H Luo1, S Zhou, T Yang, S Liu, H Xu. 1. Functional Department, Second Affiliated Hospital, WCUMS, Chengdu 610041, China.
Abstract
OBJECTIVE: To evaluate the ultrasonic measurements of parturient fetal cerebellar diameter (CD), liver length(LL), kidney length (KL) and femur thigh soft tissue thickness(FSTT) for the estimation of fetal weight. METHODS: Ultrasonic measurements of the parturient fetal cerebellar diameter, liver length, kidney length and femur thigh soft tissue thickness were made in 115 cases. The data on these parameters were analyzed with statistical methods, and a multiple linear regressional equation for predicting the fetal body weight was derived. The calculated value of fetal body weight and the estimated parameters of the fetal body were compared with the actually measured values immediately after birth. The error of estimation was analyzed. RESULTS: CD, LL, KL and FSTT were significantly correlated with neonatal birth weight, the coefficient of multiple correlation R = 0.9425 (P < 0.001); among the 115 cases, 101 had absolute error less than +/- 200 g, with an agreement rate of 88%. The sensitivity and accuracy for detection of normal fetus were 98.13% and 94.78% respectively. The multiple linear regression equation derived was BW = -1009.914 + 356.1303FSTT + 354.0682KL + 236.8484 LL + 179.7384 CD. CONCLUSION: The equation is a simple, accurate and valuable equation for the estimation of fetal weight and can be used in clinical practice.
OBJECTIVE: To evaluate the ultrasonic measurements of parturient fetal cerebellar diameter (CD), liver length(LL), kidney length (KL) and femur thigh soft tissue thickness(FSTT) for the estimation of fetal weight. METHODS: Ultrasonic measurements of the parturient fetal cerebellar diameter, liver length, kidney length and femur thigh soft tissue thickness were made in 115 cases. The data on these parameters were analyzed with statistical methods, and a multiple linear regressional equation for predicting the fetal body weight was derived. The calculated value of fetal body weight and the estimated parameters of the fetal body were compared with the actually measured values immediately after birth. The error of estimation was analyzed. RESULTS:CD, LL, KL and FSTT were significantly correlated with neonatal birth weight, the coefficient of multiple correlation R = 0.9425 (P < 0.001); among the 115 cases, 101 had absolute error less than +/- 200 g, with an agreement rate of 88%. The sensitivity and accuracy for detection of normal fetus were 98.13% and 94.78% respectively. The multiple linear regression equation derived was BW = -1009.914 + 356.1303FSTT + 354.0682KL + 236.8484 LL + 179.7384 CD. CONCLUSION: The equation is a simple, accurate and valuable equation for the estimation of fetal weight and can be used in clinical practice.