MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer

BACKGROUND: To use clinical and MRI radiomic features coupled with machine learning to assess HER2 expression level and predict pathologic response (pCR) in HER2 overexpressing breast cancer patients receiving neoadjuvant chemotherapy (NAC). METHODS: This retrospective study included 311 patients. p...

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Detalles Bibliográficos
Autores principales: Bitencourt, Almir G.V., Gibbs, Peter, Rossi Saccarelli, Carolina, Daimiel, Isaac, Lo Gullo, Roberto, Fox, Michael J., Thakur, Sunitha, Pinker, Katja, Morris, Elizabeth A., Morrow, Monica, Jochelson, Maxine S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648120/
https://www.ncbi.nlm.nih.gov/pubmed/33039708
http://dx.doi.org/10.1016/j.ebiom.2020.103042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648120/
https://www.ncbi.nlm.nih.gov/pubmed/33039708
http://dx.doi.org/10.1016/j.ebiom.2020.103042

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