A prospective comparison of clinical and ultrasonic methods of predicting normal and abnormal fetal growth

F E Okonofua1, S O Ayangade, R C Chan

  • 1Academic Department of Obstetrics and Gynaecology, Royal Free Hospital School of Medicine, London, UK.

Insights

Symphysial-fundal height (SFH) is a good screening tool for normal fetal growth but less sensitive than ultrasound for diagnosing small-for-gestational age (SGA) infants or macrosomia. SFH should remain a routine antenatal screening test for abnormal fetal growth.

Area of Science:

  • Obstetrics and Gynecology
  • Fetal Medicine
  • Diagnostic Imaging

Background:

  • Accurate antenatal diagnosis of fetal growth is crucial for optimizing perinatal outcomes.
  • Symphysial-fundal height (SFH) measurement and ultrasound biometry are common methods for assessing fetal growth.
  • Discrepancies between antenatal assessment and postnatal classification can impact clinical management.

Purpose of the Study:

  • To compare the diagnostic accuracy of SFH measurements and ultrasound biometry (fetal biparietal diameter and abdominal circumference) for detecting altered fetal growth.
  • To evaluate the effectiveness of these methods in identifying small-for-gestational age (SGA) and large-for-gestational age (LGA) infants.

Main Methods:

  • A prospective study involving 100 pregnant patients.
  • Simultaneous use of SFH charts and ultrasound biometry for antenatal growth assessment.
  • Postnatal classification of infants as SGA, appropriate for gestational age (AGA), or LGA based on birthweight.

Main Results:

  • SFH measurement demonstrated comparable accuracy to ultrasound in predicting normal fetal growth.
  • Ultrasound was more sensitive than SFH in diagnosing SGA infants.
  • SFH was least sensitive for detecting macrosomia (LGA).

Conclusions:

  • SFH measurement is a valuable and cost-effective screening tool for abnormal fetal growth and should be maintained in routine antenatal care.
  • Ultrasound biometry offers superior sensitivity for detecting SGA and macrosomia, complementing SFH screening.