Panoramik Radyografilerde Sahte Renklendirme ile Osteoporozun Değerlendirilmesi

Abstract

Amaç: Bu çalışmanın amacı panoramik radyografiler üzerinden sahte renklendirme yapılarak mandibular kortikal indekse (MKI) dayalı olarak osteoporozun değerlendirilmesidir. Gereç ve Yöntemler: Bu çalışma xxxxxxxxx Üniversitesi Diş Hekimliği Fakültesi, Ağız, Diş ve Çene Radyolojisi arşivinde yer alan 300 adet panoramik radyografinin retrospektif olarak taranmasıyla gerçekleştirilmiştir. Çalışma kapsamında değerlendirilen panoramik radyografilerde MKI’ya göre C1, C2, C3 skorları belirlenmiş, sonraki aşamada ImageJ programı kullanılarak sahte renklendirme ile skorlar arası farklılıklar görsel olarak incelenmiştir. C1-C2-C3 skorlarına karşılık gelen piksel değerlerinin farklılıkları Kruskal-Wallis testi ile analiz edilmiştir. Verilerin analizinde SPSS v21.0 (IBM Corp, Armonk, NY, USA) programı kullanılmıştır. Test sonuçları p<0,05 anlamlılık düzeyine göre değerlendirilmiştir. Bulgular: C1-C2-C3 skorlarına ait osteoporotik değişimler sahte renklendirilmiş panoramik görüntüler üzerinde görsel olarak ayırt edilememiştir. Yapılan histogram analizinde elde edilen numerik densite değerlerine göre ise C1-C2-C3 skorları arasında anlamlı farklılık tespit edilmiştir (p<0.05). C3 en yüksek densite değerine sahiptir, onu sırası ile C2 ve C1 izlemektedir (C3>C2>C1). Sonuç: Image J programı kullanılarak elde edilen sahte renklendirilmiş görüntüler panoramik radyografiler üzerinden osteoporotik değişimlerin MKI’ya göre görsel ayrımında başarılı değildir ancak skorlar arası farklılıklar histogram analizi numerik olarak ortaya konabilmektedir. Anahtar kelimeler: Mandibular kortikal indeks, osteoporoz, panoramik radyografi, sahte renklendirme

Keywords

• Mandibular kortikal indeks
• osteoporoz
• panoramik radyografi
• sahte renklendirme
• Mandibular cortical index
• osteoporosis
• panoramic radiography
• pseudocoloring

The Evaluation of Osteoporosis with Pseudocolor Imaging on Panoramic Radiographs

Abstract

Objective: The aim of this study is to evaluate osteoporosis based on mandibular cortical index (MCI) by performing pseudocoloring on panoramic radiographs. Material and Methods: This study was carried out by retrospectively scanning 300 panoramic radiographs in the archive of xxxxxxxx University Faculty of Dentistry, Dentomaxillofacial Radiology. In the panoramic radiographs evaluated within the scope of the study, C1, C2, C3 scores were determined according to MKI, and in the next step, the differences between pseudocoloring and scores were visually examined using ImageJ program. Differences of pixel values corresponding to C1-C2-C3 scores were analyzed by Kruskal-Wallis test. SPSS v21.0 (IBM Corp, Armonk, NY, USA) program was used in the analysis of the data. Test results were evaluated according to p<0.05 significance level. Results: Osteoporotic changes of C1-C2-C3 scores could not be visually distinguished on pseudocolored panoramic images. According to the numerical density values obtained in the histogram analysis, a significant difference was found between C1-C2-C3 scores (p<0.05). C3 has the highest density value, followed by C2 and C1 respectively (C3>C2>C1). Conclusion: Pseudocolored images obtained by using Image J program are not successful in visually distinguishing osteoporotic changes according to MKI on panoramic radiographs, but the differences between scores can be demonstrated numerically by histogram analysis. Keywords: Mandibular cortical index, osteoporosis, panoramic radiography, pseudocoloring

Keywords

• Mandibular kortikal indeks
• osteoporoz
• panoramik radyografi
• sahte renklendirme
• Mandibular cortical index
• osteoporosis
• panoramic radiography
• pseudocoloring

References

1. 1. National Institutes of Health. Osteoporosis prevention, diagnosis, and therapy. NIH consensus statement 2000; 17(1), 1-36.
2. 2. Mohammad A, Alder M, McNally MA. A pilot study of panoramic film density at selected sites in the mandible to predict osteoporosis. International journal of prosthodontics 1996; 9(3).
3. 3. Caliri A, De Filippis L, Bagnato GL, Bagnato GF. Osteoporotic fractures: mortality and quality of life. Panminerva medica 2007; 49(1), 21.
4. 4. Gennari L, Becherini L, Falchetti A, Masi L, Massart F, Brandi ML. Genetics of osteoporosis: role of steroid hormone receptor gene polymorphisms. The Journal of steroid biochemistry and molecular biology 2002; 81(1), 1-24.
5. 5. Halling A, Persson GR, Berglund J, Johansson O, Renvert S. Comparison between the Klemetti index and heel DXA BMD measurements in the diagnosis of reduced skeletal bone mineral density in the elderly. Osteoporosis international 2005; 16(8), 999-1003.
6. 6. Tözüm TF, Taguchi A, Nohutcu RM. Panoramik Radyografik inceleme ile Osteoporoz Arasındaki ilişkinin değerlendirilmesi. Hacettepe Diş Hekimliği Fakültesi Dergisi 2004; 28(3), 22-28.
7. 7. Koh KJ, Park HN, Kim KA. Prediction of age-related osteoporosis using fractal analysis on panoramic radiographs. Imaging Sci Dent 2012; 42, 231–235.
8. 8. Hwang JJ, Lee JH, Han SS, Kim YH, Jeong HG, Choi YJ, et al. Strut analysis for osteoporosis detection model using dental panoramic radiography. Dentomaxillofacial Radiology 2017; 46, 20170006-10.

9. 9. Taguchi A, Tanimoto K, Suei Y, Wada T. Tooth loss and mandibular osteopenia. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology 1995; 79(1), 127-132.
10. 10. Benson BW, Prihoda TJ, Glass BJ. Variations in adult cortical bone mass as measured by a panoramic mandibular index. Oral surgery, oral medicine, oral pathology 1991; 71(3), 349-356.
11. 11. Taguchi A, Tanimoto K, Suei Y, Otani K, Wada T. Oral signs as indicators of possible osteoporosis in elderly women. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology 1995; 80(5), 612-616.
12. 12. Klemetti E, Kolmakow S. Morphology of the mandibular cortex on panoramic radiographs as an indicator of bone quality. Dentomaxillofacial Radiology 1997; 26(1), 22-25.
13. 13. Horner K, Devlin H. The relationships between two indices of mandibular bone quality and bone mineral density measured by dual energy X-ray absorptiometry. Dentomaxillofacial Radiology 1998; 27(1), 17-21.
14. 14. Drozdzowska B, Pluskiewicz W, Tarnawska B. Panoramic-based mandibular indices in relation to mandibular bone mineral density and skeletal status assessed by dual energy X-ray absorptiometry and quantitative ultrasound. Dentomaxillofacial Radiology 2002; 31(6), 361-367.
15. 15. Zlatarić DK, Čelebić A. Clinical bone densitometric evaluation of the mandible in removable denture wearers dependent on the morphology of the mandibular cortex. The Journal of prosthetic dentistry 2003; 90(1), 86-91.
16. 16. Şener E, Baksı BG. Sağlıklı ve osteoporoz tanılı hastalarda fraktal boyut ve mandibular kortikal indeks değerlendirilmesi. Ege Üniversitesi Diş hekimliği Fakültesi Dergisi 2016; 37(3), 159–167
17. 17. Bollen AM, Taguchi A, Hujoel PP, Hollender LG. Fractal dimension on dental radiographs. Dentomaxillofacial Radiology 2001; 30(5), 270-275.
18. 18. Klemetti E, Kolmakov S, Kröger H. Pantomography in assessment of the osteoporosis risk group. European Journal of Oral Sciences 1994; 102(1), 68-72.
19. 19. Şatır S, Büyükçavuş MH, Sarı ÖF, Çimen T. A novel approach to radiographic detection of growth development period with hand‐wrist radiographs: A preliminary study with ImageJ imaging software. Orthodontics & Craniofacial Research 2022; 26(1), 100-106.
20. 20. Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nature methods 2012; 9(7), 671-675.
21. 21. Gonzalez RC. Digital image processing. Pearson education india 2009
22. 22. Geiger M, Blem G, Ludwig A. Evaluation of ImageJ for relative bone density measurement and clinical application. J Oral Health Craniofac Sci 2016; 1(1), 12-21.
23. 23. Moyano M. The pseudocolor in digital radiographic image. Diagnosis of demineralization in dental calcified tissues. [thesis]. Universidad Nacional de Rosario; 2012.
24. 24. Mohtavipour ST, Javadzadeh Haghighat AS, Mohtavipour SS, Dalili Kajan Z, Shahsavari F, Alimohammadi H. Efficacy of Pseudocolor Tool of Digital System in the Detection of Proximal Caries. Journal of Dentomaxillofacial 2015; 4(4), 31-35.
25. 25. Li G, Engström PE, Welander U. Measurement accuracy of marginal bone level in digital radiographs with and without color coding. Acta Odontologica Scandinavica 2007; 65(5), 254-258.
26. 26. Scarfe WC, Czerniejewski VJ, Farman AG, Avant SL, Molteni R. In vivo accuracy and reliability of color-coded image enhancements for the assessment of periradicular lesion dimensions. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology 1999; 88(5), 603-611.
27. 27. Satir S, Buyukcavus MH, Orhan K. A novel approach to radiographic detection of bucco-palatal/lingual dilacerations: A preliminary study with ImageJ. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2021; 235(11), 1310-1314.