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首页> 外文期刊>Journal of computer assisted tomography >Evaluation of a Computer-Aided Diagnosis System for Automated Bone Age Assessment in Comparison to the Greulich-Pyle Atlas Method: A Multireader Study
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Evaluation of a Computer-Aided Diagnosis System for Automated Bone Age Assessment in Comparison to the Greulich-Pyle Atlas Method: A Multireader Study

机译:与Greulich-Pyle Atlas方法相比,评估自动骨骼年龄评估的计算机辅助骨龄评估:多风格研究

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摘要

Objective The aim of this study was to investigate a novel version of a computer-aided diagnosis (CAD) system developed for automated bone age (BA) assessment in comparison to the Greulich and Pyle method, regarding its accuracy and the influence of carpal bones on BA assessment. Methods Total BA, BA of the left distal radius, and BA of carpal bones in 305 patients were determined independently by 3 blinded radiologists and assessed by the CAD system. Pearson product-moment correlation, Bland-Altman plot, root-mean-square deviation, and further agreement analyses were computed. Results Mean total BA and BA of the distal radius showed high correlation between both approaches (r = 0.985 and r = 0.963). There was significantly higher correlation between values of total BA and BA of the distal radius (r = 0.969) compared with values of total BA and BA of carpal bones (r = 0.923). The assessment of carpal bones showed significantly lower interreader agreement compared with measurements of the distal radius (kappa = 0.79 vs kappa = 0.98). Conclusion A novel version of a CAD system enables highly accurate automated BA assessment. The assessment of carpal bones revealed lower precision and interreader agreement. Therefore, methods determining BA without analyzing carpal bones may be more precise and accurate.
机译:目的本研究的目的是调查为自动骨龄(BA)评估开发的计算机辅助诊断(CAD)系统的新颖版本,与Greulich和PyLe方法相比,其准确性和腕骨骨骼的影响BA评估。方法通过3个盲化放射学家独立测定305名患者左侧远端半径的总BA,乳房骨骼BA,并通过CAD系统评估。 Pearson Product Sone的相关性,Bland-Altman情节,根均方偏差和进一步的协议分析。结果意指远端半径的总BA和BA在两种方法之间显示出高的相关性(r = 0.985和r = 0.963)。与腕骨总BA和BA的值相比,远端半径的总BA和BA值之间的相关性显着高(R = 0.923)。与远端半径的测量相比,腕骨骨骼的评估显示出明显更低的中断者协议(Kappa = 0.79 Vs Kappa = 0.98)。结论一部小型版本的CAD系统可实现高精度的自动化BA评估。腕骨的评估显示了较低的精度和中间方便协议。因此,在不分析腕骨的情况下确定BA的方法可能更精确和准确。

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