Related Experiment Video
Updated: Jun 5, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Assessment of sonographer nuchal translucency measurement performance--central tendency and dispersion
Daljit Singh Sahota1, Min Chen, Tak Yeung Leung
1Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.
Objective:
To assess center and sonographer nuchal translucency (NT) measurements that were performed as part of routine prenatal screening for Down syndrome.
Methods:
Sonographers were assessed for measures of central tendency and dispersion by comparing them with expected population median and dispersion parameters. NT measurements were converted to multiples of the expected NT values according to CRL (NTMoM) and transformed to their log(10) equivalent (log(10) NTMoM). Central tendency and measurement were assessed by checking whether the median of the NTMoM distribution and SD of the log(10) NTMoM distributions were, respectively, within 5% or 10% of the expected median of 1 and SD of 0.1. Assessment was performed using both the Center specific and Fetal Medicine Foundation (FMF) reference NT for Crown rump length (CRL).
Results:
The median NT MoM was 0.95 MoM using the FMF reference and 1.01 MoM when assessed using our center specific reference median. The difference between the center and FMF derived NT MoMs was statistically significantly (p < 0.0001). NTMoM medians increased over time at a rate of 0.0099 MoM per year while log(10) NT MoM measurement dispersement was similar to the 0.1 value expected and decreased by 0.0048 per year.
Conclusion:
Centers should routinely monitor the quality of NT measurements used to estimate Down syndrome screening risk and should provide individualized feedback to sonographers of their measures of central tendency and dispersion to ensure consistent and improved performance. NT reference medians adopted from other populations should be assessed and validated against a centers own measurement distribution.
More Related Videos
Related Concept Videos
Central Tendency: Analysis
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
What is Central Tendency?
The central tendency is the most conventionally used data characteristic. It is a...
Measures of Central Tendency
Review and Preview
Percentiles are a type of fractile that partition data into...
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Midrange
Simply put, the midrange is half of the data set’s range. Similar to the mean, the midrange is sensitive to the extreme values and hence the prospective outliers. However, unlike the mean, the midrange is not sensitive to all the values of the data set that lie in the middle. Thus, it is prone to outliers and...

