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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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| Pubblicato in: | Breast Cancer Res Treat |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | 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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