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Adipose tissue distribution in children: automated quantification using water and fat MRI.

Artikel i vetenskaplig tidskrift
Författare Joel Kullberg
Ann-Katrine Karlsson
Eira Stokland
Pär-Arne Svensson
Jovanna Dahlgren
Publicerad i Journal of magnetic resonance imaging : JMRI
Volym 32
Nummer/häfte 1
Sidor 204-10
ISSN 1522-2586
Publiceringsår 2010
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för pediatrik
Sidor 204-10
Språk en
Länkar dx.doi.org/10.1002/jmri.22193
Ämnesord Adipose Tissue, anatomy & histology, Algorithms, Body Fat Distribution, methods, Body Water, Child, Preschool, Cohort Studies, Female, Humans, Image Processing, Computer-Assisted, methods, Intra-Abdominal Fat, anatomy & histology, Magnetic Resonance Imaging, methods, Male, Reference Values, Reproducibility of Results, Subcutaneous Fat, anatomy & histology
Ämneskategorier Medicin och Hälsovetenskap, Barn

Sammanfattning

Purpose: To develop and validate a method for rapid acquisition and automated processing of magnetic resonance (MR) images for analysis of abdominal adipose tissue distribution in children. Materials and Methods: The study included 21 (10 girls, 11 boys) healthy 5-year-old children. Rapid water and fat MR imaging (6 sec) was performed using a 2-point-Dixon technique on a 1.5T MR scanner using an 8-channel cardiac coil. An automated image processing algorithm was developed for automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT), respectively. The results from the fully automated analysis were compared to those from a semiautomated analysis, performed by three operators, from the same images. Results: The automated analysis was seen to give results with strong correlation to the reference measurements (r ≥ 0.997); however, the SAT volume was underestimated by 9.4 ± 3.8%. The accuracy of the automated segmentation of VAT and SAT (TP: true positive, FP: false positive, mean ± SD, %) was TP: 83.6 ± 8.5, FP: 12.7 ± 6.8; and TP: 89.9 ± 3.6, FP: 0.7 ± 0.3, respectively.

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