High-resolution computed tomography findings independently predict epidermal growth factor receptor mutation status in ground-glass nodular lung adenocarcinoma.

Zhu, Ping; Xu, Xiao-Jun; Zhang, Min-Ming; Fan, Shu-Feng

Zhu, Ping; Xu, Xiao-Jun; Zhang, Min-Ming; Fan, Shu-Feng.

Afiliación

Zhu P; Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, Zhejiang Province, China.
Xu XJ; Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, Zhejiang Province, China.
Zhang MM; Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, Zhejiang Province, China.
Fan SF; Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, Zhejiang Province, China. shufengfan16@126.com.

World J Clin Cases ; 9(32): 9792-9803, 2021 Nov 16.

Article en En | MEDLINE | ID: mdl-34877318

Palabras clave

Epidermal growth factor receptor; Logistic model; Lung adenocarcinoma; Receiver operating characteristic analysis; Tomography

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: World J Clin Cases Año: 2021 Tipo del documento: Article País de afiliación: China

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