Kiefer, L.S.* ; Fabian, J.* ; Lorbeer, R.* ; Machann, J. ; Storz, C.* ; Kraus, M.S.* ; Wintermeyer, E.* ; Schlett, C.L.* ; Roemer, F.* ; Rospleszcz, S.* ; Nikolaou, K.* ; Peters, A. ; Bamberg, F.*
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.
Br. J. Radiol. 3:20180019 (2018)
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.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Insulin-resistance; Adipose-tissue; Endocrine Organ; Association; Quantification; Infiltration; Spectroscopy; Health; Kora; Age
Keywords plus
Sprache
Veröffentlichungsjahr
2018
Prepublished im Jahr
HGF-Berichtsjahr
2018
ISSN (print) / ISBN
0007-1285
e-ISSN
1748-880X
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 3,
Heft: 1089,
Seiten: ,
Artikelnummer: 20180019
Supplement: ,
Reihe
Verlag
British Institute of Radiology N.S
Verlagsort
36 Portland Place, London W1n 4at, England
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
90000 - German Center for Diabetes Research
30202 - Environmental Health
Forschungsfeld(er)
Helmholtz Diabetes Center
Genetics and Epidemiology
PSP-Element(e)
G-502400-002
G-504000-010
G-504090-001
Förderungen
Copyright
Erfassungsdatum
2018-06-14