This study – “Agreement analysis between manual and computational scoring of Ki-67 in breast cancer” – evaluates the correlation between pathologist and computer-assisted scoring using the HiPath Pro platform.
Results revealed a high intraclass correlation (ICC=0.917) and an exceptionally strong correlation coefficient (r=0.973) between manual and computational assessments. The Cohen’s Kappa values (>0.85) across all comparisons confirm excellent agreement, establishing ASI’s computational scoring as a reliable additional observer for routine practice.
These findings reinforce ASI’s vision to advance digital pathology through validated, computer-driven quantification tools – enhancing diagnostic precision, reproducibility, and efficiency across laboratories worldwide.