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Nigerian Journal of Clinical Practice

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Classification of alveolar bone destruction patterns on maxillary molars by using cone-beam computed tomography

G Ozcan, A.E. Sekerci

Abstract


Objective: The defective diagnosis of alveolar structures is one of most serious handicaps when assessing available periodontal treatment options for the prevention of tooth loss. The aim of this research was to classify alveolar bone defects in the maxillary molar region which is a challenging area for dental implant applications. To our knowledge, this is the first study of periodontal bone defect prevalence by using cone‑beam computed tomography (CBCT).

Materials and Methods: In this study, the remaining alveolar bone patterns of 669 maxillary molars of 243 patients with periodontal bone loss were investigated on four aspects and the furcation areas of teeth, and then they were classified into six main groups. Combined periodontal‑endodontic lesions (CPELs) were also reported in another category.

Results: Following exclusion of 39 (5.8%) teeth with CPEL, the most common group was horizontal bone defects (71.4%) and the least seen group was three‑walled vertical bone defects (1.9%) in all alveolar bone sides of teeth. Osseous crater was found at the rate of 6.7% on interdental alveolar bone. Dehiscence and fenestration were detected at rates of 2.7% and 3.3%, respectively. In the assessment of furcation areas, there was no furcation involvement in 61.4% of all teeth and the rate of Grade‑II involvements was 26.2%.

Conclusions: The most appropriate treatment option may be decided through accurate imaging of periodontal defect morphology. CBCT can provide comprehensive information about the remaining alveolar bone structures. In this way, the need for dental implant can be prevented in many cases and be replaced with a more conservative approach on the maxillary molar region.

Keywords: Classification, cone‑beam computed tomography, maxillary molars, periodontal bone loss, prevalence




http://dx.doi.org/10.4103/1119-3077.180074
AJOL African Journals Online