Gingival inflammation assessment by image analysis: measurement and validation

Area of Science:

• Periodontology
• Biomedical Imaging
• Dental Diagnostics

Background:

• Gingival inflammation, often caused by injury or plaque, necessitates reliable measurement tools for recovery assessment.
• Current methods for measuring gingival condition are limited, highlighting the need for innovative, non-index approaches.
• Assessing gingival health is crucial for monitoring treatment efficacy and patient outcomes.

Purpose of the Study:

• To evaluate the reliability of using image analysis to measure changes in gingival redness and swelling.
• To compare the novel image analysis method with an established technique for assessing gingival overgrowth.
• To introduce a potentially more objective and efficient method for gingival condition assessment.

Main Methods:

• Digital images of gingival inflammation were captured from 20 volunteers before and after periodontal treatment.
• Duplicate measurements of gingival redness and visible tooth surface area were performed by two examiners.
• Image analysis results were statistically compared with measurements from a standard gingival overgrowth assessment method.

Main Results:

• The image analysis method demonstrated excellent intra- and inter-examiner reliability (0.968-0.998 and 0.769-0.947, respectively).
• High correlation was observed between the image analysis measurements of gingival encroachment and the established gingival overgrowth method.
• The technique proved highly reliable for quantifying changes in gingival redness.

Conclusions:

• Image analysis is a reliable technique for assessing changes in gingival redness and swelling.
• The developed method shows high correlation with established gingival overgrowth assessment, suggesting its clinical utility.
• This approach offers a promising, objective tool for monitoring gingival health and recovery.