Predicting chemotherapy response in non-small-cell lung cancer <i>via</i> computed tomography radiomic features: Peritumoral, intratumoral, or combined?

Chang, Runsheng; Qi, Shouliang; Zuo, Yifan; Yue, Yong; Zhang, Xiaoye; Guan, Yubao; Qian, Wei

Predicting chemotherapy response in non-small-cell lung cancer via computed tomography radiomic features: Peritumoral, intratumoral, or combined?

Chang, Runsheng; Qi, Shouliang; Zuo, Yifan; Yue, Yong; Zhang, Xiaoye; Guan, Yubao; Qian, Wei.

Afiliação

Chang R; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Qi S; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Zuo Y; Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China.
Yue Y; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Zhang X; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Guan Y; Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, China.
Qian W; Department of Radiology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Front Oncol ; 12: 915835, 2022.

Article em En | MEDLINE | ID: mdl-36003781

Palavras-chave

Computed Tomography (CT); area under curve; chemotherapy response; non-small cell lung cancer; peritumoral features; radiomics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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