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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2022
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Materias: | |
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 |
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