Radiomic analysis of magnetic resonance imaging predicts brain metastases velocity and clinical outcome after upfront radiosurgery.

Hsu, Che-Yu; Xiao, Furen; Liu, Kao-Lang; Chen, Ting-Li; Lee, Yueh-Chou; Wang, Weichung

Hsu, Che-Yu; Xiao, Furen; Liu, Kao-Lang; Chen, Ting-Li; Lee, Yueh-Chou; Wang, Weichung.

Afiliação

Hsu CY; Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Xiao F; National Taiwan University Cancer Center, Taipei, Taiwan.
Liu KL; Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan.
Chen TL; Department of Neurosurgery, National Taiwan University Hospital, Taipei, Taiwan.
Lee YC; Department of Medical Imaging, National Taiwan University Cancer Center, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Wang W; Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan.

Neurooncol Adv ; 2(1): vdaa100, 2020.

Article em En | MEDLINE | ID: mdl-33817641

Palavras-chave

brain metastases velocity; distant brain failure; machine learning; neuro-oncology; radiomics

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neurooncol Adv Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Taiwan

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