{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T14:03:07Z","timestamp":1773842587012,"version":"3.50.1"},"reference-count":43,"publisher":"Wiley","issue":"1-2","license":[{"start":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T00:00:00Z","timestamp":1766361600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T00:00:00Z","timestamp":1766361600000},"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":["ANZ Journal of Surgery"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Backgrounds<\/jats:title>\n                    <jats:p>Sarcopenia is associated with higher mortality and morbidity in emergency laparotomies. Sarcopenia is traditionally measured with single 2D axial computed tomography (CT) slice at the L3 level, which is time\u2010consuming and provide limited data. This study aims to determine if sarcopenia, measured using Artificial intelligence (AI) 3D\u2010derived body composition (BC), can predict adverse outcomes after emergency abdominal surgery.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Retrospective analysis of Australian and New Zealand Emergency Laparotomy Audit\u2014Quality Improvement (ANZELA\u2010QI) patients treated at a tertiary Australian hospital from 2018 to 2023 was conducted. Multiple CT slices from lumbosacral regions were used for 3D BC analysis using a validated AI segmentation model. Sarcopenia was defined based on the lowest quartile for skeletal muscle radiodensity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      408 patients were included. Sarcopenic patients had lower skeletal muscle mass (&lt;\u20090.001) with higher volumes of visceral adipose tissue (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and subcutaneous adipose tissue (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.02). Sarcopenia was associated with age (73 vs. 57\u2009years;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), increased length of stay (26 vs. 15\u2009days;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.041) and intensive care unit admission (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Sarcopenia was not associated with significant post\u2010operative complications (Clavien\u2010Dindo \u2265\u20093) (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.903) or worse discharge status (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.138).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Sarcopenia is a significant predictor of adverse postoperative outcomes in patients undergoing emergency abdominal surgery. CT\u2010derived 3D lumbosacral BC may help identify high\u2010risk patients to guide risk stratification. AI has the potential to aid future implementation of 3D BC into routine clinical application.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ans.70449","type":"journal-article","created":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T11:57:16Z","timestamp":1766404636000},"page":"298-303","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["<scp>3D<\/scp>\n                    Body Composition and Artificial Intelligence\u2014A Novel Tool to Assess Sarcopenia and Predict Postoperative Outcomes in Emergency Abdominal Surgery"],"prefix":"10.1111","volume":"96","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1144-2173","authenticated-orcid":false,"given":"Chui Foong","family":"Ong","sequence":"first","affiliation":[{"name":"Department of Surgery, Western Precinct University of Melbourne  Victoria 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