{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T20:01:58Z","timestamp":1790798518555,"version":"4.1.0"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T00:00:00Z","timestamp":1665532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K07CA201334"],"award-info":[{"award-number":["K07CA201334"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R37CA248371"],"award-info":[{"award-number":["R37CA248371"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018488","name":"University of Florida Clinical and Translational Science Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018488","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Adiposity and skeletal muscle levels assessed on computed tomography (CT) scans are prognostic indicators for patients with breast cancer. However, the intraindividual reliability of temporal changes in body composition assessed on opportunistic CT scans is unclear.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>This retrospective study included 50 patients newly diagnosed with breast cancer who had archived CT scans pre- and postsurgery for breast cancer. The third lumbar CT image was segmented for areas of 3 types of adipose tissues and 5 different densities of skeletal muscles. Mean and percent changes in areas pre- vs postsurgery were compared using Wilcoxon signed rank tests. Intraclass correlation coefficients (ICCs) with 95% confidence intervals were assessed. A 2-sided P\u2009less than\u2009.05 was considered statistically significant.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Mean (SD) age at diagnosis was 58.3 (12.5) years, and the interval between CT scans was 590.6 (536.8) days. Areas for body composition components were unchanged except for intermuscular adipose tissue (mean change = 1.45 cm2, 6.74% increase, P\u2009=\u2009.008) and very high-density muscle (mean change = \u22120.37 cm2, 11.08% decrease, P\u2009=\u2009.01) during the interval. There was strong intraindividual reliability in adipose tissue and skeletal muscle areas on pre- vs postsurgery scans overall (ICC\u2009=\u20090.763-0.998) and for scans collected 3\u2009or less years apart (ICC\u2009=\u20090.802-0.999; 42 patients).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Although some body composition components may change after breast cancer surgery, CT scan assessments of body composition were reliable for a 3-year interval including the surgery. These findings inform measurement characteristics of body composition on opportunistic CT scans of patients undergoing surgery for breast cancer.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jncics\/pkac068","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T21:11:14Z","timestamp":1665436274000},"source":"Crossref","is-referenced-by-count":7,"title":["Intraindividual Reliability of Opportunistic Computed Tomography\u2013Assessed Adiposity and Skeletal Muscle Among Breast Cancer Patients"],"prefix":"10.1093","volume":"6","author":[{"given":"Livingstone","family":"Aduse-Poku","sequence":"first","affiliation":[{"name":"Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida , Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dheeraj R","family":"Gopireddy","sequence":"additional","affiliation":[{"name":"Department of Radiology, College of 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M","family":"Falzarano","sequence":"additional","affiliation":[{"name":"Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida , Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shahla","family":"Masood","sequence":"additional","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, College of Medicine\u2013Jacksonville, University of Florida , Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susmita","family":"Datta","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, College of Public Health and Health Professions and College of Medicine, University of Florida , Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weizhou","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida 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