Department of Radiology, School of Medicine, University of California-San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA.
Am J Obstet Gynecol. 2010 Jul;203(1):76.e1-76.e10. doi: 10.1016/j.ajog.2010.01.046.
The purpose of this study was to develop a reliable model for the calculation of gestational age (GA) in second and third trimesters with the use of amniotic fluid (AF) metabolite profiles that were determined by magnetic resonance spectroscopy.
High-resolution (11.7 T) ex vivo magnetic resonance spectroscopy was performed on 95 AF samples (mean, 31.7 weeks; range, 15.6-39.9 weeks). GA was determined by last menstrual period or first-trimester ultrasound scanning. Concentrations of 21 AF metabolites were measured with automated techniques. Metabolite concentrations, inverses, natural logs, and squares were entered as predictive variables in a stepwise linear regression model.
The following formula was derived: GA = 64.922 - (14.456 x alanine) + (4.965 x natural log [creatinine]) - (0.931 x glucose) - (5.202 x valine). This model fit the data with an R(2) value of 0.926. Average error among all samples was +/-1.75 weeks (SD, +/-1.43 weeks), for the second trimester was +/-2.21 weeks (SD, +/-1.78 weeks), and for the third trimester was +/-1.59 weeks (SD, +/-1.26 weeks).
Statistical modeling accurately predicted GA with amniotic fluid metabolite profiles that were obtained by magnetic resonance spectroscopy, which may represent a significant improvement over conventional ultrasound dating in the third trimester. Future studies should compare these techniques directly.
本研究旨在建立一种可靠的模型,通过磁共振波谱法测定羊水代谢产物谱,计算第二和第三孕期的孕龄(GA)。
对 95 份羊水样本(平均 31.7 周;范围 15.6-39.9 周)进行高分辨率(11.7 T)离体磁共振波谱分析。GA 通过末次月经或孕早期超声扫描确定。采用自动化技术测量 21 种羊水代谢产物的浓度。将代谢产物浓度、倒数、自然对数和平方作为预测变量输入逐步线性回归模型。
得出以下公式:GA=64.922-(14.456×丙氨酸)+(4.965×自然对数[肌酐])-(0.931×葡萄糖)-(5.202×缬氨酸)。该模型拟合数据的 R²值为 0.926。所有样本的平均误差为±1.75 周(SD,±1.43 周),第二孕期为±2.21 周(SD,±1.78 周),第三孕期为±1.59 周(SD,±1.26 周)。
通过磁共振波谱法获得的羊水代谢产物谱进行统计学建模可以准确预测 GA,这可能比传统的超声在第三孕期的检测有显著改善。未来的研究应直接比较这些技术。