Search

To assess whether pre-labor measurement of the angle of progression (AOP) can assist in predicting a successful vaginal birth after cesarean in women without a previous vaginal birth. A prospective observational cohort study performed in a single tertiary center including women at term with a single previous cesarean delivery (CD), without prior vaginal births, who desire a trial of labor. Transperineal ultrasound was used to measure the AOP before the onset of labor. The managing staff in the delivery suite was blinded to the ultrasound measurements. Clinical data and delivery outcome were retrieved from medical records. The study was approved by the institutional ethics committee (KMC 0117-10). Of the 111 women included in the study, 67 (60.4%) had a successful vaginal birth after CD. Women were sonographically assessed at a median of 3 days [interquartile range (IQR) 1–3 days] prior to delivery. The median AOP was significantly narrower in women who eventually underwent a CD than in those who delivered vaginally (88°, IQR 78–96° vs. 99°, IQR 89–107°, respectively; p <.001). An AOP >98° (derived from a receiver operating characteristic curve) was associated with a successful vaginal birth after CD in 87.5% of women. Multivariable regression analysis demonstrated that each additional 1° in the AOP increases the chance for a successful vaginal birth after CD by 6%. Pre-labor AOP may be a useful sonographic tool for predicting vaginal birth after CD and can assist in consulting primiparous women with a prior CD opting for a trial of labor. [ABSTRACT FROM AUTHOR]

Background/aims: The study aimed to assess whether the use of intrapartum transperineal ultrasound (US) can reduce the rate of failed vacuum extraction (VE).Methods: This is a retrospective cohort study including all women delivering at term with the diagnosis of protracted second stage of labor. The mode of delivery and rate of failed VE were compared between women who underwent a US examination prior to the decision on obstetrical interventions ("+US" group) and those in whom clinical decisions were based upon digital assessment only ("no-US" group).Results: The study included 635 women. Among the "no-US" group (536), there were 13 failed VE attempts (3.6%) vs. none in the "+US" group (99, p = 0.1). There was a significant difference between the groups regarding mode of delivery (p = 0.001), with a lower cesarean section (CS) rate (20.2 vs. 27.8%) among the "+US" group. Maternal age, body mass index, nulliparity, gestational age at delivery, and birth weight, as well as neonatal short-term outcome did not differ significantly between the 2 groups.Conclusions: We demonstrate that among women who had the addition of intrapartum US during the second stage of labor there was a trend toward a lower rate of failed VE (although not reaching statistical significance), with a lower rate of CS but not affecting neonatal outcome. [ABSTRACT FROM AUTHOR]

Objectives: To develop a deep learning (DL)-model using convolutional neural networks (CNN) to automatically identify the fetal head position at transperineal ultrasound in the second stage of labor., Material and Methods: Prospective, multicenter study including singleton, term, cephalic pregnancies in the second stage of labor. We assessed the fetal head position using transabdominal ultrasound and subsequently, obtained an image of the fetal head on the axial plane using transperineal ultrasound and labeled it according to the transabdominal ultrasound findings. The ultrasound images were randomly allocated into the three datasets containing a similar proportion of images of each subtype of fetal head position (occiput anterior, posterior, right and left transverse): the training dataset included 70 %, the validation dataset 15 %, and the testing dataset 15 % of the acquired images. The pre-trained ResNet18 model was employed as a foundational framework for feature extraction and classification. CNN 1 was trained to differentiate between occiput anterior (OA) and non-OA positions, CNN 2 classified fetal head malpositions into occiput posterior (OP) or occiput transverse (OT) position, and CNN 3 classified the remaining images as right or left OT. The DL-model was constructed using three convolutional neural networks (CNN) working simultaneously for the classification of fetal head positions. The performance of the algorithm was evaluated in terms of accuracy, sensitivity, specificity, F1-score and Cohen's kappa., Results: Between February 2018 and May 2023, 2154 transperineal images were included from eligible participants across 16 collaborating centers. The overall performance of the model for the classification of the fetal head position in the axial plane at transperineal ultrasound was excellent, with an of 94.5 % (95 % CI 92.0--97.0), a sensitivity of 95.6 % (95 % CI 96.8-100.0), a specificity of 91.2 % (95 % CI 87.3-95.1), a F1-score of 0.92 and a Cohen's kappa of 0.90. The best performance was achieved by the CNN 1 - OA position vs fetal head malpositions - with an accuracy of 98.3 % (95 % CI 96.9-99.7), followed by CNN 2 - OP vs OT positions - with an accuracy of 93.9 % (95 % CI 89.6-98.2), and finally, CNN 3 - right vs left OT position - with an accuracy of 91.3 % (95 % CI 83.5-99.1)., Conclusions: We have developed a DL-model capable of assessing fetal head position using transperineal ultrasound during the second stage of labor with an excellent overall accuracy. Future studies should validate our DL model using larger datasets and real-time patients before introducing it into routine clinical practice., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Introduction: This review aims to present the different applications and benefits of intrapartum ultrasound (IPUS) compared to the traditional digital vaginal examination. IPUS is non-invasive, does not cause pain or discomfort to the woman and may reduce the rate of ascending infections. In comparison to the vaginal exam, IPUS is more accurate in diagnosing fetal head position and station, is easy to acquire and has a faster learning curve. Applications of IPUS include: 1. Diagnosing the fetal head position either by suprapubic or trans-perineal ultrasound when the fetal head is low, which is more accurate than the digital vaginal exam; 2. Measuring cervical dilatation and effacement by trans-perineal ultrasound. This may be of more value especially in patients with ruptured membranes or patients who have difficulty with invasive examinations; 3. Assessing fetal head station and labor progress by measuring the head-perineal distance (HPD) and the angle of progression (AOP); 4. Estimating the pelvic size relative to the fetal head by measuring the pubic arch angle and fetal head circumference; 5. Predicting the mode of delivery before and during the labor process; 6. Prior to deciding the mode of delivery in a prolonged second stage of labor; 7. Providing a visual biofeedback to improve pushing efforts and mother-baby connection.