Related Experiment Video
Updated: May 3, 2026

Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction
Published on: June 29, 2013
Should we use customized fetal growth percentiles in urban Canada?
Nir Melamed1, Joel G Ray2, Prakesh S Shah3
1Maternal-Fetal Medicine Division (Placenta Clinic), Department of Obstetrics and Gynaecology, Mount Sinai Hospital, University of Toronto, Toronto ON.
Insights
Distinguishing small for gestational age (SGA) fetuses from those with intrauterine growth restriction (IUGR) is crucial. Customized growth percentiles improve accuracy, especially in diverse populations, reducing misdiagnosis and enhancing detection of true growth issues.
Area of Science:
- Maternal-Fetal Medicine
- Prenatal Diagnostics
- Fetal Growth Assessment
Background:
- Accurate antenatal diagnosis of fetal growth is essential for optimal pregnancy outcomes.
- Distinguishing between constitutionally small fetuses and those with pathological intrauterine growth restriction (IUGR) presents a significant clinical challenge.
- Current methods may lead to misclassification, impacting management strategies.
Purpose of the Study:
- To evaluate the utility of customized fetal growth percentiles in differentiating true IUGR from constitutional small for gestational age (SGA) fetuses.
- To assess the impact of implementing ethnicity-specific birth weight curves on SGA and large for gestational age (LGA) classifications in multi-ethnic urban settings.
- To determine the potential benefits of customized percentiles for minority populations.
Main Methods:
- Review of evidence supporting the use of customized growth percentiles in fetal assessment.
- Analysis of projected changes in SGA and LGA rates using customized versus standard charts.
- Modeling the effects on diagnostic accuracy in diverse populations, using Toronto as a case study.
Main Results:
- Customized growth percentiles offer a more accurate method for distinguishing pathological IUGR from constitutional SGA.
- Adoption of ethnicity-specific curves is projected to significantly decrease false-positive SGA diagnoses among visible minorities.
- These adjustments are also expected to improve the detection rates of true LGA fetuses in these populations.
Conclusions:
- Customized fetal growth percentiles are a valuable tool for improving the accuracy of fetal growth assessment.
- Implementing ethnicity-specific standards can reduce diagnostic disparities in multi-ethnic populations.
- This approach enhances the detection of both growth restriction and macrosomia, leading to more appropriate antenatal care.
Abstract:
An increasingly common challenge in antenatal care of the small for gestational age (SGA) fetus is the distinction between the constitutionally (physiologically) small fetus and the fetus affected by pathological intrauterine growth restriction (IUGR). We discuss here the rationale and the evidence for the use of customized growth percentiles for the purpose of distinguishing between the fetus with true IUGR and the fetus with constitutional SGA. We also provide estimates of the potential effects of adopting ethnicity-specific birth weight curves on the rates of SGA and large for gestational age status in multi-ethnic metropolitan cities in North America and Europe, such as the City of Toronto. Using customized growth percentiles would result in a considerable decline in the rate of a false-positive diagnosis of SGA among visible minorities, and improve the detection rate of true large for gestational age fetuses among these groups.
Related Concept Videos
Percentage Frequency Distribution
The process of making a percentage frequency distribution involves the following few steps: note the total number of observations;...
Regression Toward the Mean
Percentile
z Scores and Area Under the Curve
Applications of Normal Distribution
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

