Computer‐assisted analysis of immunohistological parameters in oral giant cell granulomas

• DOI: 10.1111/odi.13022
• Publication Date: 2018-12-19T07:14:20Z
• Authors: Jin Hyeok Yoon; Mengtao Li; John R. Basile; Yi‐Ling Lin
• Keywords: Immunofluorescence

Abstract Objective The aim of this study was to examine the relationship between active osteoclasts, as defined by positive nuclear NFATc1 signals, and clinical behaviors oral giant cell granulomas. Materials And Methods immunohistochemical TRAP‐Cbfa1 double immunofluorescence stainings were performed on 9 cases peripheral granulomas (PGCGs), central (CGCGs) with a recurrent history, 10 CGCGs without history. results photographed quantified ImageJ. Nine osteoclast‐ osteoblast‐related parameters analyzed conventional statistics Rapidminer, an open data analysis platform for computer predictive modeling. Results Peripheral had significantly lower percentage osteoclasts than CGCGs. CGCG subgroup highest osteoclast density in comparison non‐recurrent PCCGs. Conclusions strongly indicates that status subcellular signal, has association behavior staining may be useful biomarker predict recurrence also illustrates potential application science tools studying pathology facilitate discovery disease‐associated biomarkers.