Fetal Biometric Parameters in USG for Early Detection of Fetal Growth Restriction

Himanshy Rai1, Shambhavi Soni1, Amaresh K Shukla2

  • 1Department of Obstetrics and Gynaecology, Government Medical College, Datia, Madhya Pradesh, India.

Insights

Biometric and Doppler ultrasound parameters are crucial for diagnosing fetal growth restriction and predicting pregnancy outcomes. These tools aid in identifying high-risk pregnancies for timely intervention, improving maternal and fetal health.

Area of Science:

  • Maternal-Fetal Medicine
  • Diagnostic Ultrasound
  • Obstetrics

Background:

  • Intrauterine growth restriction (IUGR) is a significant pregnancy complication associated with adverse perinatal outcomes.
  • Biometric measurements and Doppler velocimetry are established diagnostic and prognostic tools for IUGR.

Purpose of the Study:

  • To assess the predictive value of biometric and Doppler parameters for fetal growth restriction.
  • To evaluate the association of these parameters with pregnancy and delivery outcomes.

Main Methods:

  • Ultrasound biometry including abdominal circumference (AC), head circumference (HC), and femur length (FL) was performed.
  • Doppler velocimetry of uterine and umbilical arteries was utilized.
  • Pregnancy outcomes were monitored, and associations with biometric and Doppler findings were analyzed.

Main Results:

  • Abnormal femur length/abdominal circumference (FL/AC) ratios were observed in 52% of patients, and abnormal head circumference/abdominal circumference (HC/AC) ratios in 44%.
  • Most uterine artery resistance index (RI) and umbilical artery RI measurements were within normal limits (85.7%, 82.1%, and 85.3% respectively).
  • Significant correlations were found between uterine artery RI, systolic/diastolic ratio (SD), and adverse pregnancy outcomes (P < 0.05).

Conclusions:

  • Biometric parameters and Doppler velocimetry, specifically uterine and umbilical artery RIs and SDs, are vital for IUGR diagnosis and outcome prediction.
  • These ultrasound techniques are instrumental in identifying at-risk pregnancies, facilitating timely management for improved maternal and fetal well-being.
Abstract