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Marta Revilla-León1,2,3, Aishwa Gohil4, Abdul B Barmak5

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Area of Science:

  • Digital dentistry
  • Dental prosthetics
  • Computer-aided design/computer-aided manufacturing (CAD/CAM)

Background:

  • Accurate virtual casts are crucial for digital dental workflows.
  • Various best-fit (BF) algorithms exist for aligning digital models.
  • Understanding their influence on alignment accuracy is essential.

Purpose of the Study:

  • To evaluate how different best-fit (BF) algorithms affect virtual cast alignment.
  • To compare the accuracy of entire dataset BF, landmark-based BF (3 or 6 points), and section-based BF algorithms.

Main Methods:

  • A mandibular typodont was scanned using industrial and intraoral scanners.
  • Four alignment groups were established: entire dataset BF, landmark-based BF (3 and 6 points), and section-based BF.
  • Root mean square (RMS) error, trueness, and precision were calculated and analyzed using ANOVA and Tukey tests.

Main Results:

  • Significant differences in RMS error, trueness, and precision were found across all BF algorithm groups (p < 0.001).
  • Entire dataset BF and section-based BF groups demonstrated the highest trueness and precision.
  • Landmark-based BF with 6 points showed the lowest trueness and precision.

Conclusions:

  • The choice of best-fit algorithm significantly influences virtual cast alignment discrepancies.
  • Entire dataset and section-based BF algorithms yield superior alignment accuracy over landmark-based methods.
  • These findings are critical for optimizing digital dental workflows and prosthodontic treatments.