Evaluating the diagnostic accuracy of a ctDNA methylation classifier for incidental lung nodules: protocol for a prospective, observational, and multicenter clinical trial of 10,560 cases

BACKGROUND: Lung nodules are a diagnostic challenge. Current clinical management of lung nodule patients is inefficient and therefore causes patient misclassification, which increases healthcare expenses. However, a precise and robust lung nodule classifier to minimize discomfort for patients and he...

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Detalles Bibliográficos
Autores principales: Liang, Wenhua, Liu, Dan, Li, Min, Wang, Wei, Qin, Zheng, Zhang, Jian, Zhang, Yong, Hu, Yang, Bao, Hairong, Xiang, Yi, Wang, Bo, Wu, Jing, Sun, Jianyu, Hu, Chengping, Ye, Xianwei, Zhang, Xiangyan, Xiao, Wei, Yun, Chunmei, Sun, Dejun, Chang, Ning, Zhang, Yunhui, Zhao, Jianping, Zhang, Xin, Xu, Jinfu, Wu, Di, Liu, Xiaoju, Guo, Yubiao, Zhang, Qichuan, Zhang, Wei, Yang, Lan, Li, Zhanqing, Zhang, Xiaoju, Han, Baohui, Tong, Zhaohui, He, Jianxing, Qu, Jieming, Fan, Jian-Bing, Zhong, Nanshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Study Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653103/
https://www.ncbi.nlm.nih.gov/pubmed/33209621
http://dx.doi.org/10.21037/tlcr-20-701

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