title: Composite assessment of gestational age: a comparison of institutionally derived and published regression equations.
abstract: OBJECTIVE
  This study was undertaken to evaluate (1) the applicability of previously reported regression equations for gestational age assessment to our patient population in Pittsburgh and (2) whether the addition of radius length or its substitution for one of the other fetal measurements could improve the prediction of gestational age.
  
  
  METHODS
  Five fetal parameters--biparietal diameter, head circumference, abdominal circumference, femur length, and radius length--were measured in a prospective cross-sectional study of gestational age assessment in 265 pregnant women between 13 and 43 weeks' gestation.
  
  
  RESULTS
  The regression equation derived for each fetal parameter was found to be quite similar to previously published reports. Although the coefficient of determination was only minimally affected, the variability improved with the institutionally derived regression equation.
  
  
  CONCLUSIONS
  The incorporation of several fetal measurements into a composite assessment of gestational age generally enhances the accuracy of the prediction. The addition of a second long bone to a gestational age assessment does not significantly improve results.
authors.affiliation: Department of Ultrasound, Magee-Womens Hospital, University of Pittsburgh, PA 15213.
authors.forename: L M
authors.initials: LM
authors.lastname: Hill
authors.forename: D
authors.initials: D
authors.lastname: Guzick
authors.forename: J
authors.initials: J
authors.lastname: Hixson
authors.forename: C S
authors.initials: CS
authors.lastname: Peterson
authors.forename: D M
authors.initials: DM
authors.lastname: Rivello
mesh_terms: D001699:Biometry; D003430:Cross-Sectional Studies; D005314:Embryonic and Fetal Development; D005260:Female; D005269:Femur / Q000196:embryology; D005333:Fetus / Q000033:anatomy & histology*; D005865:Gestational Age; D006257:Head / Q000196:embryology; D006771:Hospitals, Maternity; D006801:Humans; D010414:Pennsylvania; D011237:Predictive Value of Tests; D011247:Pregnancy; D011446:Prospective Studies; D011884:Radius / Q000196:embryology; D012044:Regression Analysis; D013781:Texas