Dudley Nicholas John, Jindal Sucheta, Varley Helen
Radiation Protection & Radiology Physics, Lincoln County Hospital, Lincoln, UK.
Pilgrim Hospital, Boston, UK.
Ultrasound. 2023 Nov;31(4):259-265. doi: 10.1177/1742271X221139796. Epub 2023 Jan 4.
Ultrasound estimated fetal weight is increasingly being used in the monitoring of fetal growth. Large systematic and random errors in estimated fetal weight have been reported; these may have an impact on the accuracy of fetal growth monitoring. The aim of this study was to attempt to evaluate these systematic and random errors by analysis of serial ultrasound data.
Ultrasound measurements and birthweights were retrospectively collected for 100 unselected patients who had undergone serial ultrasound. Birthweights were used to calculate expected fetal growth trajectories using a method for generating growth charts based on customised birthweights. Estimated fetal weight results were then compared with the expected growth trajectories to evaluate systematic and random differences.
Incomplete measurement sets were excluded, reducing the number of scans to less than three for 13 subjects. A further 17 subjects with suspected pathological growth trajectories were excluded. The final analysis included 70 subjects with a total of 246 scans. The mean difference between estimated fetal weight and expected weight over three to six scans ranged from -17.5% to 38.3% with a mean of 8.4%, representing the systematic difference. The standard deviation of these differences ranged from 0.4% to 21% with a mean of 4.3%, representing random difference.
Systematic and random differences between estimated fetal weight and expected fetal weight are significant and make interpretation of fetal growth difficult. Further improvements to formulae and growth curves are required and audit of fetal measurements is essential to service improvement.
超声估计胎儿体重在胎儿生长监测中的应用越来越广泛。据报道,超声估计胎儿体重存在较大的系统误差和随机误差;这些误差可能会影响胎儿生长监测的准确性。本研究旨在通过分析系列超声数据来评估这些系统误差和随机误差。
回顾性收集了100例接受系列超声检查的未选择患者的超声测量数据和出生体重。使用基于定制出生体重生成生长图表的方法,用出生体重计算预期胎儿生长轨迹。然后将估计胎儿体重结果与预期生长轨迹进行比较,以评估系统差异和随机差异。
排除了测量数据集不完整的情况,13名受试者的扫描次数减少到少于三次。另外排除了17名疑似病理性生长轨迹的受试者。最终分析包括70名受试者,共246次扫描。在三到六次扫描中,估计胎儿体重与预期体重之间的平均差异在-17.5%至38.3%之间,平均为8.4%,代表系统差异。这些差异的标准差在0.4%至21%之间,平均为4.3%,代表随机差异。
估计胎儿体重与预期胎儿体重之间的系统差异和随机差异显著,这使得胎儿生长的解读变得困难。需要进一步改进公式和生长曲线,对胎儿测量进行审核对于服务改进至关重要。