Thennarasi, K (2014) Prospective study of gestational age estimation by using USG guided fetal foot length at 15-40 weeks done in O & G Department, Govt. Kilpauk Medical College Chennai. Masters thesis, Kilpauk Medical College, Chennai.
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Abstract
Fetal foot length measurement correlates well in prediction of gestational age (P value <0.0001) along with conventional parameters like biparietal diameter femur length and abdominal circumference. It is a reliable biometric parameter in estimation of gestational age in patients with irregular cycles. It has got good stastistically significant correlation in second trimester prediction of gestational age. It has no statistical significance in estimating GA at various gestational ages. It has got less correlation in prediction of GA in patients with IUGR compared to biparietal diameter. INTRODUCTION: sonography to obstetrics by IAN DONALD & collegues in 1958 is now regarded as one of the major milestones of modern medicine. Whereas ultrasonography was in use for a quite a long time, recent advances like colour Doppler and high intensity transducers have made diagnosis more precise and there are technologically advanced four dimensional ultrasound which allows the clinician to acquire a single volume that can be reformatted at any orientation. AIM OF THE STUDY: To evaluate the role of fetal foot length as a biometric parameter in estimation of gestational age along with conventional parameters biparietal diameter, femur length, abdominal circumference in normal singleton pregnancy. MATERIALS & METHODS: Pregnant women of gestational age 15-40 weeks as assessed clinically and other conventional USG parameters attending the antenatal outpatient department and inpatient department during second & third trimester in our govt. kilpauk medical college hospital Chennai. Inclusion criteria: Pregnant women of gestational age 15-40 weeks attending antenatal outpatient department and inpatient department in normal singleton pregnancy. Exclusion criteria: 1. Structural anomalies. 2. Oligohydraminous. 3. Multiple pregnancies. SAMPLE SIZE: Sample Size for Frequency in a Population-by Open Episoftware. Population size(for finite population correction factor or fpc)(N): 3000. Hypothesized % frequency of outcome factor in the population (p): 50%+/-5. Confidence limits as % of 100(absolute +/- %)(d): 5%. Design effect (for cluster surveys-DEFF): 1. Confidence Level: 95(%) Sample Size: 341. Statistical Analysis: Done by SPSS Package version 17. The continuous variable Foot length, GA by Foot length with respect to Age distribution is done by Analysis of Variance. The statistical Probability value < 0.05 has taken as Significant. The measure of agreement of foot length with BPD, Femur length and Abdominal circumference were done by correlation coefficient and scatter diagram. CONCLUSIONS: 1. Fetal foot length measurement is a reliable parameter in the prediction of gestational age along with conventional parameters biparietal diameter, femur length, and abdominal circumference. 2. Fetal foot length measurement reliably predicts gestational age in antenatal women with irregular menstrual cycles. 3. Fetal foot length can be influenced by fetal growth abnormalities. This study imply that the fetal foot length measurement has a limited role in growth abnormalities. 4. further studies are required in cohort of IUGR to establish the role of foot length in gestational age prediction. 5. Foot length is more accurate in ascertaining period of gestation in second trimester when compared to third trimester. 6. Foot length measurement has no statistical significance in estimating GA in various gestational ages. 7. Fetal foot length is a reliable biometric parameter in predicting accurate gestation age upon which obstetric decisions can be made with precise for a better perinatal outcome.
| Item Type: | Thesis (Masters) |
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| Uncontrolled Keywords: | Fetal foot length ; gestational age. |
| Subjects: | MEDICAL > Obstetrics and Gynaecology |
| Depositing User: | Devi S |
| Date Deposited: | 24 Jun 2018 11:21 |
| Last Modified: | 24 Jun 2018 11:21 |
| URI: | http://repository-tnmgrmu.ac.in/id/eprint/8600 |
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