Sadek, S., Farag, M., Asakr, M. (2023). SONOGRAPHIC MYOMETRIAL THICKNESS MEASUREMENT FOR THE PREDICTION OF A SUCCESSFUL INDUCTION OF LABOUR. ALEXMED ePosters, 5(3), 39-40. doi: 10.21608/alexpo.2023.230712.1677
Sameh SaadEldin Sadek; Mohammed Ahmed Farag; Marwa Ahmed Habashi Asakr. "SONOGRAPHIC MYOMETRIAL THICKNESS MEASUREMENT FOR THE PREDICTION OF A SUCCESSFUL INDUCTION OF LABOUR". ALEXMED ePosters, 5, 3, 2023, 39-40. doi: 10.21608/alexpo.2023.230712.1677
Sadek, S., Farag, M., Asakr, M. (2023). 'SONOGRAPHIC MYOMETRIAL THICKNESS MEASUREMENT FOR THE PREDICTION OF A SUCCESSFUL INDUCTION OF LABOUR', ALEXMED ePosters, 5(3), pp. 39-40. doi: 10.21608/alexpo.2023.230712.1677
Sadek, S., Farag, M., Asakr, M. SONOGRAPHIC MYOMETRIAL THICKNESS MEASUREMENT FOR THE PREDICTION OF A SUCCESSFUL INDUCTION OF LABOUR. ALEXMED ePosters, 2023; 5(3): 39-40. doi: 10.21608/alexpo.2023.230712.1677
SONOGRAPHIC MYOMETRIAL THICKNESS MEASUREMENT FOR THE PREDICTION OF A SUCCESSFUL INDUCTION OF LABOUR
1Department of Obstetrics and Gynecology. Faculty of Medicine, Alexandria University
2Department of Obstetrics and Gynaecology , Faculty of Medicine, University of Alexandria, Egypt
Abstract
Induction of labor (IOL) refers to the artificial initiation of uterine contractions before their spontaneous onset at or beyond the age of viability with the sole aim of delivery of the feto-placental unit where the benefit of pregnancy termination exceeds its prolongation. Certain maternal, fetal characteristics and ultrasound parameters have been associated with higher odds of IOL success. AIM OF THE WORK: The aim of this study was to assess the value of myometrial thickness measurement using trans-abdominal ultrasound in predicting labour induction success. PATIENTS AND METHODS: Our study recruited 60 pregnant women indicated for IOL at term. Background characteristics were collected, the Bishop score of each case was calculated, sonographic myometrial thickness was assessed using an abdominal probe, and labor was induced using either dinoprostone and oxytocin. RESULTS: Using a cut-off value of 4 mm thickness, lower-segment thickness can predict the success of normal cases with 62% sensitivity and 66% specificity. A high positive predictive value of 84.8%.