الفهرس 
Recurrent Pregnancy LossOnly 14 pages are availabe for public view
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Abstract
Unexplained Recurrent Pregnancy Loss remains a frustrating problem for the clinician and a distressing condition for the affected couple.
This study was performed at Ain Shams Maternity Hospital in which women were classified into two groups. (group A): 50 participants presented with a history of unexplained recurrent pregnancy loss (the study group) and (group B): 50 participants who had no history of recurrent pregnancy loss and at least 1 child born at term (the control group).
All women to be recruited gave an informed consent and were subjected to complete history taking, general, abdominal and pelvic examination.
All of them were subjected to two dimensional ultrasound, power Doppler for measurement of uterine artery pulsatility index and 3D power Doppler ultrasound on endometrium and subendometrium to calculate vascularity index(VI), flow index(FI) and vascular flow index(VFI) using VOCAL (virtual organ computer aided analysis) technique.
In this study we couldn’t provide an evidence to support a relationship between age and body mass index and recurrent pregnancy loss.
Also, uterine artery pulsatility index in case group has no statistically significant with control group.
AS regards vascularity index (VI), it was lower in case group (1.15±0.27) than in control group (1.66±0.33) which was statistically insignificant (p value 0.0001).
As regards flow index (FI), it was also has no statistically significant difference between study group and control group.
As regards vascularization flow index (VFI), it was higher in control group(0.35±0.11)than in case group(0.23±0.10) which was statistically significant(p value 0.001).
As regards endometrial thickness, it was higher in case group (10.66±2.10) than in control group (9.83±1.19) which was no statistically significant (p value 0.051).
In this study, the receiver operating characteristic (ROC) representing the sensitivity and specificity of the subendometrial VFI derived from the simple binary logistic regression model.
Area under curve=0.783(0.689-0.859) 95% CI that p value = 0.0001(p value <0.05) highly significant. According to the test and the results, the best cut off value is 0.25 with sensitivity 72% and specificity 72%.