Abstract
In a recent article, Maisonneuve and colleagues described risk models identifying smokers at greatest risk of lung cancer for computed tomographic (CT) screening ([1][1]). We agree that such an approach will help increase lung cancer detection rates, improve cost-effectiveness, and reduce harm from
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