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Best single slice location to measure visceral adipose tissue on paediatric CT scans and the relations between anthropometric measurements, gender and VAT volume in children
Author(s)
Date Issued
2015-09-21
Date Available
2016-09-21T01:00:09Z
Abstract
Objective: Visceral adipose tissue (VAT) is a significant risk factor for obesity-related metabolic diseases. This study investigates (1) the best single CT slice location for predicting total abdominal VAT volume in paediatrics and (2) the relationship between waist circumference (WC), sagittal diameter (SD), gender and VAT volume. Methods: A random sample of 130 paediatric abdomen CT scans, stratified according to age and gender, was collected. Three readers measured VAT area at each intervertebral level between T12 and S1 using ImageJ analysis (National Institute of Health, Bethesda, MD) software by thresholding −190 to −30 HU and manually segmenting VAT. Single-slice VAT measurements were correlated with total VAT volume to identify the most representative slice. WC and SD were measured at L3–L4 and L4–L5 slices, respectively. Regression analysis was used to evaluate WC, SD and gender as VAT volume predictors. Results: Interviewer and intraviewer reliability were excellent (intraclass correlation coefficient = 0.99). Although VAT measured at multiple slices correlated strongly with abdominal VAT, only one slice in females at L2–L3 and two slices in males at L1–L2 and L5–S1 were strongly correlated across all age groups. Linear regression analysis showed that WC was strongly correlated with VAT volume (beta = 0.970, p < 0.001). Conclusion: Single-slice VAT measurements are highly reproducible. Measurements performed at L2–L3 in females and L1–L2 or L5–S1 in males were most representative of VAT. WC is indicative of VAT. Advances in knowledge: VAT should be measured at L2–L3 in female children and at either L1–L2 or L5–S1 in males. WC is a strong indicator of VAT in children.
Type of Material
Journal Article
Publisher
British Institute of Radiology
Journal
British Journal of Radiology
Volume
88
Issue
1054
Start Page
1
End Page
10
Copyright (Published Version)
2015 the Authors
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
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Name
Best_single_slice_BJR_2015.pdf
Size
1.14 MB
Format
Adobe PDF
Checksum (MD5)
0791c61714089c5d72f8a858e0a1f20e
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