination. In this paper, we comprehensively reviewed the manuscripts on fetal membrane imaging method and their potential role in predicting adverse perinatal fetal prognosis. We also discussed the prospect of artificial intelligence in fetal membrane imaging in the future.

摘要

胎膜为发育中的胎儿提供机械支持和免疫保护,直至分娩时破裂。胎膜异常(增厚、分离等)与早产、胎儿畸形和胎儿死亡等不良围产期结局相关。作为一种非侵入性方法,成像方法在产前检查中发挥着重要作用。本文全面综述了关于胎膜成像方法及其在预测不良围产期胎儿预后方面潜在作用的文献。我们还讨论了未来人工智能在胎膜成像中的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/623f/11238276/0ad4cf3bae93/fphys-15-1330702-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/623f/11238276/532764fc55d4/fphys-15-1330702-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/623f/11238276/0ad4cf3bae93/fphys-15-1330702-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/623f/11238276/532764fc55d4/fphys-15-1330702-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/623f/11238276/0ad4cf3bae93/fphys-15-1330702-g002.jpg

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本文引用的文献

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Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT.用于CT肺结节诊断的基于(不)确定标注的可信学习
Med Image Anal. 2023 Jan;83:102627. doi: 10.1016/j.media.2022.102627. Epub 2022 Sep 27.
2
Magnetic resonance imaging of the supra-cervical fetal membrane detects an increased risk of prelabor rupture of membranes.颈上胎儿膜的磁共振成像检测到胎膜早破的风险增加。
Front Endocrinol (Lausanne). 2022 Sep 29;13:1001538. doi: 10.3389/fendo.2022.1001538. eCollection 2022.
3
Editorial for "Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI".
《纵向磁共振成像中用于胎盘自动分割的空间注意力深度学习评估》编辑评论
J Magn Reson Imaging. 2023 May;57(5):1541-1542. doi: 10.1002/jmri.28401. Epub 2022 Aug 18.
4
New approaches suggest term and preterm human fetal membranes may have distinct biomechanical properties.新方法表明足月和早产人类胎膜可能具有不同的生物力学特性。
Sci Rep. 2022 Mar 24;12(1):5109. doi: 10.1038/s41598-022-09005-2.
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The use of functional placental magnetic resonance imaging for assessment of the placenta after prolonged preterm rupture of the membranes in vivo: A pilot study.应用功能胎盘磁共振成像评估体内延长的未足月胎膜早破胎盘:一项初步研究。
Acta Obstet Gynecol Scand. 2021 Dec;100(12):2244-2252. doi: 10.1111/aogs.14267. Epub 2021 Sep 21.
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APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation.掌声:通过 U 型网络分割和统计评估实现胎盘健康的自动预测。
Med Image Anal. 2021 Aug;72:102145. doi: 10.1016/j.media.2021.102145. Epub 2021 Jun 23.
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Challenging detection of hard-to-find gastric cancers with artificial intelligence-assisted endoscopy.利用人工智能辅助内镜检查对难以发现的胃癌进行挑战性检测。
Gut. 2021 Jun;70(6):1196-1198. doi: 10.1136/gutjnl-2020-322453. Epub 2020 Aug 18.
8
Concomitant spontaneous chorioamniotic membrane separation, velamentous cord insertion and vasa previa.合并自发性绒毛膜羊膜分离、帆状脐带附着和前置血管。
Ultrasound Obstet Gynecol. 2021 Jul;58(1):133-134. doi: 10.1002/uog.22168.
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Sci Rep. 2020 Jul 31;10(1):12983. doi: 10.1038/s41598-020-69909-9.
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Assessment of Supra-Cervical Fetal Membrane by MRI 3D CISS: A Preliminary Study.磁共振成像3D CISS对宫颈上胎膜的评估:一项初步研究。
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