Combining Plasma miRNAs and Computed Tomography Features to Differentiate the Nature of Pulmonary Nodules.

Xi, Kexing; Wang, Weidong; Wen, Yingsheng; Chen, Yongqiang; Zhang, Xuewen; Wu, Yaobo; Zhang, Rusi; Wang, Gongming; Huang, Zirui; Zhang, Lanjun

Xi, Kexing; Wang, Weidong; Wen, Yingsheng; Chen, Yongqiang; Zhang, Xuewen; Wu, Yaobo; Zhang, Rusi; Wang, Gongming; Huang, Zirui; Zhang, Lanjun.

Afiliação

Xi K; Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wang W; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Wen Y; Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Chen Y; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Zhang X; Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wu Y; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Zhang R; Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wang G; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Huang Z; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Zhang L; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.

Front Oncol ; 9: 975, 2019.

Article em En | MEDLINE | ID: mdl-31632908

Palavras-chave

NSCLC; diagnosis; microRNA; prediction model; pulmonary nodules

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Revista: Front Oncol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

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