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CSA of SM in CT images was measured at L3 and C3 in each patient, and a predictive formula developed using fivefold cross-validation and linear regression modelling. Correlation and agreement between measured CSA at L3 and predicted values were evaluated using intraclass correlation coefficients (ICC) and Bland\u2013Altman plot. The model\u2019s ability to identify sarcopenia was investigated using Cohen\u2019s Kappa (<jats:italic>k<\/jats:italic>).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>A total of 109 patient scans were analysed, with 64% of the cohort being overweight or obese. The prediction model demonstrated high level of correlation between measured and predicted CSA measures (ICC 0.954, <jats:italic>r<\/jats:italic>\u2009=\u20090.916, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), and skeletal muscle index (SMI) (ICC 0.939, <jats:italic>r<\/jats:italic>\u2009=\u20090.883, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). Bland\u2013Altman plot showed good agreement in SMI, with mean difference (bias)\u2009=\u20090.22% (SD 8.65, 95% CI \u2212\u20093.35 to 3.79%), limits of agreement (\u2212\u200916.74 to 17.17%). The model had a sensitivity of 80.0% and specificity of 85.0%, with moderate agreement on sarcopenia diagnosis (<jats:italic>k<\/jats:italic>\u2009=\u20090.565, <jats:italic>p<\/jats:italic>\u2009=\u20090.004).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>This model is effective in predicting lumbar SM CSA using measures at C3, and in identifying low SM in a predominately overweight group of patients with HNC.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00405-022-07545-x","type":"journal-article","created":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T16:03:02Z","timestamp":1657814582000},"page":"321-328","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A prediction model for skeletal muscle evaluation and computed tomography-defined sarcopenia diagnosis in a predominantly overweight cohort of patients with head and neck cancer"],"prefix":"10.1007","volume":"280","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1078-9212","authenticated-orcid":false,"given":"Belinda","family":"Vangelov","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judith","family":"Bauer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Moses","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Smee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,7,14]]},"reference":[{"issue":"5","key":"7545_CR1","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/S1470-2045(10)70218-7","volume":"12","author":"K Fearon","year":"2011","unstructured":"Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL et al (2011) Definition and classification of cancer cachexia: an international consensus. 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