Imaging Science in Dentistry

Korean Academy of Oral and Maxillofacial Radiology (대한영상치의학회)
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Prediction of age-related osteoporosis using fractal analysis on panoramic radiographs

  • Koh, Kwang-Joon (Department of Oral and Maxillofacial Radiology, School of Dentistry, and Institute of Oral Bio Science, Chonbuk National University) ;
  • Park, Ha-Na (Department of Oral and Maxillofacial Radiology, School of Dentistry, and Institute of Oral Bio Science, Chonbuk National University) ;
  • Kim, Kyoung-A (Department of Oral and Maxillofacial Radiology, School of Dentistry, and Institute of Oral Bio Science, Chonbuk National University)
  • Received : 2012.05.29
  • Accepted : 2012.07.26
  • Published : 2012.12.31
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Abstract

Purpose: This study was performed to evaluate the trabecular pattern on panoramic radiographs to predict age-related osteoporosis in postmenopausal women. Materials and Methods: Thirty-one postmenopausal osteoporotic women and 25 postmenopausal healthy women between the ages of 50 and 88 were enrolled in this study. The bone mineral density (BMD) of the lumbar vertebrae and femur were calculated using dual-energy X-ray absorptiometry (DXA), and panoramic radiographs were obtained. Fractal dimension (FD) was measured using the box counting method from 560 regions of interest ($51{\times}51$ pixels) in 6 sites on the panoramic radiographs. The relationships between age and BMD and between FD and BMD were assessed, and the intraobserver agreement was determined. Results: There was a significant difference in the FD values between the osteoporotic and normal groups (p<0.05). There was a significant difference in the FD values at three sites in the jaws (p<0.05). Age was significantly correlated with the BMD measurements, with an odds ratio of 1.25. However, the FD values were not significantly correlated with the BMD measurements, with an odds ratio of 0.000. The intraobserver agreement showed relatively higher correlation coefficients at the upper premolar, lower premolar, and lower anterior regions than the other sites. Conclusion: Age was an important risk factor for predicting the presence of osteoporosis in postmenopausal women. The lower premolar region was the most appropriate site for evaluating the FD value on panoramic radiographs. However, further investigation might be needed to predict osteoporosis using an FD value on panoramic radiographs.

Keywords

References

  1. Verheij JG, Geraets WG, van der Stelt PF, Horner K, Lindh C, Nicopoulou-Karayianni K, et al. Prediction of osteoporosis with dental radiographs and age. Dentomaxillofac Radiol 2009; 38 : 431-7. https://doi.org/10.1259/dmfr/55502190
  2. Geraets WG, van der Stelt PF. Fractal properties of bone. Dentomaxillofac Radiol 2000; 29 : 144-53. https://doi.org/10.1038/sj.dmfr.4600524
  3. F, Akgunlu F. The differences in panoramic mandibular indices and fractal dimension between patients with and without spinal osteoporosis. Dentomaxillofac Radiol 2006; 35 : 1-9. https://doi.org/10.1259/dmfr/97652136
  4. Horner K, Karayianni K, Mitsea A, Berkas L, Mastoris M, Jacobs R, et al. The mandibular cortex on radiographs as a tool for osteoporosis risk assessment: the OSTEODENT Project. J Clin Densitom 2007; 10 : 138-46. https://doi.org/10.1016/j.jocd.2007.02.004
  5. Karayianni K, Horner K, Mitsea A, Berkas L, Mastoris M, Jacobs R, et al. Accuracy in osteoporosis diagnosis of a combination of mandibular cortical width measurement on dental panoramic radiographs and a clinical risk index (OSIRIS): the OSTEODENT project. Bone 2007; 40 : 223-9. https://doi.org/10.1016/j.bone.2006.07.025
  6. Horner K, Devlin H, Alsop CW, Hodgkinson IM, Adams JE. Mandibular bone mineral density as a predictor of skeletal osteoporosis. Br J Radiol 1996; 69 : 1019-25. https://doi.org/10.1259/0007-1285-69-827-1019
  7. Taguchi A, Suei Y, Sanada M, Ohtsuka M, Nakamoto T, Sumida H, et al. Validation of dental panoramic radiography measures for identifying postmenopausal women with spinal osteoporosis. AJR Am J Roentgenol 2004; 183 : 1755-60. https://doi.org/10.2214/ajr.183.6.01831755
  8. Nackaerts O, Jacobs R, Devlin H, Pavitt S, Bleyen E, Yan B, et al. Osteoporosis detection using intraoral densitometry. Dentomaxillofac Radiol 2008; 37 : 282-7. https://doi.org/10.1259/dmfr/30424604
  9. Kim JY, Jung YH, Nah KS. Prediction of osteoporosis using fractal analysis on periapical and panoramic radiographs. Korean J Oral Maxillofac Radiol 2008; 38 : 147-51.
  10. Ruttimann UE, Ship JA. The use of fractal geometry to quantitate bone structure from radiographs. J Dent Res 1990; 69 : 287 (Abstr 1431).
  11. Jolley L, Majumdar S, Kapila S. Technical factors in fractal analysis of periapical radiographs. Dentomaxillofac Radiol 2006; 35 : 393-7. https://doi.org/10.1259/dmfr/30969642
  12. 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. https://doi.org/10.1016/S1079-2104(99)70097-1
  13. Amer ME, Heo MS, Brooks SL, Benavides E. Anatomical variations of trabecular bone structure in intraoral radiographs using fractal and particles count analyses. Imaging Sci Dent 2012; 42 : 5-12. https://doi.org/10.5624/isd.2012.42.1.5
  14. WHO Scientific Group on Research on the Menopause in the 1990s. WHO technical report series 866: research on the menopause in the 1990s. Geneva: World Health Organization; 1996.
  15. 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. https://doi.org/10.1067/moe.2002.128972
  16. Otis LL, Hong JS, Tuncay OC. Bone structure effect on root resorption. Orthod Craniofac Res 2004; 7 : 165-77. https://doi.org/10.1111/j.1601-6343.2004.00282.x
  17. 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. https://doi.org/10.1111/j.1365-2362.2004.01300.x
  18. Chen SK, Oviir T, Lin CH, Leu LJ, Cho BH, Hollender L. Digital imaging analysis with mathematical morphology and fractal dimension for evaluation of periapical lesions following endodontic treatment. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2005; 100 : 467-72. https://doi.org/10.1016/j.tripleo.2005.05.075
  19. Ergun S, Saracoglu A, Guneri P, and Ozpinar B. Application of fractal analysis in hyperthyroidism. Dentomaxillofac Radiol 2009; 38 : 281-8. https://doi.org/10.1259/dmfr/24986192
  20. Southard TE, Southard KA, Jakobsen JR, Hillis SL, Najim CA. Fractal dimension in radiographic analysis of alveolar process bone. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 1996; 82 : 569-76. https://doi.org/10.1016/S1079-2104(96)80205-8
  21. 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. https://doi.org/10.1016/S1079-2104(97)90303-6
  22. An BM, Heo MS, Lee SP, Lee SS, Choi SC, Park TW, et al. Effect of exposure time and image resolution on fractal dimension. Korean J Oral Maxillofac Radiol 2002; 32 : 75-9.
  23. Chappard C, Brunet-Imbault B, Lemineur G, Giraudeau B, Basillais A, Harba R, et al. Anisotropy changes in post-menopausal osteoporosis: characterization by a new index applied to trabecular bone radiographic images. Osteoporos Int 2005; 16 : 1193-202. https://doi.org/10.1007/s00198-004-1829-5
  24. Veenland JF, Grashuis JL, Gelsema ES. Texture analysis in radiographs: the influence of modulation transfer function and noise on the discriminative ability of texture features. Med Phys 1998; 25 : 922-36. https://doi.org/10.1118/1.598271

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