Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer

BACKGROUND: There is a need to improve prediction of response to chemotherapy in breast cancer in order to improve clinical management and this may be achieved by harnessing computational metrics of tissue pathology. We investigated the association between quantitative image metrics derived from com...

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Detalles Bibliográficos
Autores principales: Ali, H. Raza, Dariush, Aliakbar, Provenzano, Elena, Bardwell, Helen, Abraham, Jean E., Iddawela, Mahesh, Vallier, Anne-Laure, Hiller, Louise, Dunn, Janet. A., Bowden, Sarah J., Hickish, Tamas, McAdam, Karen, Houston, Stephen, Irwin, Mike J., Pharoah, Paul D. P., Brenton, James D., Walton, Nicholas A., Earl, Helena M., Caldas, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755003/
https://www.ncbi.nlm.nih.gov/pubmed/26882907
http://dx.doi.org/10.1186/s13058-016-0682-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755003/
https://www.ncbi.nlm.nih.gov/pubmed/26882907
http://dx.doi.org/10.1186/s13058-016-0682-8

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