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

被引：25

作者：

Kiefer, Lena Sophie ^{[1
]}

Fabian, Jana ^{[1
]}

Lorbeer, Roberto ^{[2
]}

Machann, Juergen ^{[3
,4
,5
]}

Storz, Corinna ^{[1
]}

Kraus, Mareen Sarah ^{[1
]}

Wintermeyer, Elke ^{[6
]}

Schlett, Christopher ^{[7
]}

Roemer, Frank ^{[8
]}

Nikolaou, Konstantin

Peters, Annette ^{[9
,10
,11
]}

Bamberg, Fabian ^{[1
,9
]}

机构：

[1] Univ Tubingen, Dept Diagnost & Intervent Radiol, Tubingen, Germany

[2] Ludwig Maximilian Univ Hosp, Dept Radiol, Munich, Germany

[3] Univ Tubingen, Sect Expt Radiol, Dept Diagnost & Intervent Radiol, Tubingen, Germany

[4] Univ Tubingen, Helmholtz Ctr Munich, Inst Diabet Res & Metab Dis IDM, Tubingen, Germany

[5] German Ctr Diabet Res DZD, Neuherberg, Germany

[6] Univ Tubingen, BG Trauma Ctr, Tubingen, Germany

[7] Heidelberg Univ, Dept Radiol Diagnost & Intervent Radiol, Heidelberg, Germany

[8] Univ Erlangen Nurnberg, Dept Radiol, Erlangen, Germany

[9] German Ctr Cardiovasc Dis Res DZHK eV, Munich, Germany

[10] Ludwig Maximilian Univ Hosp, Inst Cardiovasc Prevent, Munich, Germany

[11] German Res Ctr Environm Hlth, Helmholtz Zentrum Munich, Inst Epidemiol 2, Neuherberg, Germany

来源：

BRITISH JOURNAL OF RADIOLOGY | 2018年 / 91卷 / 1089期

关键词：

ADIPOSE-TISSUE; INSULIN-RESISTANCE; ASSOCIATION; QUANTIFICATION; HEALTH; KORA; INFILTRATION; COMPARTMENTS; DISABILITY; SARCOPENIA;

D O I：

10.1259/bjr.20180019

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页数：9