Objective To explore the feasibility of automating the measurement of abduction angle after total hip arthroplasty(THA)on postoperative radiographs by using deep learning algorithms.Methods The data were retrospectively collected.A total of 381 cases were used to develop deep learning model.Two radiologists annotated the key points on the images(lateral-superior point and medial-inferior point of acetabular cups,tear drops).The data was split into training dataset(304 cases),tuning dataset(38 cases),and test dataset(39 cases).A 2D U-net model was trained to segment the key points and the abduction angle were automatically meas-ured.After development of the model,an external validation dataset was collected(143 cases).Dice similarity coefficient(DSC)and mean absolute error(MAE)were used to evaluate the prediction efficiency of the model in the test dataset and the external validation dataset.Bland-Altman test was used to analyze the agreement between the abduction angle measured automatically by the model and the physician measurement.Results The DSC were 0.870-0.905 and 0.690-0.750 in the test dataset and the external validation dataset,and the corresponding MAE were 0.311-0.561 and 0.951-1.310.For the result of Bland-Altman analysis,only 6.52％(3/46)and 2.08％(3/144)of the abduction angle measurements in the test dataset and external validation dataset were outside the 95％limit of agreement(LoA).In the qualitative evaluation of the abduc-tion angle,the agreement of the model with the physician were 97.8％and 90.3％in the test dataset and the external validation dataset.Conclusion It is feasible to use deep learning algorithms to automatically measure the abduction angle after THA on X-ray images,achieving similar accuracy to that of physician.

OBJECTIVE To establish HPLC characteristic chro matogram of Jianpi yifei biyan prescription standard decoction ， to select the quality control index components and determine their contents. METHODS HPLC method combined with Similarity Evaluation System of TCM Chromatographic Fingerprint （2004 edition）were used to establish the characteristic chromatogram of 10 batches of Jianpi yifei biyan prescription standard decoction ；the similarity evaluation and common peaks identification were also carried out. Using common peak area of characteristic chromatogram as variables ，SPSS 26.0 software and SIMCA 14.1 software were used to perfor m cluster analysis （CA），principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）；differential components with variable important i n pro jection（VIP）value greater than 1.5 were screened；the contents of cimifugin and differential components were determined by the same method. RESULTS A total of 24 common characteristic peaks were identified ， and the similarities of 10 batches of samples were higher than 0.960；eight characteristic peaks were identified by comparison with reference substance. CA and PCA results revealed that the samples were classified into 3 categories.OPLS-DA analysis showed that 3 components with VIP value greater than 1.5， which were prim-O-glucosylcimifugin （peak 2），calycosin 7-O-β-D-glucopyranoside （peak 4） and 5-O-methylvisammioside （peak 6） in descending order. The linear ranges of prim- O- glucosylcimifugin，calycosin 7-O-β-D-glucopyranoside，cimifugin and 5-O-methylvisammioside were 0.010 7-0.213 0，0.007 8- 0.156 0，0.008 0-0.160 0，0.009 8-0.195 0 μg（r＞0.999），respectively. RSD values of precision ，repeatability and stability tests （24 h） were all less than 2％. Average recoveries were 105.98％（RSD＝1.75％，n＝6），98.06％（RSD＝3.87％，n＝6），96.38％（RSD＝ 4.03％ ，n＝6） and 104.17％（RSD＝1.27％ ，n＝6）. The contents of the above 4 components in 10 batches of samples were 12.12-18.87，3.86-6.40，3.10-4.27 and 11.17-15.79 μ g/mL，respectively. CONCLUSIONS The established HPLC characteristic chromatographic method is stable and feasible ，it can be used for the quality control of Jianpi yifei biyan prescription standard decoction. Prim- O-glucosylcimifugin，calycosin 7-O-β-D-glucopyranoside，cimifugin and 5-O-methylvisammioside can be used as the index components for quality control of the standard decoction.