An 84-year-old scoring technique pathologists
use to diagnose and stage breast cancer is getting a 21st-century
update from
a computer model called Computational Pathologist
(C-Path), which uses digital imagery and computer software to analyze
more
than 6,000 cell and tissue features faster and in more
depth than the pathologist’s eye peering through a microscope.
“It would not replace human
pathologists, but there are things a computer can do easier than a
human,” said radiation oncologist
Frances Wong, M.D., chief physician for the Fraser
Valley (British Columbia) Cancer Centres. Wong did not participate in
C-Path’s
development, but she reviewed a study about it from
research teams at Stanford, Harvard, the University of British Columbia
(UBC), and the Academic Medical Center in Amsterdam.
According to a study in the November 2011 Science Translational Medicine, C-path generated prognostic scores that were “strongly associated with overall survival” in 576 patients from the Netherlands
Cancer Institute (NKI) and Vancouver General Hospital (VGH).
The best histological
predictors of patient survival are not from the carcinoma itself, but
from adjacent stromal connective
tissue. Women with worse breast cancer outcomes tended
to have inflammatory and epithelial cells in distinct, thin cords
infiltrating
the stroma.
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