Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images.

Liu, Defeng; Zhang, Xiaohang; Zheng, Tao; Shi, Qinglei; Cui, Yujie; Wang, Yongji; Liu, Lanxiang

Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images.

Liu, Defeng; Zhang, Xiaohang; Zheng, Tao; Shi, Qinglei; Cui, Yujie; Wang, Yongji; Liu, Lanxiang.

Afiliación

Liu D; Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, People's Republic of China.
Zhang X; State Grid Information & Telecommunication Group Co., Ltd., Beijing, People's Republic of China.
Zheng T; Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, People's Republic of China.
Shi Q; Scientific Clinical Specialist, Siemens Ltd., Beijing, People's Republic of China.
Cui Y; Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, People's Republic of China.
Wang Y; Cooperative Innovation Center, Institute of Software, Chinese Academy of Sciences, Beijing, People's Republic of China.
Liu L; University of Chinese Academy of Sciences, Beijing, People's Republic of China.

Arch Gynecol Obstet ; 303(3): 811-820, 2021 03.

Article en En | MEDLINE | ID: mdl-33394142

Asunto(s)

Cuello del Útero/efectos de los fármacos; Cuello del Útero/efectos de la radiación; Quimioradioterapia/métodos; Terapia Neoadyuvante/métodos; Neoplasias del Cuello Uterino/terapia; Adulto; Cuello del Útero/diagnóstico por imagen; Árboles de Decisión; Femenino; Humanos; Imagen por Resonancia Magnética/métodos; Persona de Mediana Edad; Estadificación de Neoplasias; Evaluación de Resultado en la Atención de Salud; Estudios Retrospectivos; Neoplasias del Cuello Uterino/patología

Palabras clave

Cervical cancer; Chemoradiotherapy; Radiomics; Random forest; T2-weighted image

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Cuello Uterino / Cuello del Útero / Terapia Neoadyuvante / Quimioradioterapia Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: Arch Gynecol Obstet Asunto de la revista: GINECOLOGIA / OBSTETRICIA Año: 2021 Tipo del documento: Article

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