This study was designed to compare the work flow efficiency of manual measurements of 5 fetal parameters with a novel technique that automatically measures these parameters from 2-dimensional sonograms. This prospective study included 200 singleton pregnancies between 15 and 40 weeks' gestation. Patients were randomly allocated to either manual (n = 100) or automatic (n = 100) fetal biometry. The automatic measurement was performed using a commercially available software application. A digital video recorder captured all on-screen activity associated with the sonographic examination. The examination time and number of steps required to obtain fetal measurements were compared between manual and automatic methods. The mean time required to obtain the biometric measurements was significantly shorter using the automated technique than the manual approach (P < .001 for all comparisons). Similarly, the mean number of steps required to perform these measurements was significantly fewer with automatic measurements compared to the manual technique (P < .001). In summary, automated biometry reduced the examination time required for standard fetal measurements. This approach may improve work flow efficiency in busy obstetric sonography practices.
This study was designed to compare the work flow efficiency of manual measurements of 5 fetal parameters with a novel technique that automatically measures these parameters from 2‐dimensional sonograms. This prospective study included 200 singleton pregnancies between 15 and 40 weeks' gestation. Patients were randomly allocated to either manual (n = 100) or automatic (n = 100) fetal biometry. The automatic measurement was performed using a commercially available software application. A digital video recorder captured all on‐screen activity associated with the sonographic examination. The examination time and number of steps required to obtain fetal measurements were compared between manual and automatic methods. The mean time required to obtain the biometric measurements was significantly shorter using the automated technique than the manual approach (P < .001 for all comparisons). Similarly, the mean number of steps required to perform these measurements was significantly fewer with automatic measurements compared to the manual technique (P < .001). In summary, automated biometry reduced the examination time required for standard fetal measurements. This approach may improve work flow efficiency in busy obstetric sonography practices.
Objective-To identify the main determinants of mode of delivery preference among urban dwelling women of lower socioeconomic status (SES).Methods-Over a 12-month period, a self-completion 36-item questionnaire was administered to a convenience sample of 308 women within the first 3 postpartum days. Non-parametric tests were used for analysis.Results-Study participants were mostly African American (>85%), single mothers (>75%), and unemployed (≥55%). Among the women, 85.7% had vaginal delivery (VD) and 14.3% had cesarean delivery (CD). Women who preferred CD (10%) were more likely to be concerned about a vaginal tear/episiotomy during VD, forceps, and a "big" baby compared with women who preferred VD, for whom "pushing the baby out myself" and "fear of cesarean" were the most important factors. In the final model of 7 factors, the 3 main factors found to positively impact maternal preference for CD were a vaginal cut during VD (P<0.001), higher mean BMI (P=0.001), and cesarean as the most recent delivery type (P<0.001). The total explained variance by this model was 46%.Conclusions-Short-term complications of a VD, higher BMI, and a previous cesarean delivery are the most significant factors that impact the preferences of women of lower SES for future mode of delivery.
(1) Four-dimensional volume data sets can be remotely acquired and accurately interpreted by different centers. (2) Among centers with technical expertise, 4DUS is an accurate and reliable method for fetal echocardiography.
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