Estimation of Gestational Age by Transcerebellar Diameter and Its Comparison with Biparietal Diameter, Head Circumference, Abdominal Circumference and Femur Length in Normal Singleton Pregnancy.
Journal Title: International Journal of Medical Science And Advanced Clinical Research (IJMACR) - Year 2019, Vol 2, Issue 3
Abstract
Estimation of gestational age by transcerebellar diameter and its comparison with biparietal diameter, head circumference, abdominal circumference and femur length in normal singleton pregnancy. Introduction Precise determination of gestational age in antenatal period is necessary for the management of pregnancies. In contemporary obstetric practice use of sonography is the most reliable and effective way for assessment of gestational age. Transcerebellar diameter is an emerging alternative marker for gestational age estimation. The present study was undertaken to estimate gestational age by transcerebellar diameter in normal pregnancy between 18 to 36 weeks and its comparison with other foetal biometric measurements. Methodology It was a hospital based, prospective cross-sectional study over a period of 6 months from October 2018 to March 2019. 150 women with normal singleton pregnancies between 18 to 36 weeks of gestation were included in the study after obtaining consent. Ultrasound measurements of TCD, BPD, HC, AC and FL were done. Data were analyzed statistically. Results Regression analysis between TCD and gestational age shows a linear relationship. The correlation coefficient between TCD & GA was 0.9684 and p value <0.0001. Regression analysis between TCD and other parameters (BPD, HC, AC and FL) shows significant linear relationship with correlation coefficient 0.9414, 0.9493, 0.9648 and 0.9576 respectively and p value <0.0001. Conclusion: A linear relationship between TCD and gestational age was observed indicating the reliability in the estimation of gestational age and monitoring fetal growth. We recommend that TCD be used as an important sonographic biometric parameter in fetuses for accurate prediction of GA.
Authors and Affiliations
Dr Nupur Hooja
Keywords
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