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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Bibliografische gegevens
Gepubliceerd in:Breast Cancer Res
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2016
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Research Article
Online toegang: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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