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...

Descripción completa

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

Internet

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

Ejemplares similares