Inter- and intra-observer variability of an anatomical landmark-based, manual segmentation method by MRI for the assessment of skeletal muscle fat content and area in subjects from the general population

Kiefer, Lena Sophie; Fabian, Jana; Lorbeer, Roberto; Machann, Jürgen; Storz, Corinna; Kraus, Mareen Sarah; Wintermeyer, Elke; Schlett, Christopher; Roemer, Frank; Nikolaou, Konstantin; Peters, Annette und Bamberg, Fabian (2018): Inter- and intra-observer variability of an anatomical landmark-based, manual segmentation method by MRI for the assessment of skeletal muscle fat content and area in subjects from the general population. In: British Journal of Radiology, Bd. 91, Nr. 1089, 20180019

Abstract

Objectives: Changes in skeletal muscle composition, such as fat content and mass, may exert unique metabolic and musculoskeletal risks;however, the reproducibility of their assessment is unknown. We determined the variability of the assessment of skeletal muscle fat content and area by MRI in a population-based sample. Methods: A random sample from a prospective, community-based cohort study (KORA-FF4) was included. Skeletal muscle fat content was quantified as proton-density fat fraction (PDFF) and area as cross-sectional area (CSA) in multi-echo Dixon sequences (TR 8,90 ms, six echo times, flip angle 4 degrees) by a standardized, anatomical landmark-based, manual skeletal muscle segmentation at level L3 vertebra by two independent observers. Reproducibility was assessed by intraclass correlation coefficients (ICC), scatter and Bland-Altman plots. Results: From 50 subjects included (mean age 56.1 +/- 8.8 years, 60.0% males, mean body mass index 28.3 +/- 5.2) 2'400 measurements were obtained. Interobserver agreement was excellent for all muscle compartments (PDFF: ICC0.99, CSA: ICC0.98) with only minor absolute and relative differences (-0.2 +/- 0.5%, 31 +/- 44.7 mm(2);-2.6 +/- 6.4% and 2.7 +/- 3.9%, respectively). lntra-observer reproducibility was similarly excellent (PDFF: ICC1.0, 0.0 +/- 0.4%, 0.4%;CSA: ICC1,0, 5.5 +/- 25.3 mm(2), 0.5%, absolute and relative differences, respectively). All agreement was independent of age, gender, body mass index, body height and visceral adipose tissue (ICC0.96-1.0). Furthermore, PDFF reproducibility was independent of CSA (ICC0.93-0.99). Conclusions: Quantification of skeletal muscle fat content and area by MRI using an anatomical landmark-based, manual skeletal muscle segmentation is highly reproducible. Advances in knowledge: An anatomical landmark-based, manual skeletal muscle segmentation provides high reproducibility of skeletal muscle fat content and area and may therefore serve as a robust proxy for myosteatosis and sarcopenia in large cohort studies.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0007-1285
• Sprache: Englisch