Correlation in radiological bone age determination using the Greulich and Pyle method versus automated evaluation using BoneXpert software

Correlation in radiological bone age determination using the Greulich and Pyle method versus automated evaluation using BoneXpert software
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DOI:
10.4067/s0370-41062018005000705
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发表时间:
2018-10-01
期刊:
Revista chilena de pediatría
影响因子:
--
通讯作者:
Guiloff, Stefan
Guiloff, Stefan
中科院分区:
其他
文献类型:
--
作者:
Pose Lepe, Georgette;Villacrés, Fabián;Guiloff, Stefan

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目的:确定2013-2016年间使用Greulich和Parle方法与通过BoneXpert(R)软件进行的放射学骨龄评估的相关性程度。材料和方法:对圣地亚哥Alemana de Santiago诊所1500例16岁以下儿童腕骨X线片骨龄诊断技术进行相关性研究。使用BoneXpert(BE)自动骨龄评估软件分析7名儿科放射科医生中1名使用Greulich and Parle图集(GP)进行骨龄评估的X线片。随机抽取100例进行分析/再分析,用BoneXpert法确定其准确性。使用相关系数(Pearson‘s r)分析测量的相关性水平,并使用Bland-Altman分析测量的变异性。结果:共评估病例1493例,其中7例因X线检查失败而被排除,女性922例(61.8%),中位年龄9.96岁,男性11.12岁(P<0.001)。在放射科医生中,手动骨龄(GP)和使用BoneXpert方法的自动骨龄的相关性在0.91到0.93之间。Bland-Altman分析表明,手工骨龄与BoneXpert骨龄的平均差异为0.19岁(CI为0.13~0.25)。用BoneXpert软件对100例随机病例进行分析/再分析,相关系数为1.00(100%准确率)。结论:使用BoneXpert的自动化分析允许标准化、低变异性和高一致性评估。
Objective: To determine the degree of correlation in the radiological bone age assessment using the Greulich and Pyle method versus automated assessment through BoneXpert (R) software between 2013 and 2016. Material and Method: Correlation study of diagnostic techniques of 1500 carpal X-rays to assess bone age in patients under 16 years of age from Clinica Alemana de Santiago. X-rays with bone age assessment using the Atlas of Greulich and Pyle (GP) by 1 out of 7 pediatric radiologists, were analyzed using the BoneXpert (BE) software for automated bone age assessment. 100 cases were taken at random for analysis/re-analysis using the BoneXpert method to determine its accuracy. The level of correlation of the measurements was analyzed using the correlation coefficient (Pearson's r) and the variability of the measurements using the Bland-Altman analysis. Results: 1493 cases were assessed, seven were excluded due to failure in the X-ray technique, 922 females (61.8%), with a median chronological age of 9.96 years and 11.12 years for males (p 0.001). The correlation between manual bone age (GP) and automated bone age using BoneXpert method among radiologists ranged from 0.91 to 0.93. The Bland-Altman analysis indicated an average difference between manual bone age and bone age using the BoneXpert method of 0.19 years (CI 0.13 to 0.25). In the analysis/re-analysis of 100 random cases using the BoneXpert software, the correlation was 1.00 (100% accuracy). Conclusion: The automated analysis using BoneXpert allows for standardized, low-variability, and high-concordance assessment.