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KMID : 1103720190800050860
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Journal of the Korean Society of Radiology
2019 Volume.80 No. 5 p.860 ~ p.871
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Risk Prediction Model for Lung Cancer Screening
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Kim Tae-Jung
Kim Hyae-Young
Goo Jin-Mo
Sun Joo-Sung
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Abstract
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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.
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KEYWORD
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Risk Assessment, Lung Cancer, Screening, Computed Tomography, X-Ray
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