Nonvisualized, dilated or even a small fetal stomach can be associated with a variety of anomalies and poor fetal outcome. Therefore, we attempted to evaluate the stomach circumference (SC)/abdominal circumference (AC) ratio to assess normal limits of fetal stomach size. A total of 363 fetuses ranging from 15 to 39 weeks' gestation were prospectively evaluated with ultrasonography. The SC was measured from a plane that is perpendicular to the fetal longitudinal axis at the level where the largest axial circumference of the stomach was obtained using a digitizer. The AC was also measured at the same section and the ratio was calculated by dividing the SC by the AC and multiplying by 100. The SC increased linearly from 15 to 24 weeks and showed fluctuations in size thereafter to 39 weeks. A strong correlation was noted between gestational age and both SC (r: 0.842, P <0.0001) and AC (r: 0.975, P <0.0001). The SC/AC ratio was normally distributed with a mean of 20.4 +/- 3.9% and ranged between 14.8% and 27.03% throughout pregnancy (r: 0.021, P > 0.05). Although the fetal stomach is a dynamically changing organ, the SC/AC ratio can be considered as a potentially useful parameter in assessing fetal stomach size.
Abdomen/embryology* ; Cross-Sectional Studies ; Fetal Development/physiology ; Fetus/anatomy & histology* ; Gestational Age ; Human ; Prospective Studies ; Stomach/embryology* ; Ultrasonography, Prenatal

Monitoring fetal growth and assessing its predictors have important place in antenatal care management. Accurate prediction of gestational age (GA) and birth weight (BW) is clinically important. Standard growth curve chosen should be evaluated to see if it satisfies the criteria for a valid assesment. In this paper, for the purpose of contributing to develop national standards and to evaluate Hadlock's standard data pertaining to 1411 fetuses were examined. Of 1411 normally growing fetuses, one measurement for AC, BPD and FL was taken by ultrasound. GA was assessed via menstrual history which is also confirmed by ultrasonography. Several variables, AC, BPD, FL, FL/AC, BPD/FL and dependent variables (GA & BW) were modelled mathematically. Percentile values, correlation coefficients were calculated and well functioning regression equations were produced for the fetal growth evaluation. Simple correlation model re-confirmed that AC, BPD and FL were well predictors of GA. Via modelling by multivariate regression analysis (adj. R2=937), GA=4.945 (95% CI: 4.661- 5.654) + .606 AC + .105 BPD + .286 FL can be estimated. It couldn't be possible establishing an appropriate equation for prediction of BW vith current data. Our study is intended to draw an attention on requirement of national standards although Hadlock's standard growth curve may evaluate fetal development accurately. Forming comprehensive cohort group is under our consideration. The equation we developped (shown in the results), might be a working contribution.
Cross-Sectional Studies ; Female ; *Fetal Development ; *Gestational Age ; Human ; Pregnancy ; Regression Analysis ; *Ultrasonography, Prenatal