Traditional methods for estimating fetal weight (EFW) often miss the mark because they focus on bone and circumference while ignoring fetal fat. This study proposes a more inclusive formula to fix that. Current models (using BPD, HC, AC, and FL) are the standard but suffer from high observer variability. These formulas struggle at the extremes (macrosomia or growth restriction) and fail to account for fetal adiposity, which makes up 10-12% of a newborn's mass. The study introduces a novel formula that moves beyond simple bone measurements by integrating Soft Tissue Thickness (STT). By accounting for a broader range of biological variants and fat distribution, this new model aims to provide a non-inferior, more precise predictive value for fetal weight compared to traditional methods.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
development and validation of novel method for fetal weight estimation
Timeframe: within 48- 72 hours of delivery
Khaled Mustafa Attyia, Master's degree