Although prenatal diagnosis of fetal weight is a crucial parameter that guides the physician, the margin of error in fetal weight measurement remains substantial. This study aims to identify the most accurate ultrasound models for predicting fetal weight at 16 to 22 weeks of pregnancy by considering fewer impacts of skull biometric parameters. This is a prospective study conducted with 263 pregnant women. The estimated fetal weight obtained with the three models of Hadlock IV, Shepard, and Warsof was compared with the fetal weight obtained with the Hadlock I as the standard model. Pearson correlation coefficients were calculated for each. Using the ultrasound parameters abdominal circumference, biparietal diameter, femur length, head circumference, and transverse abdominal diameter, a significant correlation was obtained between the prediction of fetal weight from the standard model and the Hadlock IV model (R = 0.99), Shepard (R = 0.98) and Warsof (R = 0.97). The average fetal weight during this period was 243.34 ± 69.87 g using the standard models, 241.03 ± 70.00 g using the Hadlock IV, 253.95 ± 74.03 g using the Shepard model, and 247.42 ± 66.76 g using the Warsof model. The statistical analysis illustrated that the Hadlock IV, Shepard, and Warsof models, when utilized in ultrasound software, can accurately predict fetal weight, and the Hadlock IV model exhibits a higher correlation with the weight obtained from the standard model.
Type of Study:
Research |
Subject:
Bioacoustics Received: 2025/09/23 | Accepted: 2025/11/12 | Published: 2025/12/21