ABSTRACT
OBJECTIVES: To assess whether filter and contrast adjustments can improve the accuracy of CBCT in measuring the buccal bone thickness (BBT) adjacent to dental implants by reducing blooming artifacts. MATERIALS AND METHODS: Homogeneous bone blocks with peri-implant BBT of 0.3 mm, 0.5 mm, and 1 mm were scanned using the Orthophos SL system. Three dentists measured the BBT in 234 CBCT scans under different settings of contrast adjustments and 'Sharpen' filter activation. Additionally, implant diameter measurements were taken to assess blooming artifact expression. The differences between tomographic and actual measurements of BBT and implant diameter [(CBCT - actual) * 100 / actual] were subjected to Mixed ANOVA (α = 0.05). RESULTS: The group with the thinnest BBT (0.3 mm) had the greatest difference between tomographic and actual measurements (79.9% ± 29.0%). Conversely, the 0.5 mm (36.1% ± 38.4%) and 1 mm (29.4% ± 12.3%) groups exhibited lower differences (p < 0.05). 'Sharpen' filter activation reduced blooming expression since it resulted in a lower difference for implant diameter (p < 0.05), but it did not influence BBT measurements (p = 0.673). Contrast settings had no impact on BBT (p = 0.054) or implant diameter measurements (p = 0.079). CONCLUSION: Although filter activation reduced blooming artifacts, neither filter nor contrast adjustments improved the accuracy of CBCT in measuring peri-implant BBT; actual BBT influenced this task. CLINICAL RELEVANCE: When assessing the peri-implant buccal bone plate in the CBCT system studied, dental surgeons may find it beneficial to adjust contrast and apply filters according to their preferences, since such adjustments were found to have no adverse effects on the diagnostic accuracy of this task. The use of the 'Sharpen' filter may lead to improved representation of implant dimensions.
Subject(s)
Artifacts , Cone-Beam Computed Tomography , Dental Implants , Humans , Cone-Beam Computed Tomography/methodsABSTRACT
Abstract Introduction Osteoporosis is a metabolic disease characterized by reduced bone mineral density, often accompanied by loss of quality of trabecular bone microarchitecture. Objective To assess the quality or degradation of trabecular bone microarchitecture in digital panoramic radiography to better predict the risk of fragility fractures. Material and method The sample included 68 female patients, age-matched, and divided into three groups according to densitometric results. Trabecular Bone Score values were measured and digital panoramic radiographs were taken. Fractal analysis with box counting was conducted in the region of premolars and angle of the mandible, with regions of interest measuring 64×64 and 80×120 pixels. In the statistical analysis, Pearson's correlation was applied between the Trabecular Bone Score and fractal analysis results obtained in each group, using age as a control variable and assigning individualized age ranges within groups. Result A moderate correlation was identified in the regions of interest of 64×64 and 80×120 pixels at the angle of the mandible in the osteoporosis group and in the normal group. A moderate correlation was also obtained using age as a control variable in the 64x64 pixel regions of interest in the premolar region. Considering age range, the within-group analysis presented a strong correlation in the osteoporosis group and moderate correlation in the osteopenia and normal groups. Conclusion Fractal analysis in digital panoramic radiographs was shown to be a promising predictive instrument of bone microarchitecture quality.
Resumo Introdução A osteoporose é uma doença metabólica caracterizada pela redução da densidade mineral óssea, muitas vezes acompanhada da perda de qualidade da microarquitetura óssea trabecular. Objetivo Avaliar a qualidade da microarquitetura óssea trabecular em radiografia panorâmica digital a fim de identificar precocemente a sua degradação, possibilitando melhor predição do risco de fraturas por fragilidade. Material e método A amostra consistiu de 68 pacientes do sexo feminino, pareadas por idade, e divididas em 3 grupos conforme resultado densitométrico. Foram aferidos os valores de Trabecular Bone Score e realizadas radiografias panorâmicas digitais. A análise fractal com box counting foi feita na região de pré-molares e ângulo da mandíbula, com regiões de interesse medindo 64x64 e 80x120 pixels. Na análise estatística utilizou-se a correlação de Pearson entre os resultados de Trabecular Bone Score e de análise fractal obtidos em cada grupo, utilizando-se a idade como variável de controle e através de atribuição de grupos etários individualizados intragrupos. Resultado Identificou-se correlação moderada nas regiões de interesse de 64x64 e 80x120 pixels, em ângulo da mandíbula no grupo Osteoporose e no grupo normal. Também se obteve correlação moderada utilizando a idade como variável de controle nas regiões de interesse de 64x64 pixels, em região de pré-molares. A análise intragrupos, considerando a faixa etária, resultou em correlação forte, no grupo osteoporose e moderada nos grupos osteopenia e normal. Conclusão A análise fractal em radiografias panorâmicas digitais se mostrou promissora como instrumento preditivo da qualidade de microarquitetura óssea.
