{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T01:49:33Z","timestamp":1791510573956,"version":"4.3.4"},"reference-count":34,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T00:00:00Z","timestamp":1735171200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T00:00:00Z","timestamp":1735171200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Single\u2010slice computed tomography (CT) body composition has been studied extensively for prognostication in patients with cancer. New software packages can also provide multi\u2010slice volumetric measurements, but the clinical utility of these remains under explored. This study aimed to evaluate the agreement between single\u2010 and multi\u2010slice body composition analyses in patients with oesophagogastric cancer and to explore the association between these measures and overall survival.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Consecutive patients with newly diagnosed oesophagogastric (OG) cancer were identified through the prospectively maintained regional database of the South East Scotland Cancer Network across a 2\u2010year study period. CT body composition analyses were undertaken using scans collected during routine clinical care. Single\u2010slice (cross\u2010sectional area at mid L3) and multi\u2010slice (volume between T12 and L4) measurements were compared for skeletal muscle (SKM), subcutaneous adipose (SAT), visceral adipose (VAT) and intermuscular adipose (IMAT). Agreement between sex\u2010stratified z\u2010scores was quantified using Pearson correlation coefficients and Bland\u2013Altman analyses. Cox proportional hazard modelling was used to estimate the effect of these measures on overall survival.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Overall, 504 patients (67.9% male, median 72\u2009years) were newly diagnosed with OG cancer during the study period. Single\u2010 and multi\u2010slice (mean: 169 slices) measurements correlated highly for SKM (R: 0.97,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), SAT (R: 0.98,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), VAT (R: 0.97,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), SKM radiodensity (R: 0.93,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and IMAT (R: 0.88, p\u2009&lt;\u20090.001). Bias on Bland\u2013Altman analysis was 0.00 for all tissue measurements. Limits of agreement (LoA) were narrowest for SAT (\u00b10.43), VAT (\u00b10.46) and SKM (\u00b10.48), but slightly wider for SKM radiodensity (\u00b10.73) and IMAT (\u00b10.96). Adipose tissue \u2018outliers\u2019 (those where agreement between single\u2010 and multi\u2010slice z\u2010scores was outside the LoA) had a higher median weight and body mass index (BMI), suggestive of poorer agreement in patients with obesity. Sensitivity analysis, excluding those with BMI\u2009&gt;\u200930, narrowed the LoA for SKM, VAT, SAT and IMAT. Direction and magnitudes of observed effect sizes for overall survival were all highly comparable, with hazard ratios for each tissue type varying by \u2264\u20090.04 between single\u2010 and multi\u2010slice adjusted estimates.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Single\u2010slice and multi\u2010slice CT assessments provide highly correlated tissue measurements amongst patients with OG cancer. Associations between these measurements and overall survival were also comparable across both types of body composition analysis. Agreement between single\u2010 and multi\u2010slice measurements of adiposity is worse in patients with obesity, suggesting single\u2010slice analyses may less accurately reflect the quantity or distribution of adipose tissue in this patient group.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcsm.13673","type":"journal-article","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T05:34:54Z","timestamp":1735191294000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Comparison Between Single\u2010 and Multi\u2010slice Computed Tomography Body Composition Analysis in Patients With Oesophagogastric Cancer"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6181-7020","authenticated-orcid":false,"given":"Leo\u00a0R.","family":"Brown","sequence":"first","affiliation":[{"name":"Clinical Surgery University of Edinburgh, Royal Infirmary of Edinburgh  Edinburgh Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria","family":"Soupashi","sequence":"additional","affiliation":[{"name":"Clinical Surgery University of Edinburgh, Royal Infirmary of Edinburgh  Edinburgh Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael\u00a0S.","family":"Yule","sequence":"additional","affiliation":[{"name":"Clinical Surgery University of Edinburgh, Royal Infirmary of Edinburgh  Edinburgh Scotland UK"},{"name":"Institute of Genetics and Cancer University of Edinburgh, Western General Hospital  Edinburgh Scotland UK"},{"name":"St Columba's Hospice  Edinburgh Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danielle\u00a0R.","family":"Clyde","sequence":"additional","affiliation":[{"name":"Department of General Surgery Victoria Hospital  Kirkcaldy Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ellen","family":"Gardner","sequence":"additional","affiliation":[{"name":"Department of General Surgery Forth Valley Royal Hospital  Larbert Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charlotte","family":"Smith","sequence":"additional","affiliation":[{"name":"Department of General Surgery Borders General Hospital  Melrose Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed","family":"Dhaif","sequence":"additional","affiliation":[{"name":"Department of General Surgery Dumfries and Galloway Royal Infirmary  Cargenbridge Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barry\u00a0J.\u00a0A.","family":"Laird","sequence":"additional","affiliation":[{"name":"Institute of Genetics and Cancer University of Edinburgh, Western General Hospital  Edinburgh Scotland UK"},{"name":"St Columba's Hospice  Edinburgh Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen\u00a0J.","family":"Wigmore","sequence":"additional","affiliation":[{"name":"Clinical Surgery University of Edinburgh, Royal Infirmary of Edinburgh  Edinburgh Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard\u00a0J.\u00a0E.","family":"Skipworth","sequence":"additional","affiliation":[{"name":"Clinical Surgery University of Edinburgh, Royal Infirmary of Edinburgh  Edinburgh Scotland UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,12,26]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2015.12.030"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.critrevonc.2019.102839"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/SLA.0000000000005452"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.13082"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10120-018-0882-2"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.13126"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1139\/H08-075"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.12573"},{"key":"e_1_2_8_10_1","unstructured":"D.Ma V.Chow K.Popuri andM. F.Beg \u201cComprehensive Validation of Automated Whole Body Skeletal Muscle Adipose Tissue and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition [Internet] \u201d arXiv (2021) accessed October 10 2022 http:\/\/arxiv.org\/abs\/2106.00652."},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.13080"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.39335.541782.AD"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.21037\/acs.2017.03.14"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21388"},{"key":"e_1_2_8_15_1","first-page":"173","article-title":"Carcinoma of the Gastroesophageal Junction \u2010 Classification, Pathology and Extent of Resection","volume":"9","author":"Siewert J. 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