ABSTRACT
Background & Objective: As the technology used in sonography has become more advanced accurate estimation of gestational age (GA) has become more demanding to plan treatments in pregnancy. Fetal kidney length (FKL) alone or its combination with other biometric parameters can be used in GA calculation more precisely in IInd&IIIrd trimester. Methodology: Two hundred three healthy pregnant females of IInd&IIIrd trimester were analyzed for GA calculation via FKL, Bi parietal diameter (BPD) and femur length (FL) using various lenear regression models. Results: Fetal kidney could be seen easily sonographically at 16thwk of gestation. FL was the most accurate single parameter (SE + 7.95 days) followed by FKL + 9.56days; BPD was the least accurate + 9.86 days. GA can be calculated most accurately by combining FKL with FL and BPD with SE + 7.12 days. Conclusion: FKL is easy to measure in IInd and IIIrd trimester and more accurate than BPD for GA estimation. So FKL could be used alone or easily incorporated into the model for dating pregnancies after 16th wk of gestation, in particular when measurements of BPD and FL are difficult.
ABSTRACT
Background: An accurate estimation of foetal gestation age is of utmost clinical significance owing to its vast clinical implications principally in management of high risk pregnancies. Aim: To determine correlation and regression coefficient of foetal kidney length as a parameter for gestational age and to do its comparative evaluation with other foetal biometric indices. Materials and methods: A Prospective observational study was conducted on 200 women aged between 18 to 35 years with normal singleton pregnancies, over a duration of six months from December 2015 to May 2016. Gestational age and fetal kidney length was determined using Ultrasound machine PHILIPS HD7 (2.0.1) with 3- 5 MHz curvilinear transducer. Statistical analysis was done using tests of correlation and simple linear regression. All analysis was done by using IBM SSPS statistics 24and MS excel. Results: Pearson’s correlation coefficient value of 0.99 and regression coefficient or slope 1.0 noted between gestational age and fetal kidney length with a significance P< 0.001. Bardhan J, Ghosh SK, Sarkar KN, Sarkar M. Fetal kidney length as a parameter for gestational age determination and its comparative evaluation with other fetal biometric indices. IAIM, 2016; 3(8): 36-44. Page 37 Conclusions: Fetal kidney length shows a positive correlation with fetal gestational age, with a linear growth rate throughout pregnancy irrespective of underlying medical condition like intrauterine growth retardation. This study shall prove its worth in cases of engaged fetal head, where it is difficult to measure fetal bi parietal diameter and head circumference as well as in cases of intrauterine growth retardation, macrosomia and malformation where abdominal circumference measurement gives false values.
ABSTRACT
Introduction: Accuracy in estimation of gestational age (GA) has become more demanding as technology used in sonography has become more advanced. Patient’s expectations have also increased and they expect exact estimations to plan their pregnancies. Fetal kidney length (FKL) alone or in combination with other biometric indices can be used in estimating GA more precisely. Objective: The study aimed in measuring FKL and calculating GA using it as a single parameter and comparing the accuracy when combined with other biometric parameters used in estimation of GA on ultrasonography in third trimester in Indian women. Material and methods: Healthy pregnant women in third trimester with single live fetus with no maternal or fetal complications were selected for the study. FKL along with other biometric parameters were measured. The results were analyzed for finding if FKL could be used as a single parameter in estimation of GA and if the accuracy improved if combined with other indices. Results: GA was estimated in 715 cases by all four parameters in the women who came in the third trimester for ultrasonography. FKL was also measured simultaneously in these women. It was observed that average FKL increased linearly from 30.7 mm at 27 weeks to 39.4 mm at 38 weeks. Mean left kidney length was slightly but significantly more than the right kidney. GA was estimated by FKL alone and it gave results with SE ± 10.45 days and when combined with other indices accuracy improved to SE ± 5.45 days. Conclusion: FKL can be a single lone parameter in estimation of GA to give an accuracy of SE ± 10.45 days, but when used in combination with other four indices the accuracy increased to SE ± 5.5 days.
ABSTRACT
Fetal Kidney Length (FKL) is most accurate single parameter for estimating GA than other biometric indices in late 2nd and 3rd trimester and could be easily incorporated into the models for estimating GA. We evaluated role of FKL in estimation of gestational age (GA) in late 2nd & 3rd trimester. A total of 98 pregnant women with singleton pregnancy underwent serial biometric & FKL measurements ultrasonographically at 24, 28, 32, 36 and 38 weeks of gestation. These measurements were used to date the pregnancies relative to dating by last menstrual period. Linear regression models for estimation of GA were derived from the biometric indices and FKL. New models were constructed by combining different biometric indices and kidney length in various combinations. Comparison of accuracy in prediction of GA was made between individual parameters and these models to obtain best individual parameter and the best model in prediction of gestational age. Left FKL was slightly, but significantly longer than right FKL at each gestational period observed in the study. Standard error of prediction of GA was least for FKL (±8.56 days), closely followed by femur length (±8.9 days) and maximum for abdominal circumference (±11.72 days). The best model in estimating GA included all the five variables (femur length, FKL, biparietal diameter, head and abdominal circumference) with a standard error of ±7.41 days. FKL is the most accurate single parameter for estimating GA than other biometric indices in late 2nd and 3rd trimester and could be easily incorporated into the models for estimating GA.