Digital model superimpositions: are different software algorithms equally accurate in quantifying linear tooth movements?

Samar M Adel, Nikhilesh R Vaid, Nadia El-Harouni, Hassan Kassem, Abbas R Zaher, Samar M Adel, Nikhilesh R Vaid, Nadia El-Harouni, Hassan Kassem, Abbas R Zaher

Abstract

Background: To evaluate the accuracy of three different 3D digital model registration software packages for linear tooth movement measurements, with reference to a 3D digital virtual setup (DS).

Methods: Twenty maxillary and mandibular pre-treatment scans of patients undergoing clear aligner therapy were used. Digital Setups were generated from pre-treatment scans using OrthoAnalyzer software. Both the pretreatment digital scans (T1) and Digital Setups (T2) were converted to STL files to be imported to the three studied software packages: Geomagic, OrthoAnalyzer and Compare. Linear changes in tooth positions were calculated for all the registered pairs.

Results: The change in tooth position was compared between the calculated tooth movement using each of the registration software packages versus the actual generated tooth movement from the Digital Setups. Continuous data was expressed as mean and standard deviation. Intraclass Correlation Coefficients for agreements between Digital Simulation and each software was used. Intra and Inter-examiner reliabilities were also assessed using Intraclass Correlation Coefficients. Significance of the obtained results was expressed at p ≤ 0.01. Geomagic software showed agreements > 0.90 for maxillary linear tooth movements and between 0.75 and 0.90 for mandibular measurements. OrthoAnalyzer software showed agreements between 0.50 and < 0.75 for maxillary and mandibular measurements. Compare software showed agreements > 0.90 for maxillary and mandibular linear tooth movements, indicating the best consistency.

Conclusions: Compare and Geomagic software packages consistently showed maximum accuracy in measuring the amount of tooth movement in the maxillary arch compared to the reference standard. Compare software showed the highest agreements in the mandibular arch. None of the three studied software packages showed poor agreement with the Digital Setup across all tooth movement measurements. Buccolingual tooth movements showed the highest agreements amongst linear measurements.

Keywords: 3D digital models; 3D tooth movement; Aligner therapy; Digital Setup; Digital orthodontics; Registration; Scanning.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Research flowchart
Fig. 2
Fig. 2
Segmentation of teeth and virtual tooth movements during Digital Setup generation
Fig. 3
Fig. 3
Registration of a maxillary models, b mandibular models, c corresponding heat maps by Geomagic software. Three points on the medial ends of third and second rugae areas in the maxillary arch and three points on the mucogingival junction (MGJ) between first premolar and second premolar, second premolar and first molar, first molar and second molar were selected as reference landmarks, followed by a global and fine regional surface registration
Fig. 4
Fig. 4
Registration of a maxillary models, b mandibular models with corresponding heat maps by OrthoAnalyzer software. In the maxillary arch, three points on the medial ends of third and second rugae areas, plus an area of the palate limited anteriorly by the medial 2/3 of the third rugae and laterally by two lines parallel to the mid-palatal suture were used as the landmark. In the mandibular arch, three points on the MGJ between first premolar and second premolar, second premolar and first molar, first molar and second molar, plus an area 1 mm above and below the selected points on the MGJ
Fig. 5
Fig. 5
Registration of maxillary models and mandibular models by Compare software. a Global alignment of maxillary and mandibular T2 (orange) over T1 model (white). b Superimposition of individual segmented teeth from T2 (green) over the unsegmented T1 model (white). c Placement of coordinates at the center of resistance of each tooth

References

    1. Hayashi K, Uechi J, Lee S-P, Mizoguchi I. Three-dimensional analysis of orthodontic tooth movement based on XYZ and finite helical axis systems. Eur J Orthod. 2007;29:589–595.
    1. Gkantidis N, Schauseil M, Pazera P, Zorkun B, Katsaros C, Ludwig B. Evaluation of 3-dimensional superimposition techniques on various skeletal structures of the head using surface models. PLoS ONE. 2015;10:e0118810.
    1. Stucki S, Gkantidis N. Assessment of techniques used for superimposition of maxillary and mandibular 3D surface models to evaluate tooth movement: a systematic review. Eur J Orthod. 2020;42:559–570.
    1. Vaid NR. Digital technologies in orthodontics 2013; an update. Semin Orthod. 2018;24:373–375.
    1. Haouili N, Kravitz ND, Vaid NR, Ferguson DJ, Makki L. Has Invisalign improved? A prospective follow-up study on the efficacy of tooth movement with Invisalign. Am J Orthod Dentofacial Orthop. 2020;158:420–425.
    1. Cha BK, Choi JI, Jost-Brinkmann PG, Jeong YM. Applications of three-dimensionally scanned models in orthodontics. Int J Comput Dent. 2007;10:41–52.
    1. De Luca CG, Pachêco-Pereira C, Lagravere MO, Flores-Mir C, Major PW. Intra-arch dimensional measurement validity of laser-scanned digital dental models compared with the original plaster models: a systematic review. Orthod Craniofac Res. 2015;18:65–76.
    1. Camardella LT, Ongkosuwito EM, Penning EW, Kuijpers-Jagtman AM, Vilella OV, Breuning KH. Accuracy and reliability of measurements performed using two different software programs on digital models generated using laser and computed tomography plaster model scanners. Korean J Orthod. 2020;50:13–25.
    1. Araújo TM, Fonseca LM, Caldas LD, Costa-Pinto RA. Preparation and evaluation of orthodontic setup. Dental Press J Orthod. 2012;17:146–165.
    1. Grauer D, Proffit WR. Accuracy in tooth positioning with a fully customized lingual orthodontic appliance. Am J Orthod Dentofacial Orthop. 2011;140:433–443.
    1. Vasilakos G, Schilling R, Halazonetis D. Assessment of different techniques for 3D superimposition of serial digital maxillary dental casts on palatal structures. Sci Rep. 2017;7:5838.
    1. Talaat S, Kaboudan A, Bourauel C, Ragy N, Kula K, Ghoneima A. Validity and reliability of three-dimensional palatal superimposition of digital dental models. Eur J Orthod. 2017;39:365–370.
    1. Ganzer N, Feldmann I, Liv P, Bondemark L. A novel method for superimposition and measurements on maxillary digital 3D models-studies on validity and reliability. Eur J Orthod. 2018;40:45–51.
    1. Bichu YM, Hansa I, Bichu AY, Premjani P, Flores-Mir C, Vaid NR. Applications of artificial intelligence and machine learning in orthodontics: a scoping review. Prog Orthod. 2021;22:18.
    1. Vaid NR. Artificial Intelligence (AI) driven orthodontic care: a quest toward utopia? Semin Orthod. 2021;27:57–61.
    1. Oliveira FP, Tavares JM. Medical image registration: a review. Comput Methods Biomech Biomed Engin. 2014;17:73–93.
    1. Geomagic. Geomagic design X user guide (2013). .
    1. 3 Shape Ortho System. OrthoAnalyzer 2012 User Manual (2012). .
    1. Awad MG, Ellouze S, Ashley S, Vaid N, Makki L, Ferguson DJ. Accuracy of digital predictions with CAD/CAM labial and lingual appliances: a retrospective cohort study. Semin Orthod. 2018;24:393–406.
    1. Thiruvenkatachari B, Al-Abdallah M, Akram NC, Sandler J, O'Brien K. Measuring 3-dimensional tooth movement with a 3-dimensional surface laser scanner. Am J Orthod Dentofacial Orthop. 2009;135:480–485.
    1. Choi JI, Cha BK, Jost-Brinkmann PG, Choi DS, Jang IS. Validity of palatal superimposition of 3-dimensional digital models in cases treated with rapid maxillary expansion and maxillary protraction headgear. Korean J Orthod. 2012;42:235–241.
    1. Chen G, Chen S, Zhang XY, Jiang RP, Liu Y, Shi FH, et al. Stable region for maxillary dental cast superimposition in adults, studied with the aid of stable miniscrews. Orthod Craniofac Res. 2011;14:70–79.
    1. Jang I, Tanaka M, Koga Y, Iijima S, Yozgatian JH, Cha BK, et al. A novel method for the assessment of three-dimensional tooth movement during orthodontic treatment. Angle Orthod. 2009;79:447–453.
    1. An K, Jang I, Choi DS, Jost-Brinkmann PG, Cha BK. Identification of a stable reference area for superimposing mandibular digital models. J Orofac Orthop. 2015;76:508–519.
    1. Kottner J, Audigé L, Brorson S, Donner A, Gajewski BJ, Hróbjartsson A, et al. Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. J Clin Epidemiol. 2011;64:96–106.
    1. Talaat S, Kaboudan A, Breuning H, Ragy N, Elshebiny T, Kula K, et al. Reliability of linear and angular dental measurements with the OrthoMechanics Sequential Analyzer. Am J Orthod Dentofacial Orthop. 2015;147:264–269.
    1. Walter S, Eliasziw M, Donner A. Sample size and optimal designs for reliability studies. Stat Med. 1998;17:101–110.
    1. Daskalogiannakis J. Glossary of orthodontic terms Chicago: Quintessence Pub. Co. (2000). .
    1. Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155–163.
    1. Gandedkar NH, Vaid NR, Darendeliler MA, Premjani P, Ferguson DJ. The last decade in orthodontics: a scoping review of the hits, misses and the near misses! Semin Orthod. 2019;25:339–355.
    1. Cha BK, Lee JY, Jost-Brinkmann PG, Yoshida N. Analysis of tooth movement in extraction cases using three-dimensional reverse engineering technology. Eur J Orthod. 2007;29:325–331.
    1. Sandler J, Thiruvenkatachari B, Gutierrez R. Measuring molar movement: a reliable technique. APOS Trends Orthod. 2017;7:63.
    1. Grünheid T, Loh C, Larson BE. How accurate is invisalign in nonextraction cases? Are predicted tooth positions achieved? Angle Orthod. 2017;87:809–815.
    1. Sachdev S, Tantidhnazet S, Saengfai NN. Accuracy of tooth movement with in-house clear aligners. J World Fed Orthod. 2021;10:177–182.
    1. Chong DR, Jang YJ, Chun YS, Jung SH, Lee SK. The evaluation of rotational movements of maxillary posterior teeth using three dimensional images in cases of extraction of maxillary first premolar. Korean J Orthod. 2005;35:451–458.
    1. Chen J, Li S, Fang S. Quantification of tooth displacement from cone-beam computed tomography images. Am J Orthod Dentofacial Orthop. 2009;136:393–400.
    1. Camardella LT, Rothier EK, Vilella OV, Ongkosuwito EM, Breuning KH. Virtual setup: application in orthodontic practice. J Orofac Orthop. 2016;77:409–419.
    1. Barreto MS, Faber J, Vogel CJ, Araujo TM. Reliability of digital orthodontic setups. Angle Orthod. 2016;86:255–259.
    1. Shukla D, Chowdhry A, Bablani D, Jain P, Thapar R. Establishing the reliability of palatal rugae pattern in individual identification (following orthodontic treatment) J Forensic Odontostomatol. 2011;29:20–29.
    1. Ioshida M, Muñoz BA, Rios H, Cevidanes L, Aristizabal JF, Rey D, et al. Accuracy and reliability of mandibular digital model registration with use of the mucogingival junction as the reference. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2019;127:351–360.
    1. Ashmore JL, Kurland BF, King GJ, Wheeler TT, Ghafari J, Ramsay DS. A 3-dimensional analysis of molar movement during headgear treatment. Am J Orthod Dentofacial Orthop. 2002;121:18–29.
    1. Choi DS, Jeong YM, Jang I, Jost-Brinkmann PG, Cha BK. Accuracy and reliability of palatal superimposition of three-dimensional digital models. Angle Orthod. 2010;80:497–503.
    1. Garib D, Miranda F, Yatabe MS, Lauris JRP, Massaro C, McNamara JA, Jr, et al. Superimposition of maxillary digital models using the palatal rugae: does ageing affect the reliability? Orthod Craniofac Res. 2019;22:183–193.
    1. Pomerleau F, Colas F, Siegwart R, Magnenat S. Comparing ICP variants on real-world data sets. Auton Robots. 2013;34:133–148.
    1. Lai EH, Yao CC, Chang JZ, Chen I, Chen YJ. Three-dimensional dental model analysis of treatment outcomes for protrusive maxillary dentition: comparison of headgear, miniscrew, and miniplate skeletal anchorage. Am J Orthod Dentofacial Orthop. 2008;134:636–645.

Source: PubMed

3
Sottoscrivi