Establishment and validation of a radiological-radiomics model for predicting high-grade patterns of lung adenocarcinoma less than or equal to 3 cm.

Dong, Hao; Yin, Lekang; Chen, Lei; Wang, Qingle; Pan, Xianpan; Li, Yang; Ye, Xiaodan; Zeng, Mengsu

Dong, Hao; Yin, Lekang; Chen, Lei; Wang, Qingle; Pan, Xianpan; Li, Yang; Ye, Xiaodan; Zeng, Mengsu.

Afiliación

Dong H; Department of Radiology, First People's Hospital of Xiaoshan District, Hangzhou, China.
Yin L; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Chen L; Department of Research, Shanghai United Imaging Intelligence Co. Ltd., Shanghai, China.
Wang Q; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Pan X; Department of Research, Shanghai United Imaging Intelligence Co. Ltd., Shanghai, China.
Li Y; Department of Research, Shanghai United Imaging Intelligence Co. Ltd., Shanghai, China.
Ye X; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zeng M; Shanghai Institute of Medical Imaging, Shanghai, China.

Front Oncol ; 12: 964322, 2022.

Article en En | MEDLINE | ID: mdl-36185244

Palabras clave

high-grade pattern; lung adenocarcinoma; model; predictive performance; radiomics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China

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