N Schwartz1, E Wang, S Parry. 1. Obstetrics and Gynecology; Maternal and Child Health Research Program, Hospital of the University of Pennsylvania, Philadelphia 19104, PA, USA. schwartn@obgyn.upenn.edu)
Abstract
OBJECTIVES: To determine the utility of two-dimensional (2D) sonographic placental measurements in the prediction of small-for-gestational-age (SGA) infants. METHODS: The maximal diameter along the fetal surface of the placenta and the maximal placental thickness were measured at 18-24 weeks' gestation, and the measurements repeated in the orthogonal plane. 'Biometric lags' were calculated as the difference between sonographic gestational age, estimated using each of a number of fetal biometric measurements, and actual gestational age. These variables were analyzed individually and in combination as predictors of birth weight<10(th) percentile (SGA<10) and <5(th) percentile (SGA<5). RESULTS: 1909 singleton pregnancies were included. Mean placental diameter (SGA<10, P<0.001; SGA<5, P=0.002) and thickness (SGA<10, P<0.006; SGA<5, P=0.065) were significantly smaller in SGA pregnancies. The biometric lags were greater in SGA pregnancies, the lag in abdominal circumference (AC) being the most predictive of SGA (P<0.0001). Multivariable models were significantly predictive of both SGA<10(th) percentile (area under the receiver-operating characteristics curve (AUC) =0.7404) and <5(th) percentile (AUC=0.7204), the best fitting models including AC lag and mean placental diameter and thickness. CONCLUSIONS: 2D placental measurements taken in mid-gestation are significantly associated with the incidence of SGA. Biometric lags can improve the predictive ability further. These easily obtained variables should be considered in future efforts to develop a clinically useful predictive model for adverse outcome of pregnancy.
OBJECTIVES: To determine the utility of two-dimensional (2D) sonographic placental measurements in the prediction of small-for-gestational-age (SGA) infants. METHODS: The maximal diameter along the fetal surface of the placenta and the maximal placental thickness were measured at 18-24 weeks' gestation, and the measurements repeated in the orthogonal plane. 'Biometric lags' were calculated as the difference between sonographic gestational age, estimated using each of a number of fetal biometric measurements, and actual gestational age. These variables were analyzed individually and in combination as predictors of birth weight<10(th) percentile (SGA<10) and <5(th) percentile (SGA<5). RESULTS: 1909 singleton pregnancies were included. Mean placental diameter (SGA<10, P<0.001; SGA<5, P=0.002) and thickness (SGA<10, P<0.006; SGA<5, P=0.065) were significantly smaller in SGA pregnancies. The biometric lags were greater in SGA pregnancies, the lag in abdominal circumference (AC) being the most predictive of SGA (P<0.0001). Multivariable models were significantly predictive of both SGA<10(th) percentile (area under the receiver-operating characteristics curve (AUC) =0.7404) and <5(th) percentile (AUC=0.7204), the best fitting models including AC lag and mean placental diameter and thickness. CONCLUSIONS: 2D placental measurements taken in mid-gestation are significantly associated with the incidence of SGA. Biometric lags can improve the predictive ability further. These easily obtained variables should be considered in future efforts to develop a clinically useful predictive model for adverse outcome of pregnancy.
Authors: Sara J Churchill; Erica T Wang; Marcy Akhlaghpour; Ellen H Goldstein; Dina Eschevarria; Naomi Greene; Matthew Macer; Temeka Zore; John Williams; Margareta D Pisarska Journal: Fertil Steril Date: 2017-05-10 Impact factor: 7.329
Authors: Ipek Oguz; Natalie Yushkevich; Alison Pouch; Baris U Oguz; Jiancong Wang; Shobhana Parameshwaran; James Gee; Paul A Yushkevich; Nadav Schwartz Journal: J Med Imaging (Bellingham) Date: 2020-02-22