Bitsouni Vasiliki, Gialelis Nikolaos, Tsilidis Vasilis
Department of Mathematics, University of Patras, Patras, Greece.
Department of Mathematics, National and Kapodistrian University of Athens, Athens, Attica, Greece.
R Soc Open Sci. 2025 Jun 18;12(6):250172. doi: 10.1098/rsos.250172. eCollection 2025 Jun.
Accurate assessment of estimated fetal weight (EFW) is crucial in obstetrics, yet the exact contribution of biometric parameters in sonographic formulas remains unclear. Twenty-six datasets from published studies spanning diverse populations and gestational ages were analysed, incorporating measurements of biparietal diameter (BPD), abdominal circumference (AC), head circumference (HC) and femur length (FL). Sobol' global sensitivity analysis-a variance‑based approach-quantified each parameter's influence on EFW across 29 established formulas, and bootstrapping estimated the median of the sensitivity indices with 95% confidence intervals. Results showed that AC was generally the dominant predictor, especially in later pregnancy, while BPD, HC and FL exhibited variable importance depending on formula and gestational age. Two-thirds of the formulas demonstrated parameter crossover effects, and nearly half had at least one parameter with minimal contribution. These findings indicate that parameter significance differs by both formula and gestational age, suggesting that clinicians should select EFW formulas based on gestational age, measurement reliability and fetal characteristics. Estimates made with fewer than the intended parameters can be viable in emergencies. The proposed methodology can guide the refinement of existing formulas and the development of improved fetal weight estimation models.
准确评估胎儿估计体重(EFW)在产科中至关重要,但生物测量参数在超声公式中的具体贡献仍不明确。分析了来自涵盖不同人群和孕周的已发表研究的26个数据集,纳入了双顶径(BPD)、腹围(AC)、头围(HC)和股骨长度(FL)的测量值。索伯尔全局敏感性分析——一种基于方差的方法——量化了每个参数对29个既定公式中EFW的影响,自举法估计了敏感性指数的中位数及其95%置信区间。结果表明,AC通常是主要预测指标,尤其是在妊娠晚期,而BPD、HC和FL的重要性因公式和孕周而异。三分之二的公式显示出参数交叉效应,近一半的公式至少有一个参数贡献最小。这些发现表明,参数的重要性因公式和孕周而异,这表明临床医生应根据孕周、测量可靠性和胎儿特征选择EFW公式。在紧急情况下,使用少于预期参数进行的估计可能是可行的。所提出的方法可以指导现有公式的改进和改进胎儿体重估计模型的开发。