Computer assisted immunohistochemical score prediction via simplified image acquisition technique

Abstract EN

Background : techniques of image analysis have been used extensively to minimize interobserver variation of immunohistochemical scoring, yet; image acquisition procedures are often demanding, expensive and laborious.

This study aims to assess the validity of image analysis to predict human observer’s score with a simplified image acquisition technique.

Materials and methods : formalin fixed- paraffin embedded tissue sections for ameloblastomas and basal cell carcinomas were immunohistochemically stained with monoclonal antibodies to MMP-2 and MMP-9.

The extent of antibody positivity was quantified using Imagej® based application on low power photomicrographs obtained with a conventional camera.

Results of the software were employed to predict human visual scoring results with stepwise multiple regression analysis.

Results : the overall prediction of epithelial score depicted as r square value was 0.26 (p<0.001) which was obviously higher than that of stromal score (0.10; p<0.01).

Epithelial and stromal MMP-2 score prediction was generally higher than that of MMP-9.

Collectively, ameloblastomas had a more efficient score prediction compared to basal cell carcinomas.

Conclusion : there is a considerable variability in the prediction capacity of the technique with respect to different antibodies, different tumors and cellular versus stromal score.