Key result
An automated image processing algorithm for segmenting abdominal adipose tissue in children showed strong correlation with semiautomated reference measurements (r >= 0.997).
Why the study?
Does an automated image processing algorithm accurately quantify abdominal adipose tissue distribution in children compared to semiautomated analysis?
Population
21 healthy 5-year-old children (10 girls, 11 boys)
Comparison
Automated image processing algorithm for… vs Semiautomated analysis performed by three…
Design
Other
Authors
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Supports automated pediatric adipose segmentation on MRI; leaves open larger validation before clinical adoption.
Cross-Sectional (n=21)
Does an automated image processing algorithm accurately quantify abdominal adipose tissue distribution in children compared to semiautomated analysis?
Effect estimate: r >= 0.997
An automated image processing algorithm provides robust and time-efficient measurement of abdominal adipose tissue distribution in young children using rapid MRI.
Kullberg et al. (2010) conducted a cross-sectional in Healthy (n=21). Automated image processing algorithm vs. Semiautomated analysis was evaluated on Correlation of automated analysis with reference measurements (r >= 0.997). An automated image processing algorithm for segmenting abdominal adipose tissue in children showed strong correlation with semiautomated reference measurements (r >= 0.997).
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