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Fetal head circumference: relation to menstrual age

Hadlock, FP, Deter, RL, Harrist, RB, Park, SK·1982·American Journal of Roentgenology

Abstract

The relation between fetal head circumference and menstrual age was determined by cross-sectional analysis of 400 fetuses (15-41 weeks) examined with a linear array real-time (dynamic image) scanner using specifically defined methodology. Mathematical modeling of the data demonstrated that the head circumference growth curve is nonlinear, similar to the biparietal diameter growth curve. Both the linear quadratic (r2 = 98.3%) and linear cubic (r2 = 98.3%) functions could be considered the optimal model. Predicted head circumference values for the linear cubic function were comparable to established normal values on the basis of postnatal measurements at 25-40 weeks (mean difference, -0.94 mm; SD, 0.47 mm). Predicted menstrual age values (+/- 2 SD) associated with a given head circumference measurement were calculated and are presented in tabular form. The use of the head circumference measurement in predicting menstrual age, estimating fetal weight, and in detecting intrauterine growth retardation is discussed.

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Metadata

Authors
Hadlock, F., Deter, R., Harrist, R., & Park, S.
Venue
American Journal of Roentgenology
Published
1982-04-01
Volume
138
Issue
4
Pages
649-653
ISSN
  • 0002-9580 (ISSN-L)
  • 0361-803X
  • 1546-3141
OpenAlex
W2167739411
Cited by
196
References
0
FWCI
8.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fetal head circumference: relation to menstrual age. https://app.cochat.ai/papers/10.2214/ajr.138.4.649
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Hadlock, F., Deter, R., Harrist, R., & Park, S. (1982). Fetal head circumference: relation to menstrual age. American Journal of Roentgenology. https://doi.org/10.2214/ajr.138.4.649

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.