{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T02:45:51Z","timestamp":1784601951832,"version":"3.55.0"},"reference-count":50,"publisher":"Wiley","issue":"23","license":[{"start":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T00:00:00Z","timestamp":1628726400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["F32CA220961"],"award-info":[{"award-number":["F32CA220961"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["U01CA199284"],"award-info":[{"award-number":["U01CA199284"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Current lung cancer risk\u2010based screening approaches use a single risk\u2010threshold, disregard life\u2010expectancy, and ignore past screening findings. We address these limitations with a comprehensive analytical framework, the individualized lung cancer screening decision (ENGAGE) tool that aims to optimize lung cancer screening for US ever\u2010smokers under dynamic risk assessment by incorporating life expectancy and past screening findings over time.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>ENGAGE employs a partially observable Markov decision process framework that integrates published risk prediction and disease progression models, to dynamically assess the trade\u2010off between the expected health benefits and harms associated with screening. ENGAGE evaluates lung cancer risk annually and provides real\u2010time screening eligibility that maximizes the expected quality\u2010adjusted life\u2010years (QALYs) of ever\u2010smokers. We compare ENGAGE against the 2013 U.S. Preventive Services Task Force (USPSTF) lung cancer screening guideline and single\u2010threshold risk\u2010based screening paradigms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Compared with the 2013 USPSTF guidelines, ENGAGE expands screening coverage among ever\u2010smokers (ENGAGE: 78%, USPSTF: 61%), while reducing the number of screening examinations per person (ENGAGE:10.43, USPSTF:12.07, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001), yields higher effectiveness in terms of increased lung cancer\u2010specific mortality reduction (ENGAGE: 19%, USPSTF: 15%, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001) and improves screening efficiency (ENGAGE: 696, USPSTF: 819 screens per death avoided, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001). When compared against a single\u2010threshold risk\u2010based screening strategy, ENGAGE increases QALY requiring 30% fewer screens per death avoided (ENGAGE: 696, single\u2010threshold: 889, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001), and reduces false positives by 40%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>ENGAGE provides a comprehensive framework for dynamic risk\u2010based assessment of lung cancer screening eligibility by incorporating life expectancy and past screening findings that can serve to guide future policies on the effectiveness and efficiency of screening.<\/jats:p><\/jats:sec><jats:sec><jats:title>Lay Summary<\/jats:title><jats:p>\n<jats:list list-type=\"bullet\">\n\n<jats:list-item><jats:p>A novel decision\u2010analytical screening framework was developed for lung cancer, the individualized lung cancer screening decision (ENGAGE) tool to provide personalized screening schedules for ever\u2010smokers.<\/jats:p><\/jats:list-item>\n\n<jats:list-item><jats:p>ENGAGE captures the dynamic nature of lung cancer risk and incorporates life expectancy into the screening decision\u2010making process.<\/jats:p><\/jats:list-item>\n\n<jats:list-item><jats:p>ENGAGE integrates past screening findings and changes in smoking behavior of individuals and provides informed screening decisions that outperform existing screening guidelines and single\u2010threshold risk\u2010based screening approaches.<\/jats:p><\/jats:list-item>\n\n<jats:list-item><jats:p>A personalized lung cancer screening program facilitated by a tool such as ENGAGE could enhance the efficiency of lung cancer screening.<\/jats:p><\/jats:list-item>\n<\/jats:list>\n<\/jats:p><\/jats:sec>","DOI":"10.1002\/cncr.33835","type":"journal-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T09:13:06Z","timestamp":1628759586000},"page":"4432-4446","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["A risk\u2010based framework for assessing real\u2010time lung cancer screening eligibility that incorporates life expectancy and past screening findings"],"prefix":"10.1002","volume":"127","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3462-2137","authenticated-orcid":false,"given":"Iakovos","family":"Toumazis","sequence":"first","affiliation":[{"name":"Department of Biomedical Data Science Stanford University Stanford California"},{"name":"Department of Radiology Stanford University Stanford 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