Texture analysis in cone-beam computed tomographic images of medication-related osteonecrosis of the jaw

Purpose: The aim of this study was to evaluate changes in the trabecular bone through texture analysis and compare the texture analysis characteristics of different areas in patients with medication-related osteonecrosis of the jaw (MRONJ). Materials and Methods: Cone-beam computed tomographic image...

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Veröffentlicht in:Imaging science in dentistry 2023, Vol.53 (53), p.109-115
Hauptverfasser: Polyane Mazucatto Queiroz, Karolina Castilho Fardim, Andre Luiz Ferreira Costa, Ricardo Alves Matheus, Sergio Lucio Pereira Castro Lopes
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container_end_page 115
container_issue 53
container_start_page 109
container_title Imaging science in dentistry
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creator Polyane Mazucatto Queiroz
Karolina Castilho Fardim
Andre Luiz Ferreira Costa
Ricardo Alves Matheus
Sergio Lucio Pereira Castro Lopes
description Purpose: The aim of this study was to evaluate changes in the trabecular bone through texture analysis and compare the texture analysis characteristics of different areas in patients with medication-related osteonecrosis of the jaw (MRONJ). Materials and Methods: Cone-beam computed tomographic images of 16 patients diagnosed with MRONJ were used. In sagittal images, 3 regions were chosen: active osteonecrosis(AO); intermediate tissue (IT), which presented a zone of apparently healthy tissue adjacent to the AO area; and healthy bone tissue (HT) (control area). Texture analysis was performed evaluating 7 parameters: secondary angular momentum, contrast, correlation, sum of squares, inverse moment of difference, sum of entropies, and entropy. Data were analyzed using the Kruskal-Wallis test with a significance level of 5%. Results: Comparing the areas of AO, IT, and HT, significant differences (P
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Materials and Methods: Cone-beam computed tomographic images of 16 patients diagnosed with MRONJ were used. In sagittal images, 3 regions were chosen: active osteonecrosis(AO); intermediate tissue (IT), which presented a zone of apparently healthy tissue adjacent to the AO area; and healthy bone tissue (HT) (control area). Texture analysis was performed evaluating 7 parameters: secondary angular momentum, contrast, correlation, sum of squares, inverse moment of difference, sum of entropies, and entropy. Data were analyzed using the Kruskal-Wallis test with a significance level of 5%. Results: Comparing the areas of AO, IT, and HT, significant differences (P&lt;0.05) were observed. The IT and AO area images showed higher values for parameters such as contrast, entropy, and secondary angular momentum than the HT area, indicating greater disorder in these tissues. Conclusion: Through texture analysis, changes in the bone pattern could be observed in areas of osteonecrosis. 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title Texture analysis in cone-beam computed tomographic images of medication-related osteonecrosis of the jaw
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