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...
| Publicado en: | Breast Cancer Research Vol. 18; pp. 1 - 12 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , |
| Formato: | research randomized controlled trial Journal Article |
| Publicado: |
BioMed Central
2/16/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |