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المستخلص Summary Accuracy in estimation of gestational age (GA) has become more demanding as technology used in ultrasonography 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. An accurate estimation of gestational age is fundamental for better management of pregnancy, especially high-risk pregnancy. It is helpful in pregnancy to know the certain date of conception (Ahmadi et al., 2015). Sonographic measurements of fetal parameters are the basis for accurate determination of gestational age and detection of fetal growth abnormalities .Selection of the most useful single biometric parameter depends on the timing and purpose of measurement and is influenced by various factors where in second & third trimester kidney length estimation was much better to depend upon as a single parameter than BPD which is much affected by engaged head & also better than AC that is affected by IUGR. 77 Establishing the gestational age of the fetus, especially in late trimester is a challenge to aptly treat the pregnant woman. Ultrasound parameters like BPD, HC, AC & FL in second and third trimesters are not very reliable for dating the pregnancy. Fetal kidney length has been studied and shown to strongly correlate with the gestational age in late trimesters even in IUGR fetuses (Shivalingaiah et al.,2014). The aim of this study was to evaluate fetal kidney length as a parameter used in estimation of gestational age estimation as accurate as BPD,FL, AC. This study was conducted at the department of Obstetrics & Gynecology, Faculty of Medicine, Ain Shams University.75 pregnant females were enrolled in this study where training sample was taken (25 cases) and ultrasound assessment of fetal kidney length was done then an equation was derived : Gestational age by date (days) = 51.1165+(5.02 * mean kidney length in mm) Then the equation was confirmed on the validation sample (50 cases) to prove its validity where the standard error was found to be : + 6.4 days SE(est) =√ = ±6.4 days |