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Early Hum Dev ; 89(5): 321-6, 2013 May.
Article in English | MEDLINE | ID: mdl-23253301

ABSTRACT

OBJECTIVES: To determine if fetal volume (FV) measurements with three-dimensional ultrasound in the first trimester of pregnancy can detect the fetus at risk for preterm birth and/or low birth weight. METHODS: In this prospective cohort study, 538 participants were included during the routine first trimester ultrasound examination. Volume measurements were performed with VOCAL (9°). Firstly, the relation between FV and gestational age for a set of participants with normal pregnancies (training set), was assessed using multiple linear regression analysis, which was then used to determine the expected normal values. Secondly, for a new set of participants with normal pregnancies and a set of participants with complicated pregnancies (preterm birth and/or low birth weight), i.e. the validation set, the observed fetal volumes (FVobserved) were compared with their expected normal values (FVexpected) and expressed as a percentage of the expected normal value. The difference in mean percentage was then assessed with independent-samples t-test. Finally, logistic regression analysis was applied to the validation set to analyze the ability to predict the pregnancy outcome with FV calculation. RESULTS: Linear regression analysis of FV as a predictor of preterm birth and/or low birth weight did not result in significant (p=0.630 and 0.290, respectively) or clinical relevant results (standardized effect sizes of 0.061 and 0.179, respectively). The predicting quality was also very low (AUC=0.508 and 0.545 respectively). CONCLUSIONS: Fetal volume measurements in the first trimester of pregnancy are not useful as a prognostic tool for predicting pregnancies of high risk for preterm birth or a low birth weight.


Subject(s)
Fetus , Infant, Low Birth Weight , Premature Birth/diagnosis , Area Under Curve , Cohort Studies , Female , Gestational Age , Humans , Infant, Newborn , Linear Models , Longitudinal Studies , Netherlands , Predictive Value of Tests , Pregnancy , Prospective Studies
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