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Multivariate Machine Learning Models for Prediction of Pathologic Response to Neoadjuvant Therapy in Breast Cancer using MRI features: A Study Using an Independent Validation Set

PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict pathologic complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer patients. METHODS:...

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Publicat a:Breast Cancer Res Treat
Autors principals: Cain, Elizabeth Hope, Saha, Ashirbani, Harowicz, Michael R., Marks, Jeffrey R., Marcom, P. Kelly, Mazurowski, Maciej A.
Format: Artigo
Idioma:Inglês
Publicat: 2018
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6483397/
https://ncbi.nlm.nih.gov/pubmed/30328048
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10549-018-4990-9
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