Objective To construct a high-precision statistical shape model of the humerus and systematically describe its anatomical variation patterns.Methods In this study,a statistical shape model of the humerus was constructed using the three-dimensional model data of 60 collected humerus cases.The principal component analysis method was adopted to reveal the main patterns of humerus anatomical variations and their contribution rates.Results The results showed that the first five principal components(PC01-PC05)collectively explained 96.6%of the total anatomical variations.Among them,PC01 and PC02 were the main components,contributing 66.6%and 23.5%of the variations respectively.PC01 mainly reflects the scaling effect of the overall size(length/width)of the humerus,while PC02 reveals the length variation characteristics independent of the overall scaling,which may reflect individualized differences.The subsequent principal components(PC03-PC05)depicted the local morphological characteristics and fine changes of the proximal and distal humerus.Conclusion The statistical shape model constructed in this study provides a reliable digital basis for personalized prosthesis design,surgical planning and biomechanical simulation.

Objective To construct a high-precision statistical shape model of the humerus and systematically describe its anatomical variation patterns.Methods In this study,a statistical shape model of the humerus was constructed using the three-dimensional model data of 60 collected humerus cases.The principal component analysis method was adopted to reveal the main patterns of humerus anatomical variations and their contribution rates.Results The results showed that the first five principal components(PC01-PC05)collectively explained 96.6%of the total anatomical variations.Among them,PC01 and PC02 were the main components,contributing 66.6%and 23.5%of the variations respectively.PC01 mainly reflects the scaling effect of the overall size(length/width)of the humerus,while PC02 reveals the length variation characteristics independent of the overall scaling,which may reflect individualized differences.The subsequent principal components(PC03-PC05)depicted the local morphological characteristics and fine changes of the proximal and distal humerus.Conclusion The statistical shape model constructed in this study provides a reliable digital basis for personalized prosthesis design,surgical planning and biomechanical simulation.

Objective To establish a method for limit test of camphor in Shujin Huoxue pills. Methods A DB-WAX (30 m×0. 32 mm,0. 25 μm) capillary column was used with a programmed temperature. Results The linear range of camphor was 1. 05-210. 00 μg·mL-1(r=1. 0). The average recovery was 101. 7%(n=9, RSD=1. 2%). Conclusion The proposed method is simple, sensitive, accurate and reproducible, which is suitable for quality control of Shujin Huoxue Pills.