Quantification of Bone in the Maxillomandibular Region, using Cone Beam Computed Tomography
DOI:
https://doi.org/10.52206/jsmc.2025.15.2.1067Abstract
Background: Maxillary and mandibular bones are the primary bones of the face. Both the mandible and maxilla are subjected to the physiological and pathological changes. The success of dental implant largely depends on pre-operative preparation.
Objective: This study aimed to find the quantity of bone using CBCT among genders with different age groups and to generate a novel classification system for the amount/quantity of bone in the maxillo-mandibular region.
Materials and Methods: This cross-sectional study consisted of 417 subjects (age limit 18-80 years/both genders) visiting the Radiology Department of Sardar Begum Dental College and Khyber College of Dentistry. CBCT was used to generate the new classification system for the quantity of bone in the maxillomandibular region. The frequency/percentages and Mean ± SD for the numerical data were calculated using descriptive statistics. The numerical variables were graded from very high value to very low recordable value. The chi-square test was used for all the categorical variables. The level of significance was (P value≤0.05) for six categories of decade age sub-groups, between both genders.
Results: The mean age group was 48.95 with a standard deviation of 17.11 years. In the mandible, 69.78% of candidates had an abundant quantity of bone among which 33.34% (n=139) females and 36.78% (n=152) males showed sufficient dimensions. The inadequate and deficient dimensions were found in 8.63% (n=36) and 7.67% (n=32) females and 8.87% (n=37) and 5.03 % (n=21) males. In contrast, in the maxilla 63.07% (n=263) patients in which 31.18% (n=130) females and 31.89% (133) males, had deficient maxilla in all dimensions.
Conclusion: The novel classification system showed, that the mandible was abundant and sufficient in quantity and marked as Division A/ B. In contrast, the posterior maxilla was found to be deficient and insufficient in quantity and marked as division C/D. The quantity of the maxillary and mandibular bones was more deficient in the females than in males.
Keywords: Cortical bone, Density, Lingual undercut, Mandible, Maxilla, Quantity, Trabecula.
References
Barootchi S,` Majzou J, Chan H, Wang, HL, Kripfgans O. Ultrasonographic tissue perfusion in peri-implant health and disease. Journal of Dental Research. 2022;101, 278-285. https://doi.org/10.1177/00220345211035684
Bechara B, McMahan CA, Geha H. Metal artefact reduction with CBCT: a vitro study. Journal Dento maxillofac Radiol. 2021; 41 (3):248-53. https://doi.org/10.1259/dmfr/80899839
Campos MJ, Souza TS, Mota SL, Fraga MR, Vitral RW. Bone mineral density in CBCT: Only few shades of Grey. World J Radiol. 2014; 6:607-14. https://doi.org/10.4329/wjr.v6.i8.607
OH J, Kim SG.Clinical study of the relationship between implant stability measurement using periotest and osstell mentor and bone quality assessment. Journal Oral Surg Oral Pathol Oral Radiol. 2021; 113: 35-40. https://doi.org/10.1016/j.tripleo.2011.07.003
Baumann E, Bornstein M, Dalstra M, Verna C, Dagassan C. Image quality assessment of three cone beam computed tomography scanners-an analysis of the visibility of anatomical landmarks. European Journal of Orthodontics. 2022;44, 513 521. https://doi.org/10.1093/ejo/cjac004
Ravidà A, Siqueira R, Saleh I, Saleh M, Giannobile A, Wang HL. Lack of clinical benefit of implantoplasty to improve implant survival rate. Journal of Dental Research. 2020; 99(12),1348–55. https://doi.org/10.1177/0022034520944158
Romandini M, Lima C, Pedrinaci I, Araoz A, Soldini MC, Sanz M. Clinical signs, symptoms, perceptions and impact on quality of life of patients suffering peri- implant diseases: a university-representative cross- sectional study. Clinical Oral Implants Research online ahead of print. 2020; 1:123-35. https://doi.org/10.1111/clr.13683
Cui X, Reason T, Pardi V. CBCT analysis of crestal soft tissue thickness before implant placement and its relationship with cortical bone thickness. Journal BMC Oral Health. 2022; 22:593-601. https://doi.org/10.1186/s12903-022-02629
Fouda AA. The impact of the alveolar bone sites on early implant failure: A systematic review with meta- analysis. J. Korean Assoc. Journal Oral Maxillofac. Surg. 2020;46:162–173. https://doi.org/10.5125/jkaoms.2020.46.3.162
Celenk C, Celenk P. Relationship of mandibular and cervical vertebral bone density using computed tomography. Journal Dentomaxillofac Radiol. 2018; 37:47–51. https://doi.org/10.1259/dmfr/905110.49
Botermans A, Lidén A, de Carvalho V, Chrcanovic R. Immediate implant placement in the maxillary aesthetic zone: A cone beam computed tomography study. Journal Clin Med. 2021;10:5853. https://doi.org/10.3390/jcm10245853
Sandeep. Mandibular indices for gender prediction.A retrospective radiographic study in Saudi population. Journal of Dental oral Health. 2020; 3(9):2-7. https://doi.org/10.1016/J.Jchr.2017.0907.016
Yeung AWK, Hung KF, Li DTS, Leung YY. The Use of CBCT in Evaluating the Health and Pathology of the Maxillary Sinus. Journal Diagnostics. 2022, 12, 2819. https://doi.org/10.3390/diagnostics1211281
Wang. relationship between cortical bone thikness and cancellous bone density at dental implant site in jaw bone. Journal MDPI. 2020; 10(710):1-11. https://doi.org/10.3390/diagnostics.10090710
Ramanauskaite A, Becker K, Kassira HC, Becker J, Sader R, Schwarz F. The dimensions of the facial alveolar bone at tooth sites with local pathologies: A retrospective cone-beam CT analysis. Journal Clin. Oral Investig. 2020;24:1551-1560. https://doi.org/10.1007/s00784-019-03057-x
Malik R, Gupta A, Bansal P. Evaluation of Alveolar Ridge Height Gained by Vertical Ridge Augmentation Using Titanium Mesh and Novabone Putty in Posterior Mandible. J. Maxillofac. Oral Surg. 2020; 19:32–39. https://doi.org/10.1007/s12663-019-01250-9
Botelho SV, Perussolo J, Misawa MY, Zadeh HH, Araújo MG. The Basal Bone and Alveolar Process in the Maxillary Anterior Region in Humans: A Cone Beam Computed Tomographic Study. Int J Periodontics Restor Dent. 2020;40:907-914. https://doi.org/10.11607/prd.4571
Almahdi RA, Alasqah M. Assessment of buccal bone thickness in the maxillary and mandibular canine using cone-beam computed tomography. Int. Journal Med Dent. 2021;25:331–338
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