Transmural Biotech SL, Barcelona, Spain.
Ultrasound Obstet Gynecol. 2015 Apr;45(4):427-33. doi: 10.1002/uog.13441.
To develop and evaluate the performance of a novel method for predicting neonatal respiratory morbidity based on quantitative analysis of the fetal lung by ultrasound.
More than 13,000 non-clinical images and 900 fetal lung images were used to develop a computerized method based on texture analysis and machine learning algorithms, trained to predict neonatal respiratory morbidity risk on fetal lung ultrasound images. The method, termed 'quantitative ultrasound fetal lung maturity analysis' (quantusFLM™), was then validated blindly in 144 neonates, delivered at 28 + 0 to 39 + 0 weeks' gestation. Lung ultrasound images in DICOM format were obtained within 48 h of delivery and the ability of the software to predict neonatal respiratory morbidity, defined as either respiratory distress syndrome or transient tachypnea of the newborn, was determined.
Mean (SD) gestational age at delivery was 36 + 1 (3 + 3) weeks. Among the 144 neonates, there were 29 (20.1%) cases of neonatal respiratory morbidity. Quantitative texture analysis predicted neonatal respiratory morbidity with a sensitivity, specificity, positive predictive value and negative predictive value of 86.2%, 87.0%, 62.5% and 96.2%, respectively.
Quantitative ultrasound fetal lung maturity analysis predicted neonatal respiratory morbidity with an accuracy comparable to that of current tests using amniotic fluid.
开发并评估一种基于超声对胎儿肺部进行定量分析来预测新生儿呼吸系统疾病的新方法的性能。
使用超过 13000 份非临床图像和 900 份胎儿肺部图像，开发了一种基于纹理分析和机器学习算法的计算机方法，该方法经过训练，可以在胎儿肺部超声图像上预测新生儿呼吸系统疾病的风险。该方法称为“定量超声胎儿肺成熟度分析”（quantusFLM™），然后在 144 名 28+0 至 39+0 周分娩的新生儿中进行了盲法验证。在分娩后 48 小时内获得 DICOM 格式的肺部超声图像，并确定该软件预测新生儿呼吸系统疾病（呼吸窘迫综合征或新生儿暂时性呼吸急促）的能力。
平均（SD）分娩时的胎龄为 36±1（3+3）周。在 144 名新生儿中，有 29 例（20.1%）发生新生儿呼吸系统疾病。定量纹理分析预测新生儿呼吸系统疾病的敏感性、特异性、阳性预测值和阴性预测值分别为 86.2%、87.0%、62.5%和 96.2%。
定量超声胎儿肺成熟度分析预测新生儿呼吸系统疾病的准确性可与目前使用羊水的测试相媲美。
