{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T19:16:46Z","timestamp":1791227806248,"version":"4.1.0"},"reference-count":25,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T00:00:00Z","timestamp":1643068800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2022,4]]},"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Skeletal muscle mass is subjected to constant changes and is considered a good predictor for outcome in various diseases. Bioelectrical\u2010impedance analysis (BIA) and magnetic resonance imaging (MRI) are approved methodologies for its assessment. However, muscle mass estimations by BIA may be influenced by excess intramuscular lipids and adipose tissue in obesity. The objective of this study was to evaluate the feasibility of quantitative assessment of skeletal muscle mass by MRI as compared with BIA.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n Subjects from a population\u2010based cohort underwent BIA (50\u00a0kHz, 0.8\u00a0mA) and whole\u2010body MRI including chemical\u2010shift encoded MRI (six echo times). Abdominal muscle mass by MRI was quantified as total and fat\u2010free cross\u2010sectional area by a standardized manual segmentation\u2010algorithm and normalized to subjects' body height\n 2<\/jats:sup>\n (abdominal muscle mass indices: AMMI\n MRI<\/jats:sub>\n ).\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Among 335 included subjects (56.3\u00a0\u00b1\u00a09.1\u00a0years, 56.1% male), 95 (28.4%) were obese (BMI\u00a0\u2265\u00a030\u00a0kg\/m\n 2<\/jats:sup>\n ). MRI\u2010based and BIA\u2010based measures of muscle mass were strongly correlated, particularly in non\u2010obese subjects [\n r<\/jats:italic>\n \u00a0<\u00a00.74 in non\u2010obese (\n P<\/jats:italic>\n \u00a0<\u00a00.001) vs.\n r<\/jats:italic>\n \u00a0<\u00a00.56 in obese (\n P<\/jats:italic>\n \u00a0<\u00a00.001)]. Median AMMI\n Total(MRI)<\/jats:sub>\n was significantly higher in obese as compared with non\u2010obese subjects (3246.7\u00a0\u00b1\u00a0606.1\u00a0mm\n 2<\/jats:sup>\n \/m\n 2<\/jats:sup>\n vs. 2839.0\u00a0\u00b1\u00a0535.8\u00a0mm\n 2<\/jats:sup>\n \/m\n 2<\/jats:sup>\n ,\n P<\/jats:italic>\n \u00a0<\u00a00.001, respectively), whereas the ratio AMMI\n Fat\u2010free<\/jats:sub>\n \/AMMI\n Total<\/jats:sub>\n (by MRI) was significantly higher in non\u2010obese individuals (59.3\u00a0\u00b1\u00a010.1% vs. 53.5\u00a0\u00b1\u00a010.6%,\n P<\/jats:italic>\n \u00a0<\u00a00.001, respectively). No significant difference was found regarding AMMI\n Fat\u2010free(MRI)<\/jats:sub>\n (\n P<\/jats:italic>\n \u00a0=\u00a00.424). In analyses adjusted for age and sex, impaired glucose tolerance and measures of obesity were significantly and positively associated with AMMI\n Total(MRI)<\/jats:sub>\n and significantly and inversely with the ratio AMMI\n Fat\u2010free(MRI)<\/jats:sub>\n \/AMMI\n Total(MRI)<\/jats:sub>\n (\n P<\/jats:italic>\n \u00a0<\u00a00.001).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n MRI\u2010based assessment of muscle mass is feasible in population\u2010based imaging and strongly correlated with BIA. However, the observed weaker correlation in obese subjects may explain the known limitation of BIA in obesity and promote MRI\u2010based assessments. Thus, skeletal muscle mass parameters by MRI may serve as practical imaging biomarkers independent of subjects' body weight.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jcsm.12913","type":"journal-article","created":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T01:35:20Z","timestamp":1643160920000},"page":"976-986","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Population\u2010based cohort imaging: skeletal muscle mass by magnetic resonance imaging in correlation to bioelectrical\u2010impedance analysis"],"prefix":"10.1002","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3999-559X","authenticated-orcid":false,"given":"Lena S.","family":"Kiefer","sequence":"first","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology University of Tuebingen Tuebingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jana","family":"Fabian","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology University of Tuebingen Tuebingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanne","family":"Rospleszcz","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Ludwig\u2010Maximilians\u2010University M\u00fcnchen Munich Germany"},{"name":"Institute of Epidemiology, Helmholtz Zentrum M\u00fcnchen German Research Center for Environmental Health Neuherberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto","family":"Lorbeer","sequence":"additional","affiliation":[{"name":"Department of Radiology Ludwig\u2010Maximilians\u2010University Hospital Munich Germany"},{"name":"German Centre for Cardiovascular Research (DZHK e.V.) Munich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00fcrgen","family":"Machann","sequence":"additional","affiliation":[{"name":"Section of Experimental Radiology, Department of Diagnostic and Interventional Radiology University of Tuebingen Tuebingen Germany"},{"name":"Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich University of Tuebingen Tuebingen Germany"},{"name":"German Center for Diabetes Research (DZD) Neuherberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mareen S.","family":"Kraus","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology University of Tuebingen Tuebingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Fischer","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology University of Tuebingen Tuebingen Germany"},{"name":"Section of Experimental Radiology, Department of Diagnostic and Interventional Radiology University of Tuebingen Tuebingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank","family":"Roemer","sequence":"additional","affiliation":[{"name":"Department of Radiology University of Erlangen\u2013Nuremberg Erlangen Germany"},{"name":"Department of Radiology Boston University School of Medicine Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wolfgang","family":"Rathmann","sequence":"additional","affiliation":[{"name":"German Center for Diabetes Research (DZD) Neuherberg Germany"},{"name":"Institute for Biometrics and Epidemiology German Diabetes Center Duesseldorf Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christa","family":"Meisinger","sequence":"additional","affiliation":[{"name":"Chair of Epidemiology Ludwig\u2010Maximilians\u2010University M\u00fcnchen, UNIKA\u2010T Augsburg Augsburg Germany"},{"name":"Independent Research Group Clinical Epidemiology, Helmholtz Zentrum M\u00fcnchen German Research Center for Environmental Health Neuherberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margit","family":"Heier","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology, Helmholtz Zentrum M\u00fcnchen German Research Center for Environmental Health Neuherberg Germany"},{"name":"KORA Study Centre University Hospital Augsburg Augsburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konstantin","family":"Nikolaou","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology University of Tuebingen Tuebingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Annette","family":"Peters","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Ludwig\u2010Maximilians\u2010University M\u00fcnchen Munich Germany"},{"name":"Institute of Epidemiology, Helmholtz Zentrum M\u00fcnchen German Research Center for Environmental Health Neuherberg Germany"},{"name":"German Centre for Cardiovascular Research (DZHK e.V.) Munich Germany"},{"name":"German Center for Diabetes Research (DZD) Neuherberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Corinna","family":"Storz","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, University Medical Center Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher L.","family":"Schlett","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabian","family":"Bamberg","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,1,25]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/jso.24025"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40520-014-0281-4"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/ageing\/afq034"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-009-1059-y"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/glu034"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.12268"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00223-013-9757-z"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.2337\/db16-0630"},{"key":"e_1_2_6_10_1","unstructured":"World Health Organization.Obesity: preventing and managing the global epidemic. WHO Tech. Rep. Ser. (2000)."},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1152\/jappl.2000.89.2.465"},{"key":"e_1_2_6_12_1","first-page":"1","article-title":"Inter\u2010 and intraobserver variability of an anatomical landmark\u2010based, manual segmentation method by MRI for the assessment of skeletal muscle fat content and area in subjects from the general population","volume":"91","author":"Kiefer LS","year":"2018","journal-title":"Br J Radiol"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/codi.12805"},{"key":"e_1_2_6_14_1","first-page":"742","article-title":"Age\u2010 and level\u2010dependence of fatty infiltration in lumbar paravertebral muscles of healthy volunteers","volume":"37","author":"Crawford RJ","year":"2016","journal-title":"Spine (Phila. 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