Prospective Study Using AI Ultrasound to Predict Outcomes in Pregnancies with Placental-Related Fetal Growth Restriction Focused on Early-Onset Isolated Placental Insufficiency and Abnormal Umbilical Artery Flow

What this Trial Is About

Researchers are conducting a prospective cohort study to better understand pregnancies affected by placental-related fetal growth restriction FGR, focusing on those with isolated early-onset placental insufficiency and abnormal umbilical artery Doppler findings. The aim is to develop predictive models that integrate new intrauterine monitoring indicators along the fetal brain-placenta-heart axis with traditional fetal surveillance methods. This approach seeks to improve risk assessment and guide clinical care to enhance pregnancy outcomes. The study collects detailed fetal measurements every two weeks after FGR diagnosis, including fetal growth parameters such as biparietal diameter, head circumference, abdominal circumference, and femur length. Conventional Doppler ultrasound measures, like umbilical artery pulsatility index and middle cerebral artery flow, are taken regularly. Additional research assessments include placental vascular flow, fetal heart performance indices, and fetal brain development markers. A fetal brain MRI is also performed between 28 and 30 weeks of gestation. Participants will undergo ongoing monitoring during pregnancy, with repeated ultrasounds and Doppler scans at regular intervals. Researchers will track pregnancy outcomes during the entire pregnancy and up to 28 days after birth. This monitoring aims to evaluate the accuracy of the predictive models in identifying adverse perinatal and neonatal outcomes. The study duration spans from initial diagnosis through delivery and the early neonatal period, providing comprehensive data for analysis.

AI-Based Ultrasound Prediction of Pregnancy Outcomes in Placental-Related Fetal Growth Restriction (MVM-FGR): A Prospective Cohort Study