A McLennan BSc, MB BS (Hons), FRCOG, FRANZCOG (COGU); PJ Schluter BSc (Hons), MSc, PhD.
Construction of modern Australian first trimester ultrasound dating and growth charts
Article first published online: 30 OCT 2008
© 2008 The Authors Journal compilation © 2008 The Royal Australian and New Zealand College of Radiologists
Journal of Medical Imaging and Radiation Oncology
Volume 52, Issue 5, pages 471–479, October 2008
How to Cite
McLennan, A. and Schluter, P. (2008), Construction of modern Australian first trimester ultrasound dating and growth charts. Journal of Medical Imaging and Radiation Oncology, 52: 471–479. doi: 10.1111/j.1440-1673.2008.01992.x
Conflicts of interest: None
- Issue published online: 30 OCT 2008
- Article first published online: 30 OCT 2008
- Submitted 14 November 2007; accepted 16 April 2008.
- Australian chart;
- biparietal diameter;
- crown-rump length;
- first trimester prenatal ultrasound
Accurate pregnancy dating is vital to obstetric management. However, first trimester fetal charts commonly used in Australia rely on data reported more than three decades ago. This study reports first trimester dating and growth charts for crown-rump length between 5 and 14 weeks of gestation and biparietal diameter between 9 and 14 weeks of gestation on an Australia population using modern real-time ultrasound equipment. All consenting eligible women attending a large Sydney clinic for first trimester ultrasound between March 2005 and December 2006 were recruited. Measurements were carried out to Australasian Society for Ultrasound in Medicine standard protocols. Statistical analyses were undertaken using polynomial regression models and thorough diagnostic checks made. Overall 396 eligible women consented to the study, with 268 between 9 and 14 weeks of gestation. The average participant age was 34 years (range 22–45 years), 371 and all yielded valid biometry measurements. Equations, means and 90% reference intervals for crown-rump length measurements and biparietal diameter measurements were derived using polynomial regression models. Thorough residual and diagnostic checks were made. Once validated by others, we believe they will warrant consideration for use by Australasian Society for Ultrasound in Medicine.