Oral Giant Cell Lesion Biomarker Data for Predicting Aggressiveness

Forty cases of central and peripheral giant cell lesions were analyzed for RANKL and OPG protein expression. The data includes histological and clinical parameters such as multinucleated giant cell counts, lesion size, and recurrence status. Geórgia Ribeiro Martini authored this research, which is available via paperswithcode.

Use Cases

• Predict lesion recurrence based on RANKL and OPG expression levels mentioned in the description
• Compare histological features between central and peripheral giant cell lesion types
• Investigate correlations between multinucleated giant cell nuclei counts and clinical outcomes

Strengths

• Includes 40 total cases (20 of each lesion type) for comparative analysis
• Quantifies immunoreactivity as a percentage of marked stromal area
• Clinical data sourced from pathoanatomical and medical reports

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified

Provenance

Source

Geórgia Ribeiro Martini

Collection Method

Immunohistochemical analysis of selected lesion cases and collection of clinical data from reports