Quantitative Approach to Quality Review of Prenatal Ultrasound Examinations: Incomplete Detailed Fetal Anatomy Exams

Background/Objectives: It is challenging to obtain all the required views for a fetal anatomy ultrasound examination, so exams are often incomplete. Our objective was to develop and demonstrate quantitative methods to assess the overall rate of incomplete exams for an ultrasound practice and for individual examiners. Methods: We performed a retrospective quality review of all detailed fetal anatomy exams at seven maternal-fetal medicine practices in 2024 with singleton pregnancies and cardiac activity present. The exams were considered incomplete if any of the 36 required anatomy views were reported as inadequate. The analysis focused on exams at a gestational age (GA) of 18.0 to 23.9 weeks. The rates of incomplete exams were tabulated across practices and for individual sonographers and physicians. Multivariable logistic regression was used to adjust for known covariates. Results: In total, 15,723 detailed fetal anatomy exams were performed at 18.0-23.9 weeks of gestation. Incomplete exams were significantly more common with maternal obesity, prior cesarean, maternal age < 35 years and GA < 19 weeks. There were significant between-practice differences in the rate of incomplete exams, varying from 1% to 53%. Incomplete exams had a median of four inadequate views (interquartile range 2-7). Practices also varied significantly in the rate of missing measurements for nuchal fold (0 to 9%) and nose bone length (11-100%). There were significant between-individual differences in the rate of incomplete exams. The tabulation of specific views showed some individuals with very high rates of inadequate views of certain elements. Conclusions: For some practices, there is a need for practice-wide quality improvement to increase the rate of measurement of the nuchal fold and nose bone. For selected individuals, the tabulation of which anatomy elements were inadequate can identify areas for targeted education or mentorship. We suggest strategies and software enhancements that may reduce the rate of incomplete exams. Sample data and statistical analysis scripts are provided for those who wish to adopt these methods to review their own data.