{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T19:58:35Z","timestamp":1787169515133,"version":"build-2736575974"},"reference-count":31,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Physiol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Computed tomography (CT) imaging is a useful tool for assessing skeletal muscle mass and quality. The present study aimed to determine age- and sex-specific reference values for CT-based skeletal muscle markers in a healthy population, and to correlate them with serum creatinine and 24-h urinary creatinine excretion (24h-UCE).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Skeletal muscle index (SMI) - a marker of muscle mass\/quantity - and skeletal muscle radiation attenuation (SMRA) and intermuscular adipose tissue index (IMATI) - markers of muscle quality\/myosteatosis - were determined using a deep-learning-based method from axial CT images at the level of the 3\n                      <jats:sup>rd<\/jats:sup>\n                      lumbar vertebra in living kidney donors assessed between 01\/2005 and 05\/2023. Age- and sex-specific reference values were determined by the 5\n                      <jats:sup>th<\/jats:sup>\n                      percentile, and correlation was tested with the Pearson correlation coefficient.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      CT scans of 394 healthy individuals were included. The mean age was 53 years (SD 12), mean BMI was 25.2 kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      (SD 3.9), and 130 patients (33%) were male. The reference values for low skeletal muscle mass (SMI) in males were 43.7 cm\n                      <jats:sup>2<\/jats:sup>\n                      \/m\n                      <jats:sup>2<\/jats:sup>\n                      (20\u201339 years), 44.9 cm\n                      <jats:sup>2<\/jats:sup>\n                      \/m\n                      <jats:sup>2<\/jats:sup>\n                      (40\u201359 years), and 39.7 cm\n                      <jats:sup>2<\/jats:sup>\n                      \/m\n                      <jats:sup>2<\/jats:sup>\n                      (\u226560 years). In females, the corresponding values were 33.8 cm\n                      <jats:sup>2<\/jats:sup>\n                      \/m\n                      <jats:sup>2<\/jats:sup>\n                      (20\u201339 years), 34.8 cm\n                      <jats:sup>2<\/jats:sup>\n                      \/m\n                      <jats:sup>2<\/jats:sup>\n                      (40\u201359 years), and 31.2 cm\n                      <jats:sup>2<\/jats:sup>\n                      \/m\n                      <jats:sup>2<\/jats:sup>\n                      (\u226560 years). SMI showed a moderate correlation with serum creatinine (r = 0.452, p &amp;lt; 0.001) but a weak correlation with 24h-UCE (r = 0.188, p = 0.003). Correlations were all weak for SMRA (creatinine: r = 0.220, p &amp;lt; 0.001; 24h-UCE: r = 0.177, p = 0.006) and IMATI (creatinine: r = \u22120.101, p = 0.054; 24h-UCE, r = \u22120.108, p = 0.093).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The age- and sex-specific reference values reported here could be used in clinical practice and future studies to identify patients at risk of muscle decline.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fphys.2025.1566463","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T01:22:48Z","timestamp":1745544168000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Age- and sex-specific reference values for CT-based low skeletal muscle quantity and quality in healthy living kidney donors"],"prefix":"10.3389","volume":"16","author":[{"given":"David","family":"Martin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paola","family":"Dolce","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"H\u00fcbner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Zingg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Fuks","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Pierre","family":"Venetz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Damien","family":"Maier","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maurice","family":"Matter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabio","family":"Becce","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1136\/bjsm.37.5.436","article-title":"Sex differences in whole body skeletal muscle mass measured by magnetic resonance imaging and its distribution in young Japanese adults","volume":"37","author":"Abe","year":"2003","journal-title":"Br. J. Sports Med."},{"key":"B2","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1093\/gerona\/gls168","article-title":"Variations of CT-based trunk muscle attenuation by age, sex, and specific muscle","volume":"68","author":"Anderson","year":"2013","journal-title":"J. Gerontol. A Biol. Sci. Med. Sci."},{"key":"B3","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1111\/apha.12224","article-title":"Measurement of skeletal muscle radiation attenuation and basis of its biological variation","volume":"210","author":"Aubrey","year":"2014","journal-title":"Acta Physiol. (Oxf)"},{"key":"B4","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s40520-013-0132-8","article-title":"Prevalence of sarcopenia among healthy ambulatory subjects: the sarcopenia begins from 45 years","volume":"26","author":"Cherin","year":"2014","journal-title":"Aging Clin. Exp. Res."},{"key":"B5","doi-asserted-by":"publisher","first-page":"214","DOI":"10.6002\/ect.2023.0050","article-title":"Computed tomography-assessed sarcopenia predicts mortality in kidney transplant candidates","volume":"22","author":"Coban","year":"2024","journal-title":"Exp. Clin. Transpl."},{"key":"B6","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1093\/ageing\/afz046","article-title":"Sarcopenia: revised European consensus on definition and diagnosis","volume":"48","author":"Cruz-Jentoft","year":"2019","journal-title":"Age Ageing"},{"key":"B7","doi-asserted-by":"publisher","first-page":"1579","DOI":"10.3945\/ajcn.2009.28047","article-title":"Longitudinal study of muscle strength, quality, and adipose tissue infiltration","volume":"90","author":"Delmonico","year":"2009","journal-title":"Am. J. Clin. Nutr."},{"key":"B8","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/0002-9343(62)90183-3","article-title":"A clinical appraisal of the plasma concentration and endogenous clearance of creatinine","volume":"32","author":"Doolan","year":"1962","journal-title":"Am. J. Med."},{"key":"B9","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1186\/s12882-018-1126-8","article-title":"Glomerular filtration rate: new age- and gender-specific reference ranges and thresholds for living kidney donation","volume":"19","author":"Fenton","year":"2018","journal-title":"BMC Nephrol."},{"key":"B10","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1152\/jappl.2000.89.1.104","article-title":"Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content","volume":"89","author":"Goodpaster","year":"2000","journal-title":"J. Appl. Physiol."},{"key":"B11","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1093\/gerona\/61.10.1059","article-title":"The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study","volume":"61","author":"Goodpaster","year":"2006","journal-title":"J. Gerontol. A Biol. Sci. Med. Sci."},{"key":"B12","doi-asserted-by":"publisher","first-page":"1082","DOI":"10.1002\/ncp.11009","article-title":"Estimation of 24-hour urinary creatinine excretion from patient variables: a novel approach to identify patients with low muscle mass and malnutrition and relationship to outcomes","volume":"38","author":"Hiller","year":"2023","journal-title":"Nutr. Clin. Pract."},{"key":"B13","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.neunet.2019.08.025","article-title":"MultiResUNet: rethinking the U-Net architecture for multimodal biomedical image segmentation","volume":"121","author":"Ibtehaz","year":"2020","journal-title":"Neural Netw."},{"key":"B14","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1046\/j.1532-5415.2002.50216.x","article-title":"Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability","volume":"50","author":"Janssen","year":"2002","journal-title":"J. Am. Geriatr. Soc."},{"key":"B15","doi-asserted-by":"publisher","first-page":"1161","DOI":"10.3803\/EnM.2021.1348","article-title":"Quality matters as much as quantity of skeletal muscle: clinical implications of myosteatosis in cardiometabolic health","volume":"36","author":"Kim","year":"2021","journal-title":"Endocrinol. Metab. Seoul."},{"key":"B16","doi-asserted-by":"publisher","first-page":"4022","DOI":"10.1016\/j.clnu.2021.04.017","article-title":"Age-related changes in muscle quality and development of diagnostic cutoff points for myosteatosis in lumbar skeletal muscles measured by CT scan","volume":"40","author":"Kim","year":"2021","journal-title":"Clin. Nutr."},{"key":"B17","doi-asserted-by":"publisher","first-page":"1795","DOI":"10.1007\/s00330-020-07147-3","article-title":"Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks","volume":"31","author":"Koitka","year":"2021","journal-title":"Eur. Radiol."},{"key":"B18","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.clnu.2021.12.003","article-title":"Defining reference values for low skeletal muscle index at the L3 vertebra level based on computed tomography in healthy adults: a multicentre study","volume":"41","author":"Kong","year":"2022","journal-title":"Clin. Nutr."},{"key":"B19","doi-asserted-by":"publisher","first-page":"247","DOI":"10.7326\/0003-4819-145-4-200608150-00004","article-title":"Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate","volume":"145","author":"Levey","year":"2006","journal-title":"Ann. Intern Med."},{"key":"B20","doi-asserted-by":"publisher","first-page":"172","DOI":"10.3390\/nu16010172","article-title":"The vicious cycle of type 2 diabetes mellitus and skeletal muscle atrophy: clinical, biochemical, and nutritional bases","volume":"16","author":"Lopez-Pedrosa","year":"2024","journal-title":"Nutrients"},{"key":"B21","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1053\/j.ajkd.2024.09.013","article-title":"Glomerular filtration of creatinine: validation of a novel index of muscle mass among older adults","volume":"85","author":"Oka","year":"2025","journal-title":"Am. J. Kidney Dis."},{"key":"B22","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s13539-012-0079-1","article-title":"Serum creatinine as a marker of muscle mass in chronic kidney disease: results of a cross-sectional study and review of literature","volume":"4","author":"Patel","year":"2013","journal-title":"J. Cachexia Sarcopenia Muscle"},{"key":"B23","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1038\/nrendo.2012.49","article-title":"Muscles, exercise and obesity: skeletal muscle as a secretory organ","volume":"8","author":"Pedersen","year":"2012","journal-title":"Nat. Rev. Endocrinol."},{"key":"B24","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.ejca.2015.12.030","article-title":"Prognostic value of sarcopenia in adults with solid tumours: a meta-analysis and systematic review","volume":"57","author":"Shachar","year":"2016","journal-title":"Eur. J. Cancer"},{"key":"B25","doi-asserted-by":"publisher","first-page":"874","DOI":"10.1093\/ajcn\/79.5.874","article-title":"Sarcopenia and increased adipose tissue infiltration of muscle in elderly African American women","volume":"79","author":"Song","year":"2004","journal-title":"Am. J. Clin. Nutr."},{"key":"B26","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1038\/s41430-017-0034-5","article-title":"Percentiles for skeletal muscle index, area and radiation attenuation based on computed tomography imaging in a healthy Caucasian population","volume":"72","author":"van der Werf","year":"2018","journal-title":"Eur. J. Clin. Nutr."},{"key":"B27","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1038\/s41430-018-0287-7","article-title":"Estimated skeletal muscle mass and density values measured on computed tomography examinations in over 1000 living kidney donors","volume":"73","author":"van Vugt","year":"2019","journal-title":"Eur. J. Clin. Nutr."},{"key":"B28","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1093\/ajcn\/63.6.863","article-title":"Total-body skeletal muscle mass: evaluation of 24-h urinary creatinine excretion by computerized axial tomography","volume":"63","author":"Wang","year":"1996","journal-title":"Am. J. Clin. Nutr."},{"key":"B29","doi-asserted-by":"publisher","first-page":"5835","DOI":"10.1038\/s41598-023-33041-1","article-title":"Reference values for low muscle mass and myosteatosis using tomographic muscle measurements in living kidney donors","volume":"13","author":"Westenberg","year":"2023","journal-title":"Sci. Rep."},{"key":"B30","doi-asserted-by":"publisher","first-page":"010706","DOI":"10.11613\/BM.2021.010706","article-title":"Detection and correction of incomplete duplicate 24-hour urine collections - theory and practical evidence","volume":"31","author":"Wulkan","year":"2021","journal-title":"Biochem. Med. Zagreb."},{"key":"B31","doi-asserted-by":"publisher","first-page":"e21866","DOI":"10.1016\/j.heliyon.2023.e21866","article-title":"Muscle mass has a greater impact on serum creatinine levels in older males than in females","volume":"9","author":"Yim","year":"2023","journal-title":"Heliyon"}],"container-title":["Frontiers in Physiology"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fphys.2025.1566463\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T01:22:51Z","timestamp":1745544171000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fphys.2025.1566463\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":31,"alternative-id":["10.3389\/fphys.2025.1566463"],"URL":"https:\/\/doi.org\/10.3389\/fphys.2025.1566463","relation":{},"ISSN":["1664-042X"],"issn-type":[{"value":"1664-042X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,25]]},"article-number":"1566463"}}