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Background: Simulation as a proxy tool for conditional clinical training became a powerful technique for introducing trainees to the ultrasound imaging world, allowing them to become a trained sonographer taking into consideration different rates of progress in completing a specific task against the time and ensuring the long-lasting maintenance of the obtained practical skills. Adding a costly, but effective high-fidelity simulator to the residency program justified the expense, demonstrating efficiency of training for improving the clinical performance and confidence of trainees., Materials and Methods: A pilot study in Riga Maternity Hospital within the framework of the study "Role of metabolome, biomarkers and ultrasound parameters in successful labor induction" (Fundamental and Applied Research Programme lzp-2021/1-0300) was performed between March 1st 2022 and 31st April 2022. A virtual-reality simulator (ScanTrainer, Medaphor TM , Cardiff, UK) was used with the teaching module for assessment of the uterine cervix. Five trainees in obstetrics and two young specialists included in the study. None of them had Fetal Medicine Foundation certificate of competence in the assessment of the uterine cervical lenght before. The time used on the simulator, the number of simulations and a mean confidence in cervical length assessment before and after simulation were recorded., Results: The study on assesment of uterine cervical lenght demonstrated statistically significant increase in confidence (p=0.008) and statistically significant decrease in time needed to complete correctly the same tasks for the trainees (p=0.008) that shows a positive learning curve over the time of training on ScanTrainer, Medaphor., Conclusions: The simple task allows to become a certified specialist in uterine cervical assessment in the short period of time. That support the productiveness of the simulation-based education. The training program should be updated taking into consideration simulation curriculum., Competing Interests: The authors declare no conflict of interest, (Copyright © 2022 Natālija Vedmedovska, Anda Ķīvīte-Urtāne, Ija Lisovaja, Laura Rācene, Līva Ķīse, Beāte Sārta, Agnija Vaska, Zane Rostoka, Violeta Bule, Ieva Pitkēviča, Dace Rezeberga. Published by Vilnius University Press.)

Objectives: To compare the values of ultrasound and clinical parameters for predicting outcomes of induction of labor (IOL) among healthy nulliparous women with a singleton, term cephalic pregnancy., Methods: The cervical length, cervical strain elastography, posterior cervical angle, head-perineum distance, Bishop score, and maternal parameters were assessed before IOL with a combined method-Foley catheter and Misoprostol perorally. The main outcome was vaginal delivery., Results: Variation in cervical tissue elasticity, represented by elasticity index (E), was significantly different between outcome groups-vaginal delivery and cesarean section (CS) in internal os, in the anterior lip near the cervical canal and the midpoint of the anterior and posterior lip ( p  < 0.05). The E was higher-softer in the vaginal delivery group. The overall elasticity was significantly higher in the middle part of the cervix in the vaginal delivery group. However, other ultrasound metrics did not differ significantly across the outcome groups. Overall, women who delivered vaginally were taller and had a lower pre-pregnancy BMI ( p  = 0.02 for both variables). Univariate and multivariate analyses showed maternal height was the significant independent predictor of CS (AOR 0.91, 95% CI 0.84-0.98). The prognostic value for vaginal delivery, based on cervical length, maternal height, Bishop score, and parameters of cervical strain elastography, was poor (AUC < 0.7)., Conclusion: The study underscores the importance of cervical tissue elasticity in predicting vaginal delivery outcomes, while also highlighting that maternal height is a significant independent predictor of cesarean delivery. However, evaluated metrics in the study have limited prognostic value for predicting vaginal delivery. This suggests a need for further research to identify more reliable predictors of delivery outcomes.