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العنوان
Ultrasonographic measurement of placental thickness and its correlation with estimated fetal weight /
المؤلف
Abd El-Samei, Mohamed Mahmoud Hamdy.
هيئة الاعداد
باحث / احمد وليد انور
مشرف / أحمـــد سامي عبد العظيم
مشرف / عزيزه علي نجم
الموضوع
Maternal fetal exchange Mathematical models. Oxygen transport Mathematical models. Placenta Blood-vessels.
تاريخ النشر
2023.
عدد الصفحات
77 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الطب
تاريخ الإجازة
1/1/2023
مكان الإجازة
جامعة بنها - كلية طب بشري - أمراض النساء والتوليد
الفهرس
Only 14 pages are availabe for public view

from 105

from 105

Abstract

placenta during gestation is necessary for supporting of a healthy fetus. The principal function of human placenta is providing nutrients and oxygen to the fetus .Adequate fetal growth and subsequent normal birth weight depends on the efficient delivery of nutrients from the mother to the fetus through normally functioning utero-placental organ .
Ultrasonography (US) enables the evaluation of the placenta and the detection of placental abnormalities using different parameters such as placental thickness and volume or especial techniques like three-dimensional (3D) power Doppler .
The aim of this observational longitudinal study was to study the relationship between placental thickness during the second and third trimesters and birth weights and early detection of any pathology in the placental bed and villi which helps obstetrician to consider prenatal care precisely .
This study included 100pregnant women who underwent routine ultrasound examination in the second and third trimesters, All uncomplicated pregnant women Aged between 20 and 35 years with Singleton viable pregnancy who attended the outpatient clinic and accepted to participate in the study during the duration of the study.
The eligible enrolled participants have done Detailed history to rule out medical and surgical illnesses,General physical and obstetrical examinations 1st trimester screening at antenatal clinic for baseline demographic and obstetric data including age, parity, body mass index (BMI) and past medical events. Smoking, alcohol and drug use were also determined.