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Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade

PURPOSE: To investigate whether radiomics features extracted from magnetic resonance imaging (MRI) of patients with biopsy-proven atypical ductal hyperplasia (ADH) coupled with machine learning can differentiate high-risk lesions that will upgrade to malignancy at surgery from those that will not, a...

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Detalles Bibliográficos
Autores principales:	Lo Gullo, Roberto, Vincenti, Kerri, Rossi Saccarelli, Carolina, Gibbs, Peter, Fox, Michael J., Daimiel, Isaac, Martinez, Danny F., Jochelson, Maxine S., Morris, Elizabeth A., Reiner, Jeffrey S., Pinker, Katja
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer US 2021
Materias:	Epidemiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190021/ https://www.ncbi.nlm.nih.gov/pubmed/33471237 http://dx.doi.org/10.1007/s10549-020-06074-7

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