Objective To study the efficacy of voice therapy combined with Jinsangsanjie pill in patients with vocal nodule .Methods A total of 146 patients with vocal nodes were randomly divided into three groups :45 cases in group A(single Jinsangsanjie pill therapy) ,47 cases in group B(single voice therapy) and 54 cases in group C(voice therapy combined with Jinsangsanjie pill therapy) ,30 healthy adults were as a normal control group .The treatment lasted 1 month .The results were evaluated by voice handicap index ,voice acoustic analysis and electronic laryngo‐scope which were collected before and after 1 month treatments .Results The VHI ,jitter ,shimmer and NNE of all patients were reduced while the MPT was increased after the treatment .The differences were significant (P<0 .05) .VHI 3 .64 ± 2 .12 ,jitter 0 .30% ± 0 .08% ,shimmer 1 .41% ± 0 .31% ,NNE -16 .83 ± 5 .84 dB of group C were significantly lower while MPT 18 .87 ± 3 .38 s and cure rate(93 .5% ) were significantly higher than those of in groupA(7.39±2.56,0.38% ±0.12% ,1.78% ±0.41% ,-13.38±4.42dB,16.38±3.11s,80.5% )andgroupB (23.6±12.5,0.48% ±0.18% ,1.98% ±0.42% ,-9.42±3.82dB,14.98±3.28s,52.4% )(P< 0.05).The VHI ,,jitter shimmer ,NNE of group A were significantly lower .MPT and cure rate were significantly higher than those of in group B .There were no statistical differences in each vocal indicators between group C and the normal control group (P>0 .05) .Conclusion The voice therapy combined with Jinsangsanjie pill in the treatment of vocal nodules is more efficiently ,and can improve patient’s pronunciation features .

Objective:A new algorithm based on Hough transform (HT) was proposed to improve the accuracy and stability of the film image analysis of Automatic Quality Assurance (AQA) test, and to explore the influence of the resolution of film image on the test results.Methods:Nine pairs of films were obtained for AQA modules in this study. Firstly, the median filter was used to preprocess the grayed-out film image to remove noise interference. Then, a global threshold was utilized to binarize the image. The images were edge-detected and the film edge line was extracted by Hough transform. The film image was transformed to the correct position. Finally, the edge of the field shadow circle and the shadow circle of the tungsten ball were extracted by the edge detection method and Hough transform. The radial error was finally obtained by analyzing the concentricity.Results:There was no significant difference in the accuracy between the test results yielded by the HT method and the AQA software ( P>0.05). The difference in the standard deviation of the test results was statistically significant ( P=0.027), indicating that the algorithm increased the stability while ensuring the accuracy of film analysis. Increasing the resolution of film scanning failed to significantly improve the accuracy and stability of film analysis in both two methods. Conclusions:The algorithm used in this study can eliminate the human error caused by film scanning placement while ensuring the accuracy of film analysis, providing a more stable way for the AQA test of the CyberKnife system.