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Risk Prediction Model for Lung Cancer Screening
Article ي Ko | WPRIM | ID: wpr-916844
المكتبة المسؤولة: WPRO
ABSTRACT
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.
النص الكامل: 1 الفهرس: WPRIM نوع الدراسة: Diagnostic_studies / Etiology_studies / Prognostic_studies / Screening_studies اللغة: Ko مجلة: Journal of the Korean Radiological Society السنة: 2019 نوع: Article
النص الكامل: 1 الفهرس: WPRIM نوع الدراسة: Diagnostic_studies / Etiology_studies / Prognostic_studies / Screening_studies اللغة: Ko مجلة: Journal of the Korean Radiological Society السنة: 2019 نوع: Article