Perspectives of images superimposition principle use during the registration of peri-implant bone dynamic changes.

Authors

  • A. T. Kenyuk Uzhhorod National University, Ukraine

DOI:

https://doi.org/10.26641/1997-9665.2016.3.180-187

Keywords:

superimposition, bone resorption, peri-implant region

Abstract

Background. Analysis of peri-implant bone level changes with the use of superimposition principle is argumented by the specific remodeling process of bone structure under various mechanical loads, and justified by the possibilities of graphic images modalities provided by cone-beam computer tomography. Objective. To provide a retrospective analysis of superimposition principle use in dental practice according to the literature data and to develop adapted approach for peri-implant bone changes evaluation by a graphical investigation algorithm of CT scanning results. Methods.Retrospective analysis of the literature was provided with the use of Google Scholar and keyword search principle using words "superimposition", "dental", "tomography" as main references. DICOM-files of patients who have undergone the procedure of dental implantation at the University Dental Clinic (Uzhgorod National University) were used as objects of the experimental study. Files of .dcm format were converted to the .stl format with the use of Invesalius 3 software (CentrodeTecnologiadaInformaçãoRenatoArcher). Superimposition of STL model was provided in Geomagic®Control™ by the function of ‘‘Bestfitalignment”. Individualized volumetric bone loss at peri-implant region was calculated by the formula: Vind = Vc.u. * HU (where Vind–an individual volume reduction of bone tissue, an indicator of bone resorption level defined by superimposition principle, and HU - an indicator of bone density defined in terms of Hounsfield units). Results. Principle of image superimposition is a partial representation of the superposition method, which allows to impose the studied areas with the possibility of their segmental analysis and discrete comparison for the visualization and objectification of changes in a particular anatomical region. Proposed algorithm of STL files superimposition formed from DICOM results of CT-scanning provides an adaptive approach for evaluation of individual volume reduction of bone tissue in conventional units due to the offered novel formula. Conclusion. Practical use of super imposition principle can be effective during the verification of residual ridge changes after dental implantation with the ability to register dynamics of bone remodeling processes at different time’s periods after iatrogenic intervention. Thus, the use of such evaluation algorithm may not only deploy settings of bone loss at the peri-implant area, but also expands the opportunities to evaluate the effect of comprehensive iatrogenic and biological factors on circular bone loss around dental implant, which can be registered only with use of computed tomography method.

References

  1. Doi K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput Med Imaging Graph. 2007 Jun-Jul;31(4-5):198-211. DOI: 10.1016/j.compmedimag.2007.02.002
  2. Iglehart JK. The new era of medical imaging: progress and pitfalls. N Engl J Med. 2006 Jun 29;354(26):2822-8. DOI: 10.1056/NEJMhpr061219
  3. Patel N. Integrating three-dimensional digital technologies for comprehensive implant dentistry. J Am Dent Assoc. 2010 Jun;141 Suppl 2:20S-4S. DOI: 10.14219/jada.archive.2010.0357
  4. Vandenberghe B, Jacobs R, Bosmans H. Modern dental imaging: a review of the current technology and clinical applications in dental prac-tice. Eur Radiol. 2010 Nov;20(11):2637-55. doi: 10.1007/s00330-010-1836-1.
  5. Dawood A, Patel S, Brown J. Cone beam CT in dental practice. Br Dent J. 2009 Jul 11;207(1):23-8. doi: 10.1038/sj.bdj.2009.560.
  6. Benavides E, Rios HF, Ganz SD, An CH, Resnik R, Reardon GT, Feldman SJ, Mah JK, Hatcher D, Kim MJ, Sohn DS, Palti A, Perel ML, Judy KW, Misch CE, Wang HL. Use of cone beam computed tomography in implant dentistry: the International Congress of Oral Implantologists consensus report. Implant Dent. 2012 Apr;21(2):78-86. doi: 10.1097/ID.0b013e31824885b5.
  7. Farman AG, Scarfe WC. Development of imaging selection criteria and procedures should precede cephalometric assessment with cone-beam computed tomography. Am J Orthod Dentofacial Orthop. 2006 Aug;130(2):257-65. DOI: 10.1016/j.ajodo.2005.10.021
  8. Brown J, Jacobs R, Levring Jäghagen E, Lindh C, Baksi G, Schulze D, Schulze R; European Academy of DentoMaxilloFacial Radiology. Basic training requirements for the use of dental CBCT by dentists: a position paper prepared by the European Academy of DentoMaxilloFacial Radiology. Dentomaxillofac Radiol. 2014;43(1):20130291. doi: 10.1259/dmfr.20130291.
  9. Cevidanes LH, Bailey LJ, Tucker SF, Styner MA, Mol A, Phillips CL, Proffit WR, Turvey T. Three-dimensional cone-beam computed tomography for assessment of mandibular changes after orthognathic surgery. Am J Orthod Dentofacial Orthop. 2007 Jan;131(1):44-50. DOI: 10.1016/j.ajodo.2005.03.029
  10. Cevidanes LH, Styner MA, Proffit WR. Image analysis and superimposition of 3-dimensional cone-beam computed tomography models. Am J Orthod Dentofacial Orthop. 2006 May;129(5):611-8. DOI: 10.1016/j.ajodo.2005.12.008
  11. Johansen RJ, Michael Bowers C. Positive dental identification using tooth anatomy and digital superimposition. J Forensic Sci. 2013 Mar;58(2):534-6. doi: 10.1111/1556-4029.12040.
  12. Beaini TL, Duailibi-Neto EF, Chilvarquer I, Melani RF. Human identification through frontal sinus 3D superimposition: Pilot study with Cone Beam Computer Tomography. J Forensic Leg Med. 2015 Nov;36:63-9. doi: 10.1016/j.jflm.2015.09.003.
  13. Park JI, Yoon TH. A three-dimensional im-age-superimposition CAD/CAM technique to record the position and angulation of the implant abutment screw access channel. J Prosthet Dent. 2013 Jan;109(1):57-60. doi: 10.1016/S0022-3913(13)60013-X.
  14. Hernández-Alfaro F, Guijarro-Martinez R. New protocol for three-dimensional surgical plan-ning and CAD/CAM splint generation in orthognathic surgery: an in vitro and in vivo study. Int J Oral Maxillofac Surg. 2013 Dec;42(12):1547-56. doi: 10.1016/j.ijom.2013.03.025.
  15. Hart RT. Bone modeling and remodeling: theories and computation. In: Bone mechanics handbook; 2nd ed.; chapter 31. Boca Raton, FL: CRC Press; 2001. p. 1–42.
  16. Chou HY, Jagodnik JJ, Müftü S. Predictions of bone remodeling around dental implant systems. J Biomech. 2008;41(6):1365-73. doi: 10.1016/j.jbiomech.2008.01.032.
  17. Frost HM. A 2003 update of bone physiology and Wolff's Law for clinicians. Angle Orthod. 2004 Feb;74(1):3-15. DOI: 10.1043/0003-3219(2004)074<0003:AUOBPA>2.0.CO;2
  18. Carter DR, Beaupré GS. Skeletal function and form: mechanobiology of skeletal development, aging, and regeneration. Cambridge University Press; 2007. 318 p.
  19. Riddle WR., Pickens DR. Extracting data from a DICOM file. Med Phys. 2005 Jun;32(6):1537-41. DOI: 10.1118/1.1916183.
  20. Grauer D, Cevidanes LS, Proffit WR. Working with DICOM craniofacial images. Am J Orthod Dentofacial Orthop. 2009 Sep;136(3):460-70. doi: 10.1016/j.ajodo.2009.04.016.
  21. De Angelis D, Cattaneo C, Grandi M. Dental superimposition: a pilot study for standardising the method. Int J Legal Med. 2007 Nov;121(6):501-6. DOI: 10.1007/s00414-007-0198-y.
  22. Eliášová H, Krsek P. Superimposition and projective transformation of 3D object. Forensic Sci Int. 2007 Apr 11;167(2-3):146-53. DOI: 10.1016/j.forsciint.2006.06.062
  23. Isidor F. Influence of forces on peri‐implant bone. Clin Oral Implants Res. 2006 Oct;17 Suppl 2:8-18. DOI: 10.1111/j.1600-0501.2006.01360.x
  24. Lin D, Li Q, Li W, Swain M. Dental implant induced bone remodeling and associated algorithms. J Mech Behav Biomed Mater. 2009 Oct;2(5):410-32. doi: 10.1016/j.jmbbm.2008.11.007.
  25. Sakima MT, Sakima CG, Melsen B. The validity of superimposing oblique cephalometric radiographs to assess tooth movement: an implant study. Am J Orthod Dentofacial Orthop. 2004 Sep;126(3):344-53. DOI: 10.1016/j.ajodo.2003.07.018
  26. Tai K, Park JH, Mishima K, Hotokezaka H. Using superimposition of 3-dimensional cone-beam computed tomography images with surface-based registration in growing patients. J Clin Pediatr Dent. 2010 Summer;34(4):361-7. DOI: 10.17796/jcpd.34.4.w8n6321878105431
  27. Ahmad R, Abu‐Hassan MI, Li Q, Swain MV. Three dimensional quantification of mandibular bone remodeling using standard tessellation language registration based superimposition. Clin Oral Implants Res. 2013 Nov;24(11):1273-9. doi: 10.1111/j.1600-0501.2012.02566.x.
  28. Sezgin OS, Kayıpmaz S, Sahin B. The effect of slice thickness on the assessment of bone defect volumes by the Cavalieri principle using cone beam computed tomography. J Digit Imaging. 2013 Feb;26(1):115-8. doi: 10.1007/s10278-012-9480-8.

How to Cite

Kenyuk, A. T. (2016). Perspectives of images superimposition principle use during the registration of peri-implant bone dynamic changes. Морфологія / Morphologia / Morfologìâ, 10(3), 180–187. https://doi.org/10.26641/1997-9665.2016.3.180-187

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