Volume 7, Issue 4 (10-2022)                   J Res Dent Maxillofac Sci 2022, 7(4): 210-218 | Back to browse issues page

Ethics code: IR.mums.REC.1392.209

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Imanimoghaddam M, Bagherpour A, Madani A, Foroozandeh M, Hafez Maleki F, Alimohammadi M et al . Correlation of Bone Mineral Density and Fractal Analysis of the Mandibular Condyle in Women with Temporomandibular Joint Osteoarthritis: A Pilot Study. J Res Dent Maxillofac Sci 2022; 7 (4) :210-218
URL: http://jrdms.dentaliau.ac.ir/article-1-394-en.html
1- Department of Oral and Maxillofacial Radiology, School of Dentistry, Mashhad University of Medical Sciences, Mashhad, Iran
2- Department of Oral and Maxillofacial Radiology, School of Dentistry, Mashhad University of Medical Sciences, Mashhad, Iran , bagherpoura@mums.ac.ir
3- Department of Prosthodontics, School of Dentistry, Mashhad University of Medical Sciences, Mashhad, Iran
4- Department of Oral and Maxillofacial Radiology, Dental School, Hamadan University of Medical Sciences, Hamadan, Iran
5- Department of Oral and Maxillofacial Radiology, School of Dentistry, Mazandaran University of Medical Sciences, Sari, Iran
Abstract:   (347 Views)
Background and Aim: Temporomandibular joint osteoarthritis (TMJOA) appears to be more common in osteoporotic patients. Fractal analysis is a mathematical method that can be used to assess trabecular bone. The aim of this study was to assess the correlation of bone mineral density (BMD) and fractal dimension (FD) of the condyles in women with TMJOA using cone-beam computed tomography (CBCT).  
Materials and Methods: In this cross-sectional study, the FD and lacunarity of the condylar head were assessed on CBCT images of 39 women (20 healthy women with no signs/symptoms of TMJOA, and 19 TMJOA patients). The BMD and the T-score of the hip and lumbar vertebrae were determined using dual energy X-ray absorptiometry. Data were analyzed by t-test, chi-square test, and Pearson’s correlation coefficient.
Results: TMJOA patients and healthy controls did not differ significantly in terms of the mean age (P=0.63), BMD and T-score (P>0.05), or FD and lacunarity (P>0.05). A significant correlation was observed, however, between lacunarity in the two condyles (r=0.47, P=0.003) and BMD of the lumbar vertebrae and the hip (r=0.40, P=0.01). 
   Conclusion: The mean BMD of total spine and hip did not differ significantly in the two groups of healthy controls and TMJOA patients. The FD and lacunarity also       showed no significant difference between the groups. FD based on CBCT images of the TMJ is not a reliable indicator for categorization of skeletal status.  
Full-Text [PDF 861 kb]   (176 Downloads) |   |   Full-Text (HTML)  (101 Views)  
Type of Study: Original article | Subject: Radiology

1. Cakur B, Dagistan S, Sahin A, Harorli A, Yilmaz A. Reliability of mandibular cortical index and mandibular bone mineral density in the detection of osteoporotic women. Dentomaxillofac Radiol. 2009 Jul;38(5):255-61. [DOI:10.1259/dmfr/22559806] [PMID]
2. Ling H, Yang X, Li P, Megalooikonomou V, Xu Y, Yang J. Cross gender-age trabecular texture analysis in cone beam CT. Dentomaxillofac Radiol. 2014;43(4):20130324. [DOI:10.1259/dmfr.20130324] [PMID] [PMCID]
3. Winzenberg T, Jones G. Dual energy X-ray absorptiometry. Aust Fam Physician. 2011 Jan-Feb;40(1-2):43-4.
4. Lee DH, Ku Y, Rhyu IC, Hong JU, Lee CW, Heo MS, Huh KH. A clinical study of alveolar bone quality using the fractal dimension and the implant stability quotient. J Periodontal Implant Sci. 2010 Feb;40(1):19-24. [DOI:10.5051/jpis.2010.40.1.19] [PMID] [PMCID]
5. Toghyani S, Nasseh I, Aoun G, Noujeim M. Effect of Image Resolution and Compression on Fractal Analysis of the Periapical Bone. Acta Inform Med. 2019 Sep;27(3):167-70. [DOI:10.5455/aim.2019.27.167-170] [PMID] [PMCID]
6. Geraets WG, Verheij JG, van der Stelt PF, Horner K, Lindh C, Nicopoulou-Karayianni K, Jacobs R, Harrison EJ, Adams JE, Devlin H. Prediction of bone mineral density with dental radiographs. Bone. 2007 May;40(5):1217-21. [DOI:10.1016/j.bone.2007.01.009] [PMID]
7. Hua Y, Nackaerts O, Duyck J, Maes F, Jacobs R. Bone quality assessment based on cone beam computed tomography imaging. Clin Oral Implants Res. 2009 Aug;20(8):767-71. [DOI:10.1111/j.1600-0501.2008.01677.x] [PMID]
8. Kayipmaz S, Akçay S, Sezgin ÖS, Çandirli C. Trabecular structural changes in the mandibular condyle caused by degenerative osteoarthritis: a comparative study by cone-beam computed tomography imaging. Oral Radiol. 2019 Jan;35(1):51-8. [DOI:10.1007/s11282-018-0324-1] [PMID]
9. Sánchez I, Uzcátegui G. Fractals in dentistry. J Dent. 2011 Apr;39(4):273-92. [DOI:10.1016/j.jdent.2011.01.010] [PMID]
10. Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012 Jul;9(7):671-5. [DOI:10.1038/nmeth.2089] [PMID] [PMCID]
11. 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 Nov;88(5): 628-35. [DOI:10.1016/S1079-2104(99)70097-1]
12. Binkovitz LA, Henwood MJ, Sparke P. Pediatric DXA: technique, interpretation and clinical applications. Pediatr Radiol. 2008 May;38 Suppl 2:S227-39. [DOI:10.1007/s00247-008-0808-y] [PMID]
13. Estrugo-Devesa A, Segura-Egea J, García-Vicente L, Schemel-Suárez M, Blanco-Carrrión Á, Jané-Salas E, López-López J. Correlation between mandibular bone density and skeletal bone density in a Catalonian postmenopausal population. Oral Surg Oral Med Oral Pathol Oral Radiol. 2018 May;125(5):495-502. [DOI:10.1016/j.oooo.2017.10.003] [PMID]
14. Esfahanizadeh N, Davaie S, Rokn AR, Daneshparvar HR, Bayat N, Khondi N, Ajvadi S, Ghandi M. Correlation between bone mineral density of jaws and skeletal sites in an Iranian population using dual X-ray energy absorptiometry. Dent Res J (Isfahan). 2013 Jul;10(4):460-6.
15. Povoroznyuk VV, Zaverukha NV, Musiienko AS. Bone mineral density and trabecular bone score in post-menopausal women with knee osteoarthritis and obesity. Wiad Lek. 2020;73(3):529-33. [DOI:10.36740/WLek202003124] [PMID]
16. Pham D, Jonasson G, Kiliaridis S. Assessment of trabecular pattern on periapical and panoramic radiographs: a pilot study. Acta Odontol Scand. 2010 Mar;68(2):91-7. [DOI:10.3109/00016350903468235] [PMID]
17. Haugen IK, Slatkowsky-Christensen B, Orstavik R, Kvien TK. Bone mineral density in patients with hand osteoarthritis compared to population controls and patients with rheumatoid arthritis. Ann Rheum Dis. 2007 Dec;66 (12):1594-8. [DOI:10.1136/ard.2006.068940] [PMID] [PMCID]
18. Kaul R, O'Brien MH, Dutra E, Lima A, Utreja A, Yadav S. The Effect of Altered Loading on Mandibular Condylar Cartilage. PLoS One. 2016 Jul 29;11(7):e0160121. [DOI:10.1371/journal.pone.0160121] [PMID] [PMCID]
19. Chen J, Gupta T, Barasz JA, Kalajzic Z, Yeh WC, Drissi H, Hand AR, Wadhwa S. Analysis of microarchitectural changes in a mouse temporomandibular joint osteoarthritis model. Arch Oral Biol. 2009 Dec;54(12):1091-8. [DOI:10.1016/j.archoralbio.2009.10.001] [PMID] [PMCID]
20. Cevidanes LH, Hajati AK, Paniagua B, Lim PF, Walker DG, Palconet G, Nackley AG, Styner M, Ludlow JB, Zhu H, Phillips C. Quantification of condylar resorption in temporomandibular joint osteoarthritis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2010 Jul;110(1):110-7. [DOI:10.1016/j.tripleo.2010.01.008] [PMID] [PMCID]
21. Ganguly P, El-Jawhari JJ, Giannoudis PV, Burska AN, Ponchel F, Jones EA. Age-related Changes in Bone Marrow Mesenchymal Stromal Cells: A Potential Impact on Osteoporosis and Osteoarthritis Development. Cell Transplant. 2017 Sep;26(9):1520-9. [DOI:10.1177/0963689717721201] [PMID] [PMCID]
22. Tonin RH, Iwaki Filho L, Grossmann E, Lazarin RO, Pinto GNS, Previdelli ITS, Iwaki LCV. Correlation between age, gender, and the number of diagnoses of temporomandibular disorders through magnetic resonance imaging: A retrospective observational study. Cranio. 2020 Jan;38(1): 34-42. [DOI:10.1080/08869634.2018.1476078] [PMID]
23. Moayyeri A, Soltani A, Khaleghnejad Tabari N, Sadatsafavi M, Hossein-Neghad A, Larijani B. Discordance in diagnosis of osteoporosis using spine and hip bone densitometry. BMC Endocr Disord. 2005;5(3):1-6. [DOI:10.1186/1472-6823-5-3] [PMID] [PMCID]
24. Gaalaas L, Henn L, Gaillard PR, Ahmad M, Islam MS. Analysis of trabecular bone using site-specific fractal values calculated from cone beam CT images. Oral Radiol. 2014; 30 (2):179-85. [DOI:10.1007/s11282-013-0163-z]
25. Yamada M, Ito M, Hayashi K, Sato H, Nakamura T. Mandibular condyle bone mineral density measurement by quantitative computed tomography: a gender-related difference in correlation to spinal bone mineral density. Bone. 1997 Nov;21(5):441-5. [DOI:10.1016/S8756-3282(97)00171-3]
26. Alkhader M, Aldawoodyeh A, Abdo N. Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study. Eur J Dent. 2018 Jul-Sep;12(3):363-8. [DOI:10.4103/ejd.ejd_272_17] [PMID] [PMCID]
27. Gumussoy I, Duman SB. Alternative cone-beam CT method for the analysis of mandibular condylar bone in patients with degenerative joint disease. Oral Radiol. 2020 Apr;36(2):177-82. [DOI:10.1007/s11282-019-00395-0] [PMID]

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2023 CC BY-NC 4.0 | Journal of Research in Dental and Maxillofacial Sciences

Designed & Developed by : Yektaweb