Computer Assisted Immunohistochemical Score Prediction Via Simplified Image Acquisition Technique

Salam N Jawad; Bashar H Abdullah

doi:10.12816/0038631

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Published: 2017-03-13

DOI: https://doi.org/10.12816/0038631

Salam N Jawad

Bashar H Abdullah

Abstract

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 observerâ€™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 ImagejÂ® 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.

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Issue

Vol. 29 No. 1 (2017)

Section

Oral Diagnosis

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How to Cite

1.

Jawad SN, Abdullah BH. Computer Assisted Immunohistochemical Score Prediction Via Simplified Image Acquisition Technique. J Bagh Coll Dent [Internet]. 2017 Mar. 13 [cited 2024 Dec. 22];29(1):83-8. Available from: https://jbcd.uobaghdad.edu.iq/index.php/jbcd/article/view/1745