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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Detalhes bibliográficos
Publicado no:Breast Cancer Res Treat
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Springer US 2021
Assuntos:
Epidemiology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8190021/
https://ncbi.nlm.nih.gov/pubmed/33471237
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10549-020-06074-7
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