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Original Research

Open Access

Evaluation of the Trabecular Structure of Mandibular Condyles in Children Using Fractal Analysis

  • Muge Bulut1,*,
  • Muge Tokuc1

1Istanbul Okan University, Faculty of Dentistry, Department of Pediatric Dentistry, Istanbul, Turkey

DOI: 10.17796/1053-4625-45.6.12 Vol.45,Issue 6,December 2021 pp.441-445

Published: 01 December 2021

*Corresponding Author(s): Muge Bulut E-mail: cimenmg@gmail.com muge.bulut@okan.edu.tr

Abstract

Objective: To evaluate the trabecular internal structure of the mandibular condyle with fractal analysis on panoramic radiography in children. Study Design: 159 panoramic radiographs were separated into 8 groups according to age and gender. The radiographs were standardized as 8-bit images. Regions of interest, located on both mandibular condyles, were selected as 64x64 pixel squares. Image J v1.50i software was used to obtain the fractal dimension (FD) values by the box-counting method. Results: The data obtained from the right and left condyles were analyzed in terms of gender and age groups. No statistically significant difference was observed between the genders in respect of the mean FD values for both condyles (p>0.05). Mean, standard deviations and the 95% confidence intervals for the FD values of the left and right condyles were obtained according to age. A statistically significant difference was observed in the mean FD values for both left (p= 0.019) and right (p= 0.000) condyles when all groups were compared and no statistically significant difference was found between all groups except the 6-year-old group for both condyles. In both condyles, the significantly lowest mean FD values were determined in the 6 years age group. Conclusions: The FD values of the mandibular condyle trabecular structure changed with age. It will be possible to evaluate these changes from panoramic radiographs by making calculations using the fractal analysis method.

Keywords

Children; Fractal analysis; Temporomandibular joint; Panoramic radiography

Cite and Share

Muge Bulut,Muge Tokuc. Evaluation of the Trabecular Structure of Mandibular Condyles in Children Using Fractal Analysis. Journal of Clinical Pediatric Dentistry. 2021. 45(6);441-445.

References

1. Merida-Velasco JR, Rodriguez-Vazquez JF, Merida-Velasco JA, Sanchez-Montesinos I, Espin-Ferra J, Jimenez-Collado J. Development of the human temporomandibular joint. Anat Rec. 1999;255:20-33.

2. Bender ME, Lipin RB, Goudy SL. Development of the Pediatric Temporomandibular Joint. Oral Maxillofac Surg Clin North Am. 2018;30:1-9.

3. Bag AK, Gaddikeri S, Singhal A, Hardin S, Tran BD, Medina JA et al. Imaging of the temporomandibular joint: An update. World J Radiol. 2014;6:567-82.

4. Subcommittee AAoPDCAC—TJPiC, Affairs AAoPDCoC. Guideline on acquired temporomandibular disorders in infants, children, and adolescents. Pediatric Dent. 2005;27:156-7.

5. Sanchez-Molina D, Velazquez-Ameijide J, Quintana V, Arregui-Dalmases C, Crandall JR, Subit D et al. Fractal dimension and mechanical properties of human cortical bone. Medical engineering & physics. 2013;35:576-82.

6. Ergun S, Saracoglu A, Guneri P, Ozpinar B. Application of fractal analysis in hyperparathyroidism. Dentomaxillofac Radiol. 2009;38:281-8.

7. Pothuaud L, Benhamou CL, Porion P, Lespessailles E, Harba R, Levitz P. Fractal dimension of trabecular bone projection texture is related to three-dimensional microarchitecture. J Bone Miner Res. 2000;15:691-9.

8. Wilding RJ, Slabbert JC, Kathree H, Owen CP, Crombie K, Delport P. The use of fractal analysis to reveal remodelling in human alveolar bone following the placement of dental implants. Arch Oral Biol. 1995;40:61-72.

9. Shrout MK, Potter BJ, Hildebolt CF. The effect of image variations on fractal dimension calculations. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1997;84:96-100.

10. Shrout MK, Roberson B, Potter BJ, Mailhot JM, Hildebolt CF. A comparison of 2 patient populations using fractal analysis. J Periodontol. 1998;69:9-13.

11. Bollen AM, Taguchi A, Hujoel PP, Hollender LG. Fractal dimension on dental radiographs. Dentomaxillofac Radiol. 2001;30:270-5.

12. Tosoni GM, Lurie AG, Cowan AE, Burleson JA. Pixel intensity and fractal analyses: detecting osteoporosis in perimenopausal and postmenopausal women by using digital panoramic images. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2006;102:235-41.

13. Lopes R, Betrouni N. Fractal and multifractal analysis: a review. Med Image Anal. 2009;13:634-49.

14. Goldberger AL, West BJ. Fractals in physiology and medicine. Yale J Biol Med. 1987;60:421-35.

15. Morinushi T, Kawasaki H, Masumoto Y, Shigeta K, Ogura T, Takigawa M. Examination of the diagnostic value and estimation of the chaos phenomenon in masticatory movement using fractal dimension in patients with temporomandibular dysfunction syndrome. J Oral Rehabil. 1998;25:386-94.

16. Sansare K, Singh D, Karjodkar F. Changes in the fractal dimension on pre-and post-implant panoramic radiographs. Oral Radiology. 2012;28:15-23.

17. Oliveira ML, Pedrosa EF, Cruz AD, Haiter-Neto F, Paula FJ, Watanabe PC. Relationship between bone mineral density and trabecular bone pattern in postmenopausal osteoporotic Brazilian women. Clin Oral Investig. 2013;17:1847-53.

18. Demirbas AK, Ergun S, Guneri P, Aktener BO, Boyacioglu H. Mandibular bone changes in sickle cell anemia: fractal analysis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2008;106:e41-8.

19. Zeytinoglu M, Ilhan B, Dundar N, Boyacioglu H. Fractal analysis for the assessment of trabecular peri-implant alveolar bone using panoramic radiographs. Clin Oral Investig. 2015;19:519-24.

20. White SC, Rudolph DJ. Alterations of the trabecular pattern of the jaws in patients with osteoporosis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1999;88:628-35.

21. Drummond JL, Thompson M, Super BJ. Fracture surface examination of dental ceramics using fractal analysis. Dent Mater. 2005;21:586-9.

22. Uchiyama T, Tanizawa T, Muramatsu H, Endo N, Takahashi HE, Hara T. Three-dimensional microstructural analysis of human trabecular bone in relation to its mechanical properties. Bone. 1999;25:487-91.

23. Parkinson IH, Fazzalari NL. Methodological principles for fractal analysis of trabecular bone. J Microsc. 2000;198:134-42.

24. Otis LL, Hong JS, Tuncay OC. Bone structure effect on root resorption. Orthod Craniofac Res. 2004;7:165-77.

25. Jolley L, Majumdar S, Kapila S. Technical factors in fractal analysis of periapical radiographs. Dentomaxillofac Radiol 2006;35:393-7.

26. Kato CN, Barra SG, Tavares NP, Amaral TM, Brasileiro CB, Mesquita RA et al. Use of fractal analysis in dental images: a systematic review. Dento-maxillofac Radiol. 2020;49:20180457.

27. Prouteau S, Ducher G, Nanyan P, Lemineur G, Benhamou L, Courteix D. Fractal analysis of bone texture: a screening tool for stress fracture risk?Eur J Clin Invest. 2004;34:137-42.

28. Southard TE, Southard KA, Krizan KE, Hillis SL, Haller JW, Keller J et al. Mandibular bone density and fractal dimension in rabbits with induced osteoporosis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2000;89:244-9.

29. dos Anjos Pontual ML, Freire JS, Barbosa JM, Frazao MA, dos Anjos Pontual A. Evaluation of bone changes in the temporomandibular joint using cone beam CT. Dentomaxillofac Radiol. 2012;41:24-9.

30. Heo MS, Park KS, Lee SS, Choi SC, Koak JY, Heo SJ et al. Fractal analysis of mandibular bony healing after orthognathic surgery. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2002;94:763-7.

31. Arsan B, Kose TE, Cene E, Ozcan I. Assessment of the trabecular structure of mandibular condyles in patients with temporomandibular disorders using fractal analysis. Oral Surg Oral Med Oral Pathol Oral Radiol. 2017;123:382-91.

32. Samarabandu J, Acharya R, Hausmann E, Allen K. Analysis of bone X-rays using morphological fractals. IEEE Trans Med Imaging. 1993;12:466-70.

33. Lee KI, Choi SC, Park TW, You DS. Fractal dimension calculated from two types of region of interest. Dentomaxillofac Radiol. 1999;28:284-9.

34. Guagnelli MA, Winzenrieth R, Lopez-Gonzalez D, McClung MR, Del Rio L, Clark P. Bone age as a correction factor for the analysis of trabecular bone score (TBS) in children. Arch Osteoporos. 2019;14:26.

35. Kawashima T, Abe S, Okada M, Kawada E, Saitoh C, Ide Y. Internal structure of the temporomandibular joint and the circumferential bone: compar-ison between dentulous and edentulous specimens. Bull Tokyo Dent Coll. 1997;38:87-93.

36. Kurusu A, Horiuchi M, Soma K. Relationship between occlusal force and mandibular condyle morphology. Evaluated by limited cone-beam computed tomography. Angle Orthod. 2009;79:1063-9.

37. Choi DY, Sun KH, Won SY, Lee JG, Hu KS, Kim KD et al. Trabecular bone ratio of the mandibular condyle according to the presence of teeth: a micro-CT study. Surg Radiol Anat. 2012;34:519-26.

38. Barrera LM, Buschang PH, Throckmorton GS, Roldan SI. Mixed longitudinal evaluation of masticatory performance in children 6 to 17 years of age. Am J Orthod Dentofacial Orthop. 2011;139:e427-34.

39. Shiere FR, Manly RS. The effect of the changing dentition on masticatory function. J Dent Res. 1952;31:526-34.


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