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

@inproceedings{Ali2016ComputationalPO,
  title={Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer},
  author={Hamid Raza Ali and Aliakbar Dariush and Elena Provenzano and Helen A. Bardwell and Jean E. Abraham and Mahesh Iddawela and A. L. Vallier and Louise Hiller and Janet. A. Dunn and Sarah Jane Bowden and Tamas Hickish and Karen McAdam and Stephen J. Houston and Mike J. Irwin and Paul D P Pharoah and James D. Brenton and Nicholas Walton and Helena Margaret Earl and Carlos Caldas},
  booktitle={Breast Cancer Research},
  year={2016}
}
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 computational analysis of digital pathology slides and response to chemotherapy in women with breast cancer who received neoadjuvant chemotherapy. We digitised tissue sections of both diagnostic and surgical… CONTINUE READING