CT Image-Based Biopsy to Aid Prediction of HOPX Expression Status and Prognosis for Non-Small Cell Lung Cancer Patients.

Jin, Yu; Arimura, Hidetaka; Cui, YunHao; Kodama, Takumi; Mizuno, Shinichi; Ansai, Satoshi

Jin, Yu; Arimura, Hidetaka; Cui, YunHao; Kodama, Takumi; Mizuno, Shinichi; Ansai, Satoshi.

Afiliación

Jin Y; Division of Medical Quantum Science, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Arimura H; Division of Medical Quantum Science, Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Cui Y; Division of Medical Quantum Science, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Kodama T; Division of Medical Quantum Science, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Mizuno S; Division of Medical Technology, Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Ansai S; Laboratory of Genome Editing Breeding, Graduate School of Agriculture, Kyoto University, Kyoto 606-8520, Japan.

Cancers (Basel) ; 15(8)2023 Apr 10.

Article en En | MEDLINE | ID: mdl-37190150

Palabras clave

CT image features; HOPX; imaging biopsy; non-small cell lung cancer; radiogenomics

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Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Japón

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