{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T02:10:14Z","timestamp":1791252614074,"version":"4.1.0"},"reference-count":46,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ultrasound in Obstet &amp;amp; Gyne"],"published-print":{"date-parts":[[2015,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>More than 13\u2009000 non\u2010clinical 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 \u2018quantitative ultrasound fetal lung maturity analysis\u2019 (<jats:styled-content style=\"fixed-case\">quantusFLM<\/jats:styled-content>\u2122), was then validated blindly in 144 neonates, delivered at 28\u2009+\u20090 to 39\u2009+\u20090\u2009weeks' gestation. Lung ultrasound images in <jats:styled-content style=\"fixed-case\">DICOM<\/jats:styled-content> format were obtained within 48\u2009h 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Mean (SD) gestational age at delivery was 36\u2009+\u20091 (3\u2009+\u20093) 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Quantitative ultrasound fetal lung maturity analysis predicted neonatal respiratory morbidity with an accuracy comparable to that of current tests using amniotic fluid. Copyright \u00a9 2014 ISUOG. 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