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Establishment of fetal biometric charts using quantile regression analysis.
MedLine Citation:
PMID:  23269707     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Objectives- Fetal growth evaluation is an essential component of pregnancy surveillance. There have been several methods used to construct growth charts. The conventional charts used in current daily practice are based on small numbers and traditional statistical methods. The purpose of this study was to improve fetal biometric charts based on a much larger number of observations with an alternative statistical method: quantile regression analysis. A comparison between the charts is presented. Methods- During the 12 years of study, 17,708 sonographic examinations of pregnant women from the north of Israel, between 12 and 42 weeks of pregnancy, were performed. Fetal measurements were obtained by several operators using various equipment and included head circumference, abdominal circumference, and femur length. Results- Growth charts were established based on these measurements. Conclusions- In this study, we constructed biometric growth charts using a large cohort of pregnant women. These charts offer the advantages of specific estimated regression parameters for each specified percentile, thus better defining the normal range. We suggest using these new charts in routine daily obstetric practice.
Authors:
Etty Daniel-Spiegel; Ehud Weiner; Ilan Yarom; Etti Doveh; Perry Friedman; Ayala Cohen; Eliezer Shalev
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine     Volume:  32     ISSN:  1550-9613     ISO Abbreviation:  J Ultrasound Med     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-12-27     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8211547     Medline TA:  J Ultrasound Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  23-33     Citation Subset:  IM    
Affiliation:
Department of Obstetrics and Gynecology, Haemek Medical Center, 18101 Afula, Israel. spiegelr@zahav.net.il.
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