journal article·2025-12-19Open access

Assessment of Radiographic Image Texture in the Maxilla and Mandible Around Titanium Inserts Used for Osteosynthesis of Dentofacial Deformities

Bożena Antonowicz, Marta Borowska, Kamila Łukaszuk, Łukasz Woźniak, Anna Zalewska, Alessia Distefano, Jan Borys

Abstract

Background: In the treatment of dentofacial deformities, miniplates and screws made of titanium and its alloys (Ti6Al4V) are currently used for osteosynthesis of bone segments, which is due to the high biocompatibility of these materials. Despite the unquestionable advantages of titanium implants, there is an ongoing discussion about their potential negative impact on the human body, both at the implantation site and systemically. This study aimed to assess the influence of titanium fixations (miniplates and screws) on the texture and to identify the texture features that vary in the surrounding bone tissue. Methods: The orthopantomograms were obtained from 20 patients who were treated at the Department of Maxillofacial and Plastic Surgery, University of Bialystok. Regions of Interest (ROIs) of bone tissue surrounding titanium fixations in the maxilla and mandible were annotated using separate masks and compared to healthy areas of the same structures in the same patients. The images were independently filtered using Mean, Median, and Laplacian Sharpening filters, followed by analysis of the texture parameters obtained through methods such as First-Order Statistics (FOS), the Gray-Level Co-occurrence Matrix (GLCM), Neighbouring Gray Tone Difference Matrix (NGTDM), Gray-Level Dependence Matrix (GLDM), Gray-Level Run Length Matrix (GLRLM), and Gray-Level Size Zone Matrix (GLSZM). Results: The results showed that FOS, GLCM, and GLDM provide the most informative features for quantitative assessment of the areas around titanium fixations, and that smoothing filters reduce measurement noise and artifacts. Conclusions: The findings confirm that texture analysis can support the diagnosis of structural alterations in the bone surrounding titanium fixations, in both the maxilla and mandible.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Dental Radiography and Imaging · Radiomics and Machine Learning in Medical Imaging · Facial Trauma and Fracture Management

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Dental Surgery, Medical University of Bialystok, 15-089 Bialystok, Poland

Institute of Biomedical Engineering, Faculty of Mechanical Engineering, Bialystok University of Technology, 15-351 Bialystok, Poland

Department of Maxillofacial and Plastic Surgery, Medical University of Bialystok, 15-089 Bialystok, Poland

Independent Laboratory of Experimental Dentistry, Medical University of Bialystok, 15-089 Bialystok, Poland

Department of Restorative Dentistry, Medical University of Bialystok, 15-089 Bialystok, Poland

Department of Chemical Sciences, University of Catania, 95125 Catania, Italy

References (46)

Show source-provided references
1. Supplemental maxillomandibular fixation with miniplate osteosynthesis—Required or not?10.1007/s10006-010-0229-6 ↗
2. Surface analysis of titanium maxillofacial plates and screws retrieved from patients10.1054/ijom.2002.0283 ↗
3. The development of plate osteosynthesis for the treatment of fractures of the mandibular body–A literature review10.1016/j.jcms.2007.08.011 ↗
4. Titanium allergy: A literature review10.4103/0019-5154.143526 ↗
5. A comparative review of 266 mandibular fractures with internal fixation using rigid (AO/ASIF) plates or mini-plates10.1016/S0266-4356(96)90010-8 ↗
6. Metallic debris in femoral endosteolysis in failed cemented total hip arthroplasties10.1097/00003086-199203000-00019 ↗
7. Metal-on-metal versus polyethylene in hip arthroplasty: A randomized clinical trial10.1097/00003086-200301000-00039 ↗
8. Interfacial compliance, energy dissipation, frequency effects, and long-term fretting corrosion performance of Ti-6Al-4V/CoCrMo interfaces10.1002/jbm.a.37299 ↗
9. Fretting-corrosion at the Implant–Abutment Interface Simulating Clinically Relevant Conditions10.1016/j.dental.2024.08.007 ↗
10. Local effect of titanium implant corrosion: An experimental study in rats10.1016/j.ijom.2008.05.013 ↗
11. Should the galvanic combination of titanium and stainless steel surgical implants be avoided?10.1016/j.injury.2007.07.015 ↗
12. Influence of pH and corrosion inhibitors on the tribocorrosion of titanium in artificial saliva10.1016/j.wear.2006.03.031 ↗
13. Tribo-corrosion properties of cobalt-based medical implant alloys in simulated biological environments10.1016/j.wear.2007.01.114 ↗
14. Antonowicz, B., Maciejczyk, M., Borys, J., Łukaszuk, K., Zięba, S., Gołaś, E., Żendzian-Piotrowska, M., and Zalewska, A. (2024). The Pattern of Cytokines, Chemokines, and Growth Factors of the Maxillary and Mandibular Periosteum After Exposure to Titanium Fixations—Ti6Al4V. J. Clin. Med., 13.10.3390/jcm13237064 ↗
15. Borys, J., Maciejczyk, M., Antonowicz, B., Krętowski, A., Sidun, J., Domel, E., Dąbrowski, J.R., Ładny, J.R., Morawska, K., and Zalewska, A. (2019). Glutathione metabolism, mitochondria activity, and nitrosative stress in patients treated for mandible fractures. J. Clin. Med., 8.10.3390/jcm8010127 ↗
16. Borys, J., Maciejczyk, M., Antonowicz, B., Sidun, J., Świderska, M., and Zalewska, A. (2019). Free radical production, inflammation and apoptosis in patients treated with titanium mandibular fixations—An observational study. Front. Immunol., 10.10.3389/fimmu.2019.02662 ↗
17. Circulating biomarkers of nitrosative stress, protein glycoxidation and inflammation in maxillofacial surgery patients treated with titanium implants10.17219/dmp/188863 ↗
18. Antonowicz, B., Borys, J., Roszczyc-Owsiejczuk, K., Łukaszuk, K., Zalewska, A., and Błachnio-Zabielska, A.U. (2025). Impact of Titanium Plate Fixation on Diacylglycerol and Growth Factor Levels in the Periosteum of the Mandible and Maxilla in Patients with Dentofacial Deformities After Jaw Osteotomies. Int. J. Mol. Sci., 26.10.3390/ijms26052020 ↗
19. Antonowicz, B., Błachnio-Zabielska, A., Chlabicz, U., Maciejczyk, M., Borys, J., Łukaszuk, K., Zięba, S., Giudice, R.L., Giudice, G.L., and Szuta, M. (2025). Profile of the main representatives of sphingolipid metabolism in the maxillary and mandibular periosteum of patients with dentofacial deformities after osteosynthesis using titanium implants. J. Clin. Med., 14.10.3390/jcm14061929 ↗
20. Titanium deposition in regional lymph nodes after insertion of titanium screw implants in maxillofacial region10.1016/S0901-5027(05)80045-1 ↗
21. Carcinogenicity of CoCrMo (F-75) implants in the rat10.1002/(SICI)1097-4636(199609)32:1<37::AID-JBM5>3.0.CO;2-Q ↗
22. Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection10.1016/j.artmed.2020.101816 ↗
23. Effect of radiation dose reduction on texture measures of trabecular bone microstructure: An in vitro study10.1007/s00774-017-0836-5 ↗
24. Caries detection enhancement using texture feature maps of intraoral radiographs10.1007/s11282-018-0354-8 ↗
25. Texture feature extraction methods: A survey10.1109/ACCESS.2018.2890743 ↗
26. Zwanenburg, A., Leger, S., Vallières, M., and Löck, S. (2016). Image biomarker standardisation initiative. arXiv.
27. Textural features for image classification10.1109/TSMC.1973.4309314 ↗
28. Textural features corresponding to textural properties10.1109/21.44046 ↗
29. Neighboring gray level dependence matrix for texture classification10.1016/0734-189X(83)90032-4 ↗
30. Use of gray value distribution of run lengths for texture analysis10.1016/0167-8655(90)90112-F ↗
31. Texture analysis using gray level run lengths10.1016/S0146-664X(75)80008-6 ↗
32. Shape and texture indexes application to cell nuclei classification10.1142/S0218001413570024 ↗
33. Górski, K., Borowska, M., Stefanik, E., Polkowska, I., Turek, B., Bereznowski, A., and Domino, M. (2022). Selection of Filtering and Image Texture Analysis in the Radiographic Images Processing of Horses’ Incisor Teeth Affected by the EOTRH Syndrome. Sensors, 22.10.3390/s22082920 ↗
34. SimpleITK image-analysis notebooks: A collaborative environment for education and reproducible research10.1007/s10278-017-0037-8 ↗
35. Lim, J.S. (1990). Two-Dimensional Signal and Image Processing, Prentice-Hall, Inc.
36. Gonzales, R.C., Woods, R.E., and Eddins, S.L. (2004). Digital Image Processing Using MATLAB, Pearson Prentice Hall.
37. Lowekamp, B.C., Chen, D.T., Ibáñez, L., and Blezek, D. (2013). The design of SimpleITK. Front. Neuroinformatics, 7.10.3389/fninf.2013.00045 ↗
38. Image segmentation, registration and characterization in R with SimpleITK10.18637/jss.v086.i08 ↗
39. Computational radiomics system to decode the radiographic phenotype10.1158/0008-5472.CAN-17-0339 ↗
40. Thibault, G., Fertil, B., Navarro, C., Pereira, S., Cau, P., Levy, N., Sequeira, J., and Mari, J.-L. (2009, January 19–21). Texture indexes and gray level size zone matrix Application to Cell Nuclei Classification. Proceedings of the 10th International Conference on Pattern Recognition and Information Processing (PRIP), Minsk, Belarus.
41. Linear discriminant analysis: A detailed tutorial10.3233/AIC-170729 ↗
42. Gray’s anatomy: The anatomical basis of clinical practice
43. Junqueira, L.C.U., and Carneiro, J. (2005). Basic Histology: Text & Atlas, McGraw-Hill.
44. Nanci, A. (1994). Ten Cate’s Oral Histology: Development, Structure, and Function, Elsevier.
45. Texture analysis of X-ray radiographs is correlated with bone histomorphometry10.1007/s00774-004-0536-9 ↗
46. Wach, T., Okulski, J., Zieliński, R., Trybek, G., Michcik, A., and Kozakiewicz, M. (2024). New Radiological Corticalization Index as an Indicator of Implant Success Rate Depending on Prosthetic Restoration—5 Years of Follow-Up. Diagnostics, 14.10.3390/diagnostics14090867 ↗