{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T04:15:09Z","timestamp":1741839309768,"version":"3.38.0"},"reference-count":30,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T00:00:00Z","timestamp":1737936000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["NIH (NCI) 5U01CA209414","NIH\u2010USA U24CA194354","NIH\u2010USA U01CA190234","NIH\u2010USA U01CA209414","NIH\u2010USA R35CA22052"],"award-info":[{"award-number":["NIH (NCI) 5U01CA209414","NIH\u2010USA U24CA194354","NIH\u2010USA U01CA190234","NIH\u2010USA U01CA209414","NIH\u2010USA R35CA22052"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Intern Med"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Steatotic liver disease (SLD) is a potentially reversible condition but often goes unnoticed with the risk for end\u2010stage liver disease.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To opportunistically estimate SLD on lung screening chest computed tomography (CT) and investigate its prognostic value in heavy smokers participating in the National Lung Screening Trial (NLST).<\/jats:p><\/jats:sec><jats:sec><jats:title>Material and methods<\/jats:title><jats:p>We used a deep learning model to segment the liver on non\u2010contrast\u2010enhanced chest CT scans of 19,774 NLST participants (age 61.4\u00a0\u00b1\u00a05.0 years; 41.2% female) at baseline and on the 1\u2010year follow\u2010up scan if no cancer was detected. SLD was defined as hepatic fat fraction (HFF) \u22655% derived from Hounsfield unit measures of the segmented liver. Participants with SLD were categorized as lean (body mass index [BMI]\u00a0&lt;\u00a025\u00a0kg\/m<jats:sup>2<\/jats:sup>) and overweight (BMI\u00a0\u2265\u00a025\u00a0kg\/m<jats:sup>2<\/jats:sup>). The primary outcome was all\u2010cause mortality. Cox proportional hazard regression assessed the association between (1) SLD and mortality at baseline and (2) the association between a change in HFF and mortality within 1 year.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>There were 5.1% (1000\/19,760) all\u2010cause deaths over a median follow\u2010up of 6 (range, 0.8\u20136) years. At baseline, SLD was associated with increased mortality in lean but not in overweight\/obese participants as compared to participants without SLD (hazard ratio [HR] adjusted for risk factors: 1.93 [95% confidence interval 1.52\u20132.45]; <jats:italic>p<\/jats:italic>\u00a0=\u00a00.001). Individuals with an increase in HFF within 1 year had a significantly worse outcome than participants with stable HFF (HR adjusted for risk factors: 1.29 [1.01\u20131.65]; <jats:italic>p<\/jats:italic>\u00a0=\u00a00.04).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>SLD is an independent predictor for long\u2010term mortality in heavy smokers beyond known clinical risk factors.<\/jats:p><\/jats:sec>","DOI":"10.1111\/joim.20053","type":"journal-article","created":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T13:56:42Z","timestamp":1737986202000},"page":"276-288","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Opportunistic assessment of steatotic liver disease in lung cancer screening eligible individuals"],"prefix":"10.1111","volume":"297","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0336-8519","authenticated-orcid":false,"given":"Jakob","family":"Weiss","sequence":"first","affiliation":[{"name":"Artificial Intelligence in Medicine (AIM) Program Mass General Brigham Harvard Medical School Harvard Institutes of Medicine (HIM)  Boston Massachusetts USA"},{"name":"Department of Radiation Oncology Brigham and Women's Hospital Dana\u2010Farber Cancer Institute, Harvard Medical School  Boston Massachusetts USA"},{"name":"Department of Radiology Brigham and Women's Hospital Dana\u2010Farber Cancer Institute Harvard Medical School  Boston Massachusetts USA"},{"name":"Department of Diagnostic and Interventional Radiology Faculty of Medicine University Medical Center Freiburg University of Freiburg  Freiburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Bernatz","sequence":"additional","affiliation":[{"name":"Artificial Intelligence in Medicine (AIM) Program Mass General Brigham Harvard Medical School Harvard Institutes of Medicine (HIM)  Boston Massachusetts USA"},{"name":"Department of Radiation Oncology Brigham and Women's Hospital Dana\u2010Farber Cancer Institute, Harvard Medical School  Boston Massachusetts USA"},{"name":"Radiology and Nuclear Medicine CARIM &amp; GROW Maastricht University  Maastricht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Justin","family":"Johnson","sequence":"additional","affiliation":[{"name":"Artificial Intelligence in Medicine (AIM) Program Mass General Brigham Harvard Medical School Harvard Institutes of Medicine (HIM)  Boston Massachusetts USA"},{"name":"Department of Radiation Oncology Brigham and Women's Hospital Dana\u2010Farber Cancer Institute, Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vamsi","family":"Thiriveedhi","sequence":"additional","affiliation":[{"name":"Department of Radiology Brigham and Women's Hospital Dana\u2010Farber Cancer Institute Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raymond H.","family":"Mak","sequence":"additional","affiliation":[{"name":"Artificial Intelligence in Medicine (AIM) Program Mass General Brigham Harvard Medical School Harvard Institutes of Medicine (HIM)  Boston Massachusetts USA"},{"name":"Department of Radiation Oncology Brigham and Women's Hospital Dana\u2010Farber Cancer Institute, Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andriy","family":"Fedorov","sequence":"additional","affiliation":[{"name":"Department of Radiology Brigham and Women's Hospital Dana\u2010Farber Cancer Institute Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael T.","family":"Lu","sequence":"additional","affiliation":[{"name":"Artificial Intelligence in Medicine (AIM) Program Mass General Brigham Harvard Medical School Harvard Institutes of Medicine (HIM)  Boston Massachusetts USA"},{"name":"Cardiovascular Imaging Research Center Massachusetts General Hospital Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hugo J. 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