A novel methodology for analysing dental implant positional changes from virtual planning to placement without CBCT

Area of Science:

• Dental Implantology
• Medical Imaging Analysis
• Surgical Planning Technology

Background:

• Traditional methods for analyzing dental implant positioning often rely on post-placement cone beam computed tomography (CBCT) scans.
• These methods have limitations related to scanner resolution and approximations.
• There is a need for more precise and reliable assessment of in vivo implant positioning.

Purpose of the Study:

• To introduce a novel methodology for analyzing dental implant positioning in vivo.
• To overcome the limitations of traditional CBCT-based analysis.
• To enhance the precision and accuracy of dental implant placement assessment.

Main Methods:

• Comparing stereolithography (STL) files of pre-planned and actual post-placement implant positions.
• Utilizing pose detection technology for analysis, independent of scanner resolution.
• Focusing on clinically significant key points, such as apical and coronal midpoints.

Main Results:

• The novel method provides a more precise and accurate assessment of implant positions compared to CBCT approximations.
• The approach is independent of scanner technology constraints, aligning with international standards.
• Potential for detailed reporting of apical deviations enhances implant placement accuracy.

Conclusions:

• The developed methodology significantly improves the precision of dental implant placement.
• Automated report generation through batch scripting enhances efficiency and accuracy.
• This innovation paves the way for future advancements in implantology, increasing reliability.