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首页> 外文会议>Conference on Biomedical Applications in Molecular, Structural, and Functional Imaging >Diagnostic Index: An open-source tool to classify TMJ OA condyles
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Diagnostic Index: An open-source tool to classify TMJ OA condyles

机译：诊断索引：对TMJ OA Condyles进行分类的开源工具

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摘要

Osteoarthritis (OA) of temporomandibular joints (TMJ) occurs in about 40% of the patients who present TMJ disorders. Despite its prevalence, OA diagnosis and treatment remain controversial since there are no clear symptoms of the disease, especially in early stages. Quantitative tools based on 3D imaging of the TMJ condyle have the potential to help characterize TMJ OA changes. The goals of the tools proposed in this study are to ultimately develop robust imaging markers for diagnosis and assessment of treatment efficacy. This work proposes to identify differences among asymptomatic controls and different clinical phenotypes of TMJ OA by means of Statistical Shape Modeling (SSM), obtained via clinical expert consensus. From three different grouping schemes (with 3, 5 and 7 groups), our best results reveal that that the majority (74.5%) of the classifications occur in agreement with the groups assigned by consensus between our clinical experts. Our findings suggest the existence of different disease-based phenotypic morphologies in TMJ OA. Our preliminary findings with statistical shape modeling based biomarkers may provide a quantitative staging of the disease. The methodology used in this study is included in an open source image analysis toolbox, to ensure reproducibility and appropriate distribution and dissemination of the solution proposed.
机译：颞下颌关节（TMJ）的骨关节炎（OA）发生在患有TMJ疾病的患者的约40％。尽管它流行，OA诊断和治疗仍然存在争议，因为疾病没有明确的症状，特别是在早期阶段。基于TMJ髁的3D成像的定量工具有可能有助于表征TMJ OA的变化。本研究提出的工具的目标是最终为诊断和评估治疗疗效而制定鲁棒成像标记。这项工作提出通过统计形状建模（SSM）鉴定无症状对照和TMJ OA的不同临床表型的差异，通过临床专家共识获得。从三个不同的分组计划（3,5和7组），我们的最佳结果表明，大多数（74.5％）的分类与我们的临床专家之间共识的团体达成协议。我们的研究结果表明TMJ OA中不同疾病的表型形态存在。我们具有统计形状建模的生物标志物的初步发现可以提供疾病的定量分期。本研究中使用的方法包括在开源图像分析工具箱中，以确保提出的解决方案的再现性和适当的分布和传播。

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