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Related Concept Videos

z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of zero.

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Updated: Jun 30, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
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Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

[Developing parameters for predicting macrosomia].

Jia-zhi Liang1, Bing Xiao, Hui Li

  • 1Obstetrical Department, Sichuan Provincial Hospital for Women & Children, Chengdu 610031, China.

Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition
|September 19, 2008
PubMed
Summary
This summary is machine-generated.

Fundal height (FH) and fetal biparietal diameter (BPD), with or without femur length (FL), are effective clinical predictors for identifying fetal macrosomia. These measurements offer valuable insights for accurate diagnosis and management.

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Assessment of Child Anthropometry in a Large Epidemiologic Study
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Assessment of Child Anthropometry in a Large Epidemiologic Study

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Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Area of Science:

  • Obstetrics and Gynecology
  • Fetal Medicine
  • Diagnostic Imaging

Background:

  • Accurate prediction of fetal macrosomia is crucial for optimizing obstetric management and preventing adverse neonatal outcomes.
  • Existing fetal growth parameters require evaluation for their efficacy in clinical settings.

Purpose of the Study:

  • To determine the most effective fetal growth parameters for predicting macrosomia in clinical practice.
  • To compare the diagnostic accuracy of various maternal and fetal measurements.

Main Methods:

  • A retrospective analysis of clinical data from 216 neonates (108 macrosomic, 108 normal birth weight) delivered in 2007.
  • Comparison of maternal abdominal circumference (MAC), fundal height (FH), and ultrasound-derived fetal measurements including biparietal diameter (BPD), head circumference (HC), femur length (FL), and abdominal circumference (AC).

Main Results:

  • Maternal fundal height (FH), fetal biparietal diameter (BPD), and the combination of BPD plus femur length (FL) demonstrated significant predictive value for macrosomia (ROC curve area > 0.64, P < 0.05).
  • These parameters yielded high diagnostic indices, indicating their sensitivity in identifying macrosomic infants.
  • Other assessed parameters showed limited predictive capability (ROC area < 0.63) and lacked statistical significance.

Conclusions:

  • Maternal fundal height (FH), fetal biparietal diameter (BPD), and the combined BPD plus femur length (FL) are sensitive and reliable parameters for predicting fetal macrosomia.
  • These measurements can be effectively integrated into routine clinical practice for early identification and management of macrosomia.