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胎儿肺成熟度评估:历史视角与使用自动定量超声分析的非侵入性评估(一种潜在有用的临床工具)

Fetal lung maturity assessment: A historic perspective and Non - invasive assessment using an automatic quantitative ultrasound analysis (a potentially useful clinical tool).

作者信息

Ahmed Badreldeen, Konje Justin C

机构信息

Feto-Maternal Center Doha, Weill Cornell Medicine, Qatar University, Medical School, Doha, Qatar.

Department of Health Sciences, University of Leicester, UK.

出版信息

Eur J Obstet Gynecol Reprod Biol. 2021 Mar;258:343-347. doi: 10.1016/j.ejogrb.2021.01.025. Epub 2021 Jan 18.

DOI:10.1016/j.ejogrb.2021.01.025
PMID:33529970
Abstract

Immature fetal lung is associated with many adverse outcomes including respiratory distress syndrome and transient tachypnoea of the newborn. Several methods/tools have been used over several decades to assess fetal lung maturity prior to delivery. Some of the methods that have been used to assess fetal lung maturity include amniocentesis for the biochemical markers, lecithin and sphingomyelin, lamellar body counts, gray scale ultrasound scan and magnetic resonance imaging. Amniocentesis an invasive procedure which carries a small risk of miscarriage has almost become obsolete. Magnetic resonance imaging on the other hand is expensive and not very practical. Quantitative ultrasound fetal lung maturity (quantusFLM) assessment is a new technique aimed at assessing fetal lung texture using ultrasound. The technique depends on visualization of fetal lungs at the level of the 4- chamber view. Images obtained are then uploaded via a web page application and these are analyzed remotely and results generated in minutes. The analysis depends on studying changes in the texture of lung images that depend on changes at histological level especially of collagen, fat and water. These changes are undetectable to the human eye. Randomized clinical trials have shown this technique to be accurate, reproducible, and completely non - invasive. The aim of this review was to take a historic look at methods/tools for assessing fetal lug maturity and discuss further advances and a potential non-invasive tool/method especially the non-invasive assessment that combines ultrasound scan and machine learning to accurately assess lung maturity.

摘要

未成熟的胎儿肺与许多不良后果相关,包括呼吸窘迫综合征和新生儿短暂性呼吸急促。几十年来,人们使用了多种方法/工具在分娩前评估胎儿肺成熟度。一些用于评估胎儿肺成熟度的方法包括通过羊膜穿刺术检测生化标志物卵磷脂和鞘磷脂、板层小体计数、灰阶超声扫描和磁共振成像。羊膜穿刺术是一种侵入性操作,有小流产风险,几乎已被淘汰。另一方面,磁共振成像费用高昂且不太实用。定量超声胎儿肺成熟度(quantusFLM)评估是一种旨在利用超声评估胎儿肺纹理的新技术。该技术依赖于在四腔心切面水平观察胎儿肺。然后通过网页应用程序上传获得的图像,并进行远程分析,几分钟内就能得出结果。分析依赖于研究肺图像纹理的变化,这些变化取决于组织学水平尤其是胶原蛋白、脂肪和水的变化。这些变化肉眼无法察觉。随机临床试验表明该技术准确、可重复且完全无创。本综述的目的是回顾评估胎儿肺成熟度的方法/工具的历史,并讨论进一步的进展以及一种潜在的无创工具/方法,特别是结合超声扫描和机器学习以准确评估肺成熟度的无创评估方法。

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1
Fetal lung maturity assessment: A historic perspective and Non - invasive assessment using an automatic quantitative ultrasound analysis (a potentially useful clinical tool).胎儿肺成熟度评估:历史视角与使用自动定量超声分析的非侵入性评估(一种潜在有用的临床工具)
Eur J Obstet Gynecol Reprod Biol. 2021 Mar;258:343-347. doi: 10.1016/j.ejogrb.2021.01.025. Epub 2021 Jan 18.
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Amniotic fluid lamellar body count: a rapid and reliable fetal lung maturity test.羊水板层小体计数:一种快速且可靠的胎儿肺成熟度检测方法。
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The use of lamellar body counts to predict fetal lung maturity in pregnancies complicated by diabetes mellitus.利用板层小体计数预测糖尿病合并妊娠时胎儿肺成熟度。
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Lamellar body counts compared with traditional phospholipid analysis as an assay for evaluating fetal lung maturity.将板层小体计数与传统磷脂分析相比较,作为评估胎儿肺成熟度的一种检测方法。
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Real-time ultrasound of the placenta in assessment of fetal pulmonic maturity.
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Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study.通过定量超声肺纹理分析预测新生儿呼吸疾病:一项多中心研究
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Comparison of lecithin: sphingomyelin ratio, fluorescence polarization, and phosphatidylglycerol in the amniotic fluid in the prediction of respiratory distress syndrome.羊水卵磷脂:鞘磷脂比值、荧光偏振及磷脂酰甘油在预测呼吸窘迫综合征中的比较
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Assessment of Fetal Lung Maturity Using Quantitative Ultrasound Analysis in Patients with Prelabor Rupture of Membranes.应用超声定量分析评估未足月胎膜早破患者胎儿肺成熟度。
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Quantitative ultrasound texture analysis of fetal lungs to predict neonatal respiratory morbidity.胎儿肺部超声纹理分析预测新生儿呼吸系统发病率。
Ultrasound Obstet Gynecol. 2015 Apr;45(4):427-33. doi: 10.1002/uog.13441.

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