A novel methodology for analysing dental implant positional changes

It allows for a more precise and accurate assessment of implant positions, independent of CBCT.

09 October, 2024 / infocus
 Will Peakin  

A novel methodology for analysing dental implant positioning in vivo, advancing beyond traditional methods that rely on post-placement cone beam computed tomography (CBCT) scans, has been outlined in a paper published by the British Dental Journal.

The core of the methodology is comparing stereolithography (STL) files, representing pre-planned and actual post-placement implant positions. These STL files, exported from guided surgery planning and computer-aided design software, focus on clinically significant key points, like the apical and coronal midpoints. Additionally, the method uses pose detection, differing fundamentally from CBCT scan approximations.

Relying on pose detection instead of scanner resolution, this method aligns with international standards and overcomes CBCT and intra-oral scanner limitations. It allows for a more precise and accurate assessment of implant positions, independent of scanner technology constraints. Further refinements include potential detailed reporting of apical deviations, enhancing implant placement accuracy.

This research has significant implications for dental implantology, says the author, enhancing implant placement precision and overall procedure success. Introducing an automated process for report generation through a batch script improves efficiency and precision, streamlining the analysis process. This innovation sets the stage for future technological advancements, improving both the accuracy and reliability of implant placement assessments.

Key points

  • Improved precision: the methodology enhances the accuracy of dental implant positioning verification by comparing pre-planned and actual implant positions using stereolithography files and pose detection, rather than approximation through cone beam computed tomography (CBCT) overlaid with pre-planned position.
  • Reduced radiation exposure: this approach eliminates the need for post-placement CBCT scans, significantly reducing overall patient radiation exposure and bypassing ethical considerations in taking both a pre-planned and post-surgery CBCT.
  • Efficient analysis: an automated process for generating detailed results streamlines the evaluation of implant positions, promoting efficiency in clinical practice.
  • Overcomes scanner limitations: using pose detection technology provides a more precise assessment of implant positions, independent of the limitations of CBCT and intra-oral scanners.

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