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Risk Prediction Model for Lung Cancer Screening
Article en Ko | WPRIM | ID: wpr-916844
Biblioteca responsable: 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.
Texto completo: 1 Base de datos: WPRIM Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Screening_studies Idioma: Ko Revista: Journal of the Korean Radiological Society Año: 2019 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Screening_studies Idioma: Ko Revista: Journal of the Korean Radiological Society Año: 2019 Tipo del documento: Article