Four-Dimensional Machine Learning Radiomics for the Pretreatment Assessment of Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy in Dynamic Contrast-Enhanced MRI.

Caballo, Marco; Sanderink, Wendelien B G; Han, Luyi; Gao, Yuan; Athanasiou, Alexandra; Mann, Ritse M

Caballo, Marco; Sanderink, Wendelien B G; Han, Luyi; Gao, Yuan; Athanasiou, Alexandra; Mann, Ritse M.

Afiliação

Caballo M; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Sanderink WBG; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Han L; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Gao Y; Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Athanasiou A; Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Mann RM; GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands.

J Magn Reson Imaging ; 57(1): 97-110, 2023 01.

Article em En | MEDLINE | ID: mdl-35633290

Assuntos

Terapia Neoadjuvante; Neoplasias; Aprendizado de Máquina; Imageamento por Ressonância Magnética/métodos; Terapia Neoadjuvante/métodos; Estudos Prospectivos; Estudos Retrospectivos

Palavras-chave

breast cancer; machine learning; neoadjuvant chemotherapy; pathologic complete response; radiomics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Terapia Neoadjuvante / Neoplasias Tipo de estudo: Prognostic_studies Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda

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