Radiomic biomarkers from chest computed tomography are assistive in immunotherapy response prediction for non-small cell lung cancer.

Schroeder, Kimberly E; Acharya, Luna; Mani, Hariharasudan; Furqan, Muhammad; Sieren, Jessica C

Schroeder, Kimberly E; Acharya, Luna; Mani, Hariharasudan; Furqan, Muhammad; Sieren, Jessica C.

Afiliación

Schroeder KE; Department of Radiology, University of Iowa, Iowa City, IA, USA.
Acharya L; Department of Internal Medicine, Hematology, Oncology and Blood and Marrow Transplantation, University of Iowa, Iowa City, IA, USA.
Mani H; Department of Internal Medicine, Hematology, Oncology and Blood and Marrow Transplantation, University of Iowa, Iowa City, IA, USA.
Furqan M; Department of Internal Medicine, Hematology, Oncology and Blood and Marrow Transplantation, University of Iowa, Iowa City, IA, USA.
Sieren JC; Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA.

Transl Lung Cancer Res ; 12(5): 1023-1033, 2023 May 31.

Article en En | MEDLINE | ID: mdl-37323179

Palabras clave

Therapy response; computed tomography; machine learning; pneumonitis; progression-free survival

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Lung Cancer Res Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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