Journal List > J Korean Soc Radiol > v.80(5) > 1141924

Kim, Kim, Goo, and Sun: Risk Prediction Model for Lung Cancer Screening


Lung cancer screening in high-risk subjects using low-dose CT can reduce mortality by 20%. Current evidence suggests that the development of a risk prediction model for lung cancer is one of the major advances in lung cancer screening. Herein, we review the technical requirements for evaluating different risk prediction models. Moreover, we describe the major lung cancer risk prediction models reported, and the results of lung cancer screening using these models.


Conflicts of Interest The authors have no potential conflicts of interest to disclose.


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Tae Jung Kim

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