Document Detail


Ultrasound-determined fetal subcutaneous tissue thickness for a birthweight prediction model.
MedLine Citation:
PMID:  17845321     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
AIM: The aim of this study was to explore a birthweight prediction model using ultrasound determined tissue thickness (SCTT) parameters. METHODS: We measured routine ultrasonographic biometric parameters and in addition, fetal SCTT in 201 healthy singleton pregnancies. Mid-arm fat and lean mass, mid-thigh fat and lean mass, subscapular fat mass and abdominal fat mass (AFM) were measured in order to calculate a birthweight prediction model. Ultrasound measurements were analyzed using an 'anovarepeated measures model'. The growth rate (beta-slope) of the selected parameters was computed and the correlation coefficient with the birthweight and the Kendall rank correlation tau, were calculated. RESULTS: From the ultrasound determined SCTT parameters, only abdominal circumference (AC), AFM, and MTLM showed a statistically significant trend. The beta-slope of mid-thigh lean mass was excluded since it exhibited significant correlation with the beta-slope of AFM. The final regression model could be calculated as: birthweight (gr.) = intercept +alpha(1)(AFM beta-slope) + alpha(2)(AC beta-slope), where alpha(1), alpha(2) represent regression coefficients. CONCLUSIONS: We provide a graphical birthweight prediction model for clinical practice using conventional and specific ultrasound measurements of fetal subcutaneous tissue thickness. This model is based upon an overall analysis of the ultrasound estimated body components.
Authors:
Giovanni Larciprete; Herbert Valensise; Giulia Barbati; Giuseppe Di Pierro; Sheba Jarvis; Therese Deaibess; Stefano Gioia; Francesco Giacomello; Elio Cirese; Domenico Arduini
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The journal of obstetrics and gynaecology research     Volume:  33     ISSN:  1341-8076     ISO Abbreviation:  J. Obstet. Gynaecol. Res.     Publication Date:  2007 Oct 
Date Detail:
Created Date:  2007-09-11     Completed Date:  2007-12-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9612761     Medline TA:  J Obstet Gynaecol Res     Country:  Japan    
Other Details:
Languages:  eng     Pagination:  635-40     Citation Subset:  IM    
Affiliation:
Department of Perinatal Medicine, Tor Vergata University, and AFaR (Associazione Fatebenefratelli per la Ricerca), Fatebenefratelli Isola Tiberina Hospital, Rome, Italy. giovanni@giovannilarciprete.it
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MeSH Terms
Descriptor/Qualifier:
Abdominal Fat / embryology*,  ultrasonography*
Adult
Birth Weight / physiology*
Female
Humans
Infant, Newborn
Predictive Value of Tests
Pregnancy
Regression Analysis
Ultrasonography, Prenatal / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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