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A novel method for testing accuracy of bite registration using intraoral scanners

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초록

Objective: The evidence on the accuracy of bite registration using intraoral scanners is sparse. This study aimed to develop a new method for evaluating bite registration accuracy using intraoral scanners. Methods: Two different types of models were used; 10 stone models and 10 with acrylic resin teeth. A triangular frame with cylindrical posts at each apex (one anterior and two posteriors) was digitally designed and manufactured using three-dimensional (3D) printing. Such a structure was fitted in the lingual space of each maxillary and mandibular model so that, in occlusion, the posts would contact their opposing counterparts, enforcing a small interocclusal gap between the two arches. This ensured no tooth interference and full contact between opposing posts. Bite registration accuracy was evaluated by measuring the distance between opposing posts, with small values indicating high-accuracy. Three intraoral scanners were used: Medit i500, Primescan, and Trios 4. Viewbox software was used to measure the distance between opposing posts and compute roll and pitch. Results: The average maximum error in interocclusal registration exceeded 50 μm. Roll and pitch orientation errors ranged above 0.1 degrees, implying an additional interocclusal error of around 40 μm or more. The models with acrylic teeth exhibited higher errors. Conclusions: A method that avoids the need for reference hardware and the imprecision of locating reference points on tooth surfaces, and offers simplicity in the assessment of bite registration with an intraoral scanner, was developed. These results suggest that intraoral scanners may exhibit clinically significant errors in reproducing the interocclusal relationships.

Abstract

Objective: The evidence on the accuracy of bite registration using intraoral scanners is sparse. This study aimed to develop a new method for evaluating bite registration accuracy using intraoral scanners. Methods: Two different types of models were used; 10 stone models and 10 with acrylic resin teeth. A triangular frame with cylindrical posts at each apex (one anterior and two posteriors) was digitally designed and manufactured using three-dimensional (3D) printing. Such a structure was fitted in the lingual space of each maxillary and mandibular model so that, in occlusion, the posts would contact their opposing counterparts, enforcing a small interocclusal gap between the two arches. This ensured no tooth interference and full contact between opposing posts. Bite registration accuracy was evaluated by measuring the distance between opposing posts, with small values indicating high-accuracy. Three intraoral scanners were used: Medit i500, Primescan, and Trios 4. Viewbox software was used to measure the distance between opposing posts and compute roll and pitch. Results: The average maximum error in interocclusal registration exceeded 50 μm. Roll and pitch orientation errors ranged above 0.1 degrees, implying an additional interocclusal error of around 40 μm or more. The models with acrylic teeth exhibited higher errors. Conclusions: A method that avoids the need for reference hardware and the imprecision of locating reference points on tooth surfaces, and offers simplicity in the assessment of bite registration with an intraoral scanner, was developed. These results suggest that intraoral scanners may exhibit clinically significant errors in reproducing the interocclusal relationships.

참고문헌 (34)

  1. Francesco Mangano, "Intraoral scanners in dentistry: a review of the current literature", BMC Oral Health, 17(1), pp.149~ (2017), Springer Science and Business Media LLC[DOI]
  2. Abduo J, "Accuracy of intraoral scanners : a systematic review of influencing factors", Eur J Prosthodont Restor Dent, 26, pp.101~121 (2018)[DOI]
  3. Saloni Kachhara, "Assessment of intraoral scanning technology for multiple implant impressions – A systematic review and meta-analysis", The Journal of Indian Prosthodontic Society, 20(2), pp.141~152 (2020), Medknow[DOI]
  4. Cecilia Goracci, "Accuracy, reliability, and efficiency of intraoral scanners for full-arch impressions: a systematic review of the clinical evidence", The European Journal of Orthodontics, 38(4), pp.422~428 (2015), Oxford University Press (OUP)[DOI]
  5. Gabriele Rossini, "Diagnostic accuracy and measurement sensitivity of digital models for orthodontic purposes: A systematic review", American Journal of Orthodontics and Dentofacial Orthopedics, 149(2), pp.161~170 (2016), Elsevier BV[DOI]
  6. Pekka Ahlholm, "Digital Versus Conventional Impressions in Fixed Prosthodontics: A Review", Journal of Prosthodontics, 27(1), pp.35~41 (2016), Wiley[DOI]
  7. [URL]
  8. R. Nedelcu, "Accuracy and precision of 3 intraoral scanners and accuracy of conventional impressions: A novel in vivo analysis method", Journal of Dentistry, 69, pp.110~118 (2018), Elsevier BV[DOI]
  9. Jonas Winkler, "Trueness and precision of intraoral scanners in the maxillary dental arch: an in vivo analysis", Scientific Reports, 10(1), pp.1172~ (2020), Springer Science and Business Media LLC[DOI]
  10. Andreas Ender, "In vivo precision of conventional and digital methods of obtaining complete-arch dental impressions", The Journal of Prosthetic Dentistry, 115(3), pp.313~320 (2016), Elsevier BV[DOI]
  11. F. Kuhr, "A new method for assessing the accuracy of full arch impressions in patients", Journal of Dentistry, 55, pp.68~74 (2016), Elsevier BV[DOI]
  12. Faraj Edher, "The accuracy of virtual interocclusal registration during intraoral scanning", The Journal of Prosthetic Dentistry, 120(6), pp.904~912 (2018), Elsevier BV[DOI]
  13. Raul Ayuso‐Montero, "Reliability and Validity of T‐scan and 3D Intraoral Scanning for Measuring the Occlusal Contact Area", Journal of Prosthodontics, 29(1), pp.19~25 (2019), Wiley[DOI]
  14. A. Gintaute, "Precision of maxillo-mandibular registration with intraoral scanners in vitro", Journal of Prosthodontic Research, 64(2), pp.114~119 (2020), Japan Prosthodontic Society[DOI]
  15. 박지만, "Accuracy comparison of buccal bite scans by five intra-oral scanners", 구강회복응용과학지, 34(1), pp.17~31 (2018), 대한턱관절교합학회[DOI]
  16. Kuan Yee Wong, "Three‐Dimensional Accuracy of Digital Static Interocclusal Registration by Three Intraoral Scanner Systems", Journal of Prosthodontics, 27(2), pp.120~128 (2017), Wiley[DOI]
  17. Keyan P. Botsford, "Precision of the virtual occlusal record", The Angle Orthodontist, 89(5), pp.751~757 (2019), The Angle Orthodontist (EH Angle Education & Research Foundation)[DOI]
  18. Saraa Abdulateef, "Clinical accuracy and reproducibility of virtual interocclusal records", The Journal of Prosthetic Dentistry, 124(6), pp.667~673 (2020), Elsevier BV[DOI]
  19. Hong Li, "Influence of object translucency on the scanning accuracy of a powder-free intraoral scanner: A laboratory study", The Journal of Prosthetic Dentistry, 117(1), pp.93~101 (2017), Elsevier BV[DOI]
  20. Jihu Song, "Accuracy on Scanned Images of Full Arch Models with Orthodontic Brackets by Various Intraoral Scanners in the Presence of Artificial Saliva", BioMed Research International, 2020, pp.1~8 (2020), Hindawi Limited[DOI]
  21. Ryan EA, "Comparative translucency of esthetic composite resin restorative materials", J Can Dent Assoc, 76, pp.a84~ (2010)[DOI]
  22. Audrea Dallazem Nogueira, "The effect of a coupling medium on color and translucency of CAD–CAM ceramics", Journal of Dentistry, 41(Suppl 3), pp.e18~e23 (2013), Elsevier BV[DOI]
  23. Michael Kurz, "Influence of material surface on the scanning error of a powder-free 3D measuring system", Clinical Oral Investigations, 19(8), pp.2035~2043 (2015), Springer Science and Business Media LLC[DOI]
  24. Joon Im, "Comparison of virtual and manual tooth setups with digital and plaster models in extraction cases", American Journal of Orthodontics and Dentofacial Orthopedics, 145(4), pp.434~442 (2014), Elsevier BV[DOI]
  25. Jed C. Hildebrand, "Evaluation of a software program for applying the American Board of Orthodontics objective grading system to digital casts", American Journal of Orthodontics and Dentofacial Orthopedics, 133(2), pp.283~289 (2008), Elsevier BV[DOI]
  26. Peter A. Costalos, "Evaluation of the accuracy of digital model analysis for the American Board of Orthodontics objective grading system for dental casts", American Journal of Orthodontics and Dentofacial Orthopedics, 128(5), pp.624~629 (2005), Elsevier BV[DOI]
  27. Troy R. Okunami, "Assessing the American Board of Orthodontics objective grading system: Digital vs plaster dental casts", American Journal of Orthodontics and Dentofacial Orthopedics, 131(1), pp.51~56 (2007), Elsevier BV[DOI]
  28. P.J. Besl, "A method for registration of 3-D shapes", IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2), pp.239~256 (1992), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  29. Amit Arvind Rajbhoj, "Dental changes in humans with untreated normal occlusion throughout lifetime: A systematic scoping review", American Journal of Orthodontics and Dentofacial Orthopedics, 160(3), pp.340~362.e3 (2021), Elsevier BV[DOI]
  30. Y Iwaki, "Dimensional Accuracy of Optical Bite Registration in Single and Multiple Unit Restorations", Operative Dentistry, 38(3), pp.309~315 (2013), Operative Dentistry[DOI]
  31. Resnik RR, "Misch's avoiding complications in oral implantology" (2018), Mosby
  32. Yongsik Kim, "Occlusal considerations in implant therapy: clinical guidelines with biomechanical rationale", Clinical Oral Implants Research, 16(1), pp.26~35 (2004), Wiley[DOI]
  33. Shannon Owens, "Masticatory performance and areas of occlusal contact and near contact in subjects with normal occlusion and malocclusion", American Journal of Orthodontics and Dentofacial Orthopedics, 121(6), pp.602~609 (2002), Elsevier BV[DOI]
  34. Ronald L. Sakaguchi, "Digital Imaging of Occlusal Contacts in the Intercuspal Position", Journal of Prosthodontics, 3(4), pp.193~197 (1994), Wiley[DOI]

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