Published December 2018 | Version v1
Journal article

Intra- and interobserver variability in skeletal muscle measurements using computed tomography images

  • 1. Department of Radiology, Newcastle Upon Tyne Hospitals NHS Foundation Trust (United Kingdom)
  • 2. Department of Nuclear Medicine, Newcastle Upon Tyne Hospitals NHS Foundation Trust (United Kingdom)
  • 3. Northern Oesophagogastric Cancer Unit, Newcastle Upon Tyne Hospitals NHS Foundation Trust (United Kingdom)
  • 4. Department of Anaesthesia, Newcastle Upon Tyne Hospitals NHS Foundation Trust (United Kingdom)
  • 5. Newcastle University, Newcastle Upon Tyne (United Kingdom)

Description

Highlights: • Research studies increasingly include body composition measurements. • The reproducibility of a common approach was investigated. • Intra- and interobserver agreement was generally good. • Specific measures to minimise variability are described. - Abstract: PurposeThe progressive loss of skeletal muscle and function (known as sarcopenia) has been shown to be associated with various adverse outcome measures. Sophisticated measurements of body composition are increasingly being incorporated into research studies to stratify patients into those with or without sarcopenia, monitor treatment effects, and predict complications. A typical approach is to select axial image(s) at the mid-lumbar level and use semi-automated software to identify and quantify the skeletal muscle area. This area is then used to estimate whole-body parameters. This approach is somewhat subjective, and in this study we investigate its reproducibility, both within and between observers.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ejrad.2018.10.031

Additional details

Identifiers

DOI
10.1016/j.ejrad.2018.10.031;
PII
S0720048X18303905;

Publishing Information

Journal Title
European Journal of Radiology
Journal Volume
109
Journal Page Range
p. 142-146
ISSN
0720-048X
CODEN
EJRADR

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51002689
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
BODY COMPOSITION; COMPUTER CODES; COMPUTERIZED TOMOGRAPHY; IMAGES; MUSCLES; PATIENTS; SKELETON
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; ORGANS; TOMOGRAPHY

Optional Information

Notes
© 2018 Elsevier B.V. All rights reserved.