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Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine 2/2016

24.12.2015 | Research Article

The reliability of a segmentation methodology for assessing intramuscular adipose tissue and other soft-tissue compartments of lower leg MRI images

verfasst von: Sarah Karampatos, Alexandra Papaioannou, Karen A. Beattie, Monica R. Maly, Adrian Chan, Jonathan D. Adachi, Janet M. Pritchard

Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine | Ausgabe 2/2016

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Abstract

Objective

Determine the reliability of a magnetic resonance (MR) image segmentation protocol for quantifying intramuscular adipose tissue (IntraMAT), subcutaneous adipose tissue, total muscle and intermuscular adipose tissue (InterMAT) of the lower leg.

Materials and methods

Ten axial lower leg MRI slices were obtained from 21 postmenopausal women using a 1 Tesla peripheral MRI system. Images were analyzed using sliceOmatic™ software. The average cross-sectional areas of the tissues were computed for the ten slices. Intra-rater and inter-rater reliability were determined and expressed as the standard error of measurement (SEM) (absolute reliability) and intraclass coefficient (ICC) (relative reliability).

Results

Intra-rater and inter-rater reliability for IntraMAT were 0.991 (95 % confidence interval [CI] 0.978–0.996, p < 0.05) and 0.983 (95 % CI 0.958–9.993, p < 0.05), respectively. For the other soft tissue compartments, the ICCs were all >0.90 (p < 0.05). The absolute intra-rater and inter-rater reliability (expressed as SEM) for segmenting IntraMAT were 22.19 mm2 (95 % CI 16.97–32.04) and 78.89 mm2 (95 % CI 60.36–113.92), respectively.

Conclusion

This is a reliable segmentation protocol for quantifying IntraMAT and other soft-tissue compartments of the lower leg. A standard operating procedure manual is provided to assist users, and SEM values can be used to estimate sample size and determine confidence in repeated measurements in future research.
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Metadaten
Titel
The reliability of a segmentation methodology for assessing intramuscular adipose tissue and other soft-tissue compartments of lower leg MRI images
verfasst von
Sarah Karampatos
Alexandra Papaioannou
Karen A. Beattie
Monica R. Maly
Adrian Chan
Jonathan D. Adachi
Janet M. Pritchard
Publikationsdatum
24.12.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Magnetic Resonance Materials in Physics, Biology and Medicine / Ausgabe 2/2016
Print ISSN: 0968-5243
Elektronische ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-015-0510-7

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