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Inter-observer reliability of alternative diagnostic methods for proximal humerus fractures: a comparison between attending surgeons and orthopedic residents in training

机译:观察者间可靠性的肱骨近端骨折的替代诊断方法:主治医生和骨科住院医师在培训中的比较

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Proximal humerus fractures are frequent, and several studies show low diagnostic agreement among the observers, as well as an inaccurate classification of these lesions. The divergences are generally correlated with the experience of the surgeons as well as the diagnostic methods used. This paper challenges these problems including alternative diagnostic methods such as 3D models and augmented reality (holography) and including the observers’ period of medical experience as a factor. Twenty orthopedists (ten experts in shoulder surgery and ten experts in traumatology) and thirty resident physicians in orthopedics classified nine proximal humerus fractures randomly distributed as x-ray, tomographies, 3D models and holography, using AO/ASIF and Neer’s classification. In the end, we evaluated the intra- and inter-observer agreement between diagnostic methods and whether the experience of the observers interfered in the evaluations and the classifications used. We found overall kappa coefficients ranging from 0.241 (fair) to 0.624 (substantial) between the two classifications (AO / ASIF and Neer), concerning the diagnostic methods used. We identified image modality differences (p?=?0.017), where 3D models presented an average kappa coefficient value superior to that of tomographies. There were no differences between kappa scores for x-ray and holography compared to the others. The kappa scores for AO / ASIF classification and Neer classification and subdivided by observer period of experience showed no differences concerning the diagnostic method used. 3D models can substantially improve diagnostic agreement for proximal humerus fractures evaluation among experts or resident physicians. The holography showed good agreement between the experts and can be a similar option to x-ray and tomography in the evaluation and classification of these fractures. The observers’ period of experience did not improve the diagnostic agreement between the image modalities studied. Registered in the Brazil Platform under no. CAAE 88912318.1.0000.5487 .
机译:肱骨近端骨折很常见,一些研究表明观察者之间的诊断一致性很低,并且这些病变的分类不准确。差异通常与外科医生的经验以及所使用的诊断方法相关。本文对这些问题提出了挑战,其中包括诸如3D模型和增强现实(全息)之类的替代诊断方法,以及将观察者的医疗经历作为一个因素。二十位骨科医生(十位肩关节外科专家和十位创伤学专家)和三十位骨科住院医师使用AO / ASIF和Neer分类法将9例肱骨近端骨折随机分为X线,断层扫描,3D模型和全息术。最后,我们评估了诊断方法之间的观察者内部和观察者之间的一致性,以及观察者的经验是否会干扰评估和使用的分类。我们发现,关于使用的诊断方法,两种分类(AO / ASIF和Neer)之间的总体kappa系数范围为0.241(中等)至0.624(实质)。我们确定了图像模态差异(p?=?0.017),其中3D模型显示的平均kappa系数值优于层析成像。与其他相比,X射线和全息术的Kappa评分之间没有差异。 AO / ASIF分类和Neer分类的kappa得分,并根据观察者的经验期限进行了细分,因此所用的诊断方法没有差异。 3D模型可以大大提高专家或住院医师对肱骨近端骨折评估的诊断一致性。全息图显示出专家之间的良好共识,并且可以在评估和分类这些骨折方面与X射线和断层扫描类似。观察者的经历时期并未改善所研究图像模式之间的诊断一致性。在巴西平台注册,编号为。 CAAE 88912318.1.0000.5487。

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