Objective In order to compare of consistency of results between URIT‐1500 and AIKELAI AX‐4030 urine drychemistry analyzers and for satisfy the need of urine routine test will choose in the reference range of the optimal urine drychemistry analyzers .Methods During the testing time from March 6 ,2015 to April 4 ,2015 ,random have been collected 378 cleaning midstream urine specimens form Luzhou medical college affiliated hospital were detected by the two kinds of urine drychemistry analyzers in parallel .Positive detection rates of each project were analyzed statistical by chi‐square test and counting accordance rate ,general accordance rate ,and the kappa value completely .Results The percentage of variance difference of specific gravity(SG) between the two analyzers was 0 .564% (<1% );Positive detection rates(P value) of WBC ,BIL ,PRO ,BIL between the two analyzers were<0 .05 ,the results were statistical significantly ;Positive detection rates(P value) of GLU ,NIT ,KET ,URO were>0 .05 ;the general accordance rate of LEU ,GLU ,NIT ,KET ,pH were>90% and BLD ,PRO ,URO ,BIL were>70% .Com‐pletely accordance rate except GLU ,NIT ,KET were>90% and the rest of six projects trend lower than normal rate .The kappa value of LEU ,BLD ,GLU ,KET ,URO ,BIL were>0 .40 and PRO ,pH were>0 .30 .Conclusion There is a poor consistency be‐tween the two kinds of urine drychemistry analyzers in the same test condition .It can not to use two different kinds of analyzers in same hospital and should choosing the optimal urine drychemistry analyzers in reference range need on the basis of the particular situations of hospital .Urine drychemistry analyzers is used only for screening ,and the results should be reviewed by urine sediment microscopy in order to meet clinical needs .

Objective To evaluate diffusion weighted imaging (DWI) sequence and apparent diffusion coefficient (ADC) in dif-ferentiation of various solid focal liver lesions (SFLL )commonly encountered .Methods 142 cases with 158 SFLLs underwent breath-hold diffusion weighted imaging (DWI)(b = 500 s/mm2 ) using a 1 .5 Tesla MR scanner .The cases included 7 cases of imma-tured abscesses ,12 cases of FNHs ,74 cases of hepatic cell cancer ,26 cases of cholangiocarcinomaes and 39 cases of metastasises . The signal intensity on DWI ,ADC value and the difference for each type of SFLLs were measured and analyzed .Results 24 cases of SFLLs were manifested as high signal intensity ,132 cases of SFLLs manifested as slightly high signal intensity and only 2 cases of SFLLs manifested as iso-signal intensity on DWI sequence .The mean ADC value ( × 10 - 3 mm2 /s)for immatured abscesses , FNHs ,HCCs ,cholangiocarcinomaes ,metastasises were (1 .48 ± 0 .23) ,(1 .75 ± 0 .26) ,(1 .23 ± 0 .43) ,(1 .47 ± 0 .35) ,(1 .36 ± 0 .33) ,respectively .The difference in ADC values between FNH patients and other SFLLs patients showed statistically significant (P< 0 .01) ,while HCCs immatured abscesses and malignant SFLLs showed no statistical significance (P> 0 .05) .Conclusion The signal intensity on DWI and ADC values may be helpful for diagnosing solid focal liver lesions .

Objective: To compare the accuracy of the original-mirror alignment algorithm and a landmark-independent method in constructing the midsagittal plane (MSP) of the cone beam computed tomography in patients with facial deformities, so as to provide a theoretical basis for symmetric analysis. Methods: The study was approved by the hospital ethics committee. Cone beam computed tomography data of 30 patients with facial deformities were obtained, and the output was saved in DICOM format. The scan data were imported into Mimics 21.0; after segmentation, three-dimensional (3D) skull models were reconstructed. Furthermore, the 3D scan data of skulls were transformed into mirror skull models using Geomagic Studio 2014 reverse engineering software. The MSP of each skull was generated using both the original-mirror alignment algorithm and the landmark-independent method. Original-mirror alignment algorithm: the original skull model and its mirror model were combined, and the new data to calculate the MSP (S1) of the original data in Geomagic Studio 2014 were obtained. Landmark-independent method: the following anatomical landmarks were determined using Mimics 21.0: nasion (N), crista galli (CG), sella (S), basion (Ba), vomer (V), posterior nasal spine (PNS), incisive foramen (IF), and anterior nasal spine (ANS). The MSP (S2) of best fit was then found by minimizing the mean square distance of these eight anatomical landmarks to a plane in Geomagic Studio 2014. The results of the S1 and S2 models constructed using the original-mirror alignment algorithm and the landmark-independent method, respectively, were scored subjectively by five senior maxillofacial surgeons, and a paired t-test was performed for the two groups. The internal consistency analysis was performed based on secondary experiments to verify the repeatability of the expert evaluation method. Results: The average scores of the S1 and S2 models were 65.73 and 75.90, respectively. The average score of the model constructed using the landmark-independent method was significantly higher than that of the model constructed using the original-mirror alignment algorithm (P<0.01). Furthermore, the results of the internal consistency analysis showed that the expert evaluation method had good reliability and validity. Conclusion In patients with facial deformities, the MSP constructed using the landmark-independent method is superior to that constructed using the original-mirror alignment algorithm. This study provides a theoretical basis for maxillofacial symmetry analysis in clinical settings and is clinically feasible.