Unveiling degenerative bone changes in the condyle: a texture analysis approach using cone-beam computed tomography.

Acta cirurgica brasileira Pub Date : 2025-01-13 eCollection Date: 2025-01-01 DOI:10.1590/acb401325
Michelle Bianchi-de Moraes, Natália Caroline Queiroz Costa, Gabriella Yasmim Santos da Silva, Fernanda Calvo Costa, Fernando Vagner Raldi, Sérgio Lúcio Pereira de Castro Lopes
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Abstract

Purpose: The degenerative joint disease is a temporomandibular disorder. By analysing texture parameters, it becomes possible to characterize and differentiate various tissues, based on their textural properties according to cone-beam computed tomography (CBCT). This study evaluated degenerative diseases in the temporomandibular joint through texture analysis.

Methods: Eighty images of the jaw condyle with three types of degenerative diseases, flattening, osteophytes, erosion and control group were analysed, obtained through CBCT. The analyses were carried out through texture analysis with three regions of interest (ROIs) corresponding to specific bone sites. The scans were exported to MaZda software, in which the ROIs were delimited following previously marked contours, and the co-occurrence matrix values were calculated for selected texture analysis parameters.

Results: The erosion group showed a significantly different behaviour from the other groups for all analysed parameters.

Conclusion: This study highlights the potential of texture analysis in characterizing medullary bone changes in condyles affected by erosion. Texture analysis allows for a more comprehensive assessment of bone condition on CBCT images. These results have implications for early detection and monitoring of degenerative changes in the temporomandibular joint, thus allowing preventive intervention and personalized treatment planning, improving the prognosis of the disease.

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揭示髁突退行性骨变化:使用锥形束计算机断层扫描的纹理分析方法。
目的:退行性关节疾病是一种颞下颌疾病。通过对纹理参数的分析,使锥束计算机断层扫描(CBCT)基于纹理特性对不同组织进行表征和区分成为可能。本研究通过质地分析评估颞下颌关节退行性疾病。方法:通过CBCT对80张颌骨髁突退行性病变、扁平、骨赘、糜烂及对照组的图像进行分析。分析是通过纹理分析进行的,三个兴趣区域(roi)对应于特定的骨位置。扫描结果导出到马自达软件中,在该软件中,roi按照先前标记的轮廓进行划分,并计算所选纹理分析参数的共现矩阵值。结果:侵蚀组在所有分析参数中表现出与其他组明显不同的行为。结论:本研究强调了纹理分析在表征糜烂影响的髁髓骨变化方面的潜力。纹理分析允许对CBCT图像进行更全面的骨状况评估。这些结果对颞下颌关节退行性改变的早期发现和监测具有重要意义,从而允许预防性干预和个性化治疗计划,改善疾病的预后。
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