{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T16:55:34Z","timestamp":1762102534142,"version":"3.40.5"},"reference-count":42,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Australas J Ultrason Med"],"published-print":{"date-parts":[[2021,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Placental related adverse pregnancy outcomes such as fetal growth restriction have significant short\u2010 and long\u2010term implications for both mother and fetus. This study aimed to determine if conventional and novel early first trimester ultrasound measures are associated with small for gestational age (SGA) neonates. In addition, we aimed to assess whether a combination of ultrasound measures, maternal characteristics and biochemistry improved the prediction of this adverse pregnancy outcome.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This was a prospective cohort study including ultrasound measurements: trophoblast thickness (TT), trophoblast volume (TV), mean uterine artery pulsatility index, crown\u2010rump length, fetal heart rate, mean sac diameter (MSD) and yolk sac diameter. Biochemical markers considered in the analysis were placental growth factor (PIGF), pregnancy \u2013 associated plasma protein A (PAPP\u2010A), beta human chorionic gonadotropin and alpha fetoprotein. Regression models were fitted for ultrasound parameters using multiples of the median (MoM). All measures were compared with normal birthweight (BW) \u226510<jats:sup>th<\/jats:sup> centile and SGA (BW\u00a0&lt;\u00a010<jats:sup>th<\/jats:sup> centile). Logistic regression analysis was used to create a clinical prediction model for SGA based on maternal characteristics, ultrasound measurements at &lt;11\u00a0weeks gestational age and maternal biochemistry collected at 10\u201314\u00a0weeks.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>As compared to pregnancies delivered of babies with normal BW (n\u00a0=\u00a01068), MoM values for TT, TV, MSD, PAPP\u2010A and PIGF were significantly reduced (P\u00a0&lt;\u00a00.05) in pregnancies delivered of SGA babies (n\u00a0=\u00a073). The proposed logistic regression model includes maternal height, TV and PIGF resulting in an area under the receiver operator curve 0.70 (95% CI 0.63\u20130.76) for the prediction of SGA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>A significantly decreased TV, measured &lt;11\u00a0weeks gestation, is predictive of BW\u00a0&lt;\u00a010<jats:sup>th<\/jats:sup> centile. With addition of maternal height and PIGF, this three\u2010marker algorithm provided a reasonable predictive value for the development of SGA later in pregnancy.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ajum.12224","type":"journal-article","created":{"date-parts":[[2020,8,27]],"date-time":"2020-08-27T19:50:28Z","timestamp":1598557828000},"page":"37-47","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Combining early (&lt;11 weeks\u2019 gestation) ultrasound features and maternal factors to predict small\u2010for\u2010gestational age neonates"],"prefix":"10.1002","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9545-2813","authenticated-orcid":false,"given":"Tracey J.","family":"Hanchard","sequence":"first","affiliation":[{"name":"South Coast Ultrasound for Women Wollongong New South Wales Australia"},{"name":"Discipline of Obstetrics, Gynaecology and Neonatology Central Clinical School Faculty of 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