Computer-assisted pathological immunohistochemistry scoring is more time-effective than conventional scoring, but provides no analytical advantage.

AIMS: Interpretation of immunohistochemistry is primarily done through human visual scoring while computer-assisted scoring is relatively uncommon. This study aimed to examine (i) the level of agreement between human visual and computer-assisted pathological scoring of immunoreactivity expression in colorectal cancers, (ii) whether computer-assisted scoring affects the prognostic significance of biomarkers, and (iii) whether computer-assisted pathological scoring provides any time-saving or reproducibility advantages. METHODS AND
RESULTS: Tissue microarray blocks were constructed from the primary colorectal adenocarcinoma specimens of 486 patients. Scoring of the six markers [cytokeratin (CK) 7, CK20, cyclooxygenase-2, Ki67, p27 and p53] was done independently by a qualified pathologist, a trained scientist and the Ariol SL-50 (Applied Imaging). Univariate analysis showed that human visual and computer-assisted scoring were strongly correlated (all kappa values >0.8). Both human visual and computer-assisted pathological scoring identified the same set of biomarkers with significant association with survival. Computer-assisted pathological scoring was shown to be a time-effective means of scoring larger numbers of slides (for high-throughput studies).
CONCLUSIONS: Our results suggest that computer-assisted pathological scoring can be a viable alternative to pathologist scoring in a manner that is more practical and time-effective, but, interestingly, providing no analytical advantage.