Lung cancer risk prediction models based on pulmonary nodules: A systematic review

BACKGROUND: Screening with low‐dose computed tomography (LDCT) is an efficient way to detect lung cancer at an earlier stage, but has a high false‐positive rate. Several pulmonary nodules risk prediction models were developed to solve the problem. This systematic review aimed to compare the quality...

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Detalles Bibliográficos
Autores principales: Wu, Zheng, Wang, Fei, Cao, Wei, Qin, Chao, Dong, Xuesi, Yang, Zhuoyu, Zheng, Yadi, Luo, Zilin, Zhao, Liang, Yu, Yiwen, Xu, Yongjie, Li, Jiang, Tang, Wei, Shen, Sipeng, Wu, Ning, Tan, Fengwei, Li, Ni, He, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888150/
https://www.ncbi.nlm.nih.gov/pubmed/35137543
http://dx.doi.org/10.1111/1759-7714.14333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888150/
https://www.ncbi.nlm.nih.gov/pubmed/35137543
http://dx.doi.org/10.1111/1759-7714.14333

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