Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers

OBJECTIVES: To investigate whether radiomics features extracted from MRI of BRCA-positive patients with sub-centimeter breast masses can be coupled with machine learning to differentiate benign from malignant lesions using model-free parameter maps. METHODS: In this retrospective study, BRCA-positiv...

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Detalles Bibliográficos
Autores principales: Lo Gullo, Roberto, Daimiel, Isaac, Rossi Saccarelli, Carolina, Bitencourt, Almir, Gibbs, Peter, Fox, Michael J., Thakur, Sunitha B., Martinez, Danny F., Jochelson, Maxine S., Morris, Elizabeth A., Pinker, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Breast
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599163/
https://www.ncbi.nlm.nih.gov/pubmed/32594207
http://dx.doi.org/10.1007/s00330-020-06991-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599163/
https://www.ncbi.nlm.nih.gov/pubmed/32594207
http://dx.doi.org/10.1007/s00330-020-06991-7

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