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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Detalhes bibliográficos
Publicado no:Breast Cancer Res
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2016
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4755003/
https://ncbi.nlm.nih.gov/pubmed/26882907
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13058-016-0682-8
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