Development and validation of a python-based pont’s index analysis tool: A technical validation study

• Author Details:   
• Vinay V Bedre ^*
• Sushil Mahajan
• Trilok Shrivastav

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Background: Pont’s Index is a very well know and important index in orthodontics, this index remains an integral tool for assessing dental arch proportionality, yet manual calculations are prone to errors and time-intensive. This study describes the development and validation of a Python-based application for standardized arch dimension analysis.
Materials and Methods: The application was developed using Python Tkinter, implementing Pont’s original methodology with mandibular conversion logic. Validation included 50 arch analyses (25 simulated, 25 clinical) evaluated by three orthodontists. Reliability was assessed using intraclass correlation (ICC) and calculation accuracy metrics.
Results: The tool demonstrated perfect reliability (ICC = 1.00, 95% CI: 0.99–1.00) with manual calculations. Analysis time decreased from 3.5 ± 0.9 minutes (manual) to 0.4 ± 0.1 minutes (automated). Clinical interpretations showed 96% agreement with expert judgment.
Conclusion: This digital Pont’s analyzer improves diagnostic efficiency while maintaining analytical precision, particularly valuable for initial arch assessment in orthodontic treatment planning.