الفهرس 
INDUCTION OF LABOROnly 14 pages are availabe for public view
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Abstract
Background: Induction of labor has become more frequent over the latest decades.
Success of the induction of labor is determined, in large part, by the initial state of the
cervix. Traditionally, preinduction cervical assessment is based on the digital
examination of the cervix using the pelvic scoring system proposed by Bishop. To
evaluate the value of the Posterior cervical angle and the cervical length, both
measured by ultrasonography, compared to the Bishop score in prediction of the
outcome of induction of labor.
Objective: To assess the value of the posterior cervical angle and the cervical length
both measured by ultrasonography compared to the Bishop score in the prediction of
the IOL outcome in pregnant women at full-term gestation.
Patients and Methods: This cross-sectional study was conducted at Ain Shams
University Maternity Hospital (labor ward) in the period between January 2024 and
June 2024.
Results: Statistical analysis of our results showed that successful induction of labor
correlates with significantly higher PCA (118.19 ± 8.83 vs. 105.89 ± 6.7), lower basal
CL (30.58 ± 4.54 vs. 38.79 ± 6.92) and higher Bishop Score (3.75 ± 1.18 vs. 1.86 ±
1.1) (P= <0.001). There were no differences in the rate of success of induction
between the studied groups as regards demographic characteristics (age, BMI),
gestational age and ROMs. Statistical analysis of our results showed that there was no
significant statistical difference according to induction outcome regarding neonatal
condition, NICU admission and intrapartum sequelae (P= 1.000 & 1consecutively)
Conclusion: In prediction of successful induction of labor, CL as significant as
Bishop score in prediction of induction of labor at ≤ 32 mm, ≥ 3 cutoff point
diagnostic accuracy =82.0% & 82.0%) respectively and cervical length was
significantly lower among cases with successful induction of labor. While PCA was
the most specific cutoff >110 degrees, with a sensitivity of 75.0%, a specificity of
92.86 % and accuracy of 80%.