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 di...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Radiology
2019-09-01
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| Series: | 대한영상의학회지 |
| Subjects: | |
| Online Access: | https://doi.org/10.3348/jksr.2019.80.5.860 |
| Summary: | 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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| ISSN: | 1738-2637 2288-2928 |