1.Clinical efficacy of shuxuetong in treatment of pulmonary fibrosislh
Yu LIANG ; Lingxiu JIANG ; Wenjing QIN ; Yuanying SHAN ; Derong MENG
China Modern Doctor 2015;(10):123-125
Objective To discuss clinical efficacy of shuxuetong in treatment of pulmonary fibrosis. Methods Selected 60 cases with pulmonary fibrosis and they were divided into control group of 30 cases treated by prednisone and study group of 30 cases treated by shuxuetong based on treatment of prednisone. Lung function, arterial blood gas and lung CT were compared. Results The efficiency of study group was higher than control group (P<0.01). FEV1 of study group after treatment was higher than before treatment, and was higher than control group after treatment(P all<0.05). PaO2 of study group after treatment improved apparently, and was higher than control group (P<0.05). Conclusion Clinical effi-cacy and lung function of mild, moderate pulmonary fibrosis patients are improved with treatment of shuxuetong based on prednisone.
2.Serum IL-13, TGF-β1, IL-8 levels in idiopathic pulmonary fibrosis and correlation with lung function
Yu LIANG ; Lingxiu JIANG ; Wenjing QIN ; Yuanying SHAN ; Derong MENG
China Modern Doctor 2015;(11):1-3
Objective To discuss serum IL-13, TGF-β1, IL-8 levels in idiopathic pulmonary fibrosis and correlation with lung function. Methods A total of 60 cases with idiopathic pulmonary fibrosis were selected as pulmonary fibrosis group, and 60 healthy volunteers were selected as control group. Serum IL-13, TGF-β1, IL-8, arterial blood gas analy-sis and related indicators of lung function were detected. Results Serum IL-13, TGF-β1, IL-8 levels of idiopathic pul-monary fibrosis group were higher than the control group(P<0.01). TGF-β1, IL-8 were significantly negative correlation with FVC predicted percentage (P<0.01); TGF-β1, IL-13 were significantly negative correlation with FEV1 predicted percentage (P<0.01); TGF-β1 and PaO2 was significantly negative correlation, and TGF-β1, IL-8 were significantly positive correlation with P(A-a)O2 (P<0.01);IL-8 was significantly negative correlation with PaO2 and SaO2 (P<0.01). Conclusion Serum IL-13, TGF-β1, IL-8 levels in idiopathic pulmonary fibrosis increase significantly, and are nega-tive correlation with lung function.
3.Effects of Xingnaojing injection on plasma MMP-9 and TIMP-1 for pa-tients with cerebral hemorrhage
Lingxiu JIANG ; Yu LIANG ; Wenwu CHEN ; Mengzhou XUE
China Modern Doctor 2015;53(35):5-7
Objective To explore the effects of Xingnaojing injection on plasma MMP-9 and TIMP-1 levels for patients with cerebral hemorrhage. Methods A total of 60 patients with acute cerebral hemorrhage from February 2014 to May 2015 were selected as research subjects and randomly divided into the research group and the control group, with 30 patients in each group. The research group was given Xingnaojing injection on the basis of regular treatment, and the control group was given regular treatment. The plasma MMP-9 and TIMP-1 levels of the two groups of patients were compared, and the correlation between MMP-9 and TIMP-1 levels in the patients and their correlation with cere-bral edema were analyzed. Results On the fifth day of onset of the disease in the two groups of patients, MMP-9 and TIMP-1 levels were significantly increased, and the levels were reduced on the 14th day. On the fifth day and 14th day of onset of the disease in the research group, MMP-9 level was significantly lower than that in the control group, and TIMP-1 level was significantly higher than that in the control group. The differences were statistically significant (P<0.01). In 24 h, the volume of cerebral edema in the two groups was positively correlated to MMP-9 (r=0.682, P=0.761), and was significantly negatively correlated to TIMP-1(r=-0.489, P=-0.619); on the 14th day, the volume of cerebral edema was positively correlated to MMP-9 (r=0.516, P=0.835). Conclusion Xingnaojing is able to significantly reduce the increasing degree of MMP-1 in the patients with cerebral hemorrhage, enhance the increasing degree of TIMP-1, and improve patients' cerebral edema.
4.Research and application of artificial intelligence quality control model of fetal heart in the first trimester
Qiaozhen ZHU ; Ying TAN ; Meifang ZHANG ; Xin WEN ; Yao JIANG ; Yue QIN ; Ying YUAN ; Hongbo GUO ; Guiyan PENG ; Wenlan HUANG ; Lingxiu HOU ; Shengli LI
Chinese Journal of Ultrasonography 2023;32(11):952-958
Objective:To develop an artificial intelligence (AI) quality control model of fetal heart in the first trimester and verify its effectiveness.Methods:A total of 18 694 images of the four-chamber view(4CV) and three-vessel and tracheal view(3VT) of fetal heart in the first trimester were selected from Shenzhen Maternal and Child Health Hospital Affiliated to Southern Medical University since January 2022 to December 2022. A total of 14 432 images were manually annotated. The one-stage target detection algorithm YOLO V5 was used to train the AI quality control model in the first trimester of fetal heart, and 4 262 images (golden standard set by expert group) were used to evaluate the application effectiveness of AI quality control model. Kappa consistency test was used to compare the results of section classification and standard degree judgment from AI quality control model, Doctor 1(D1) and Doctor 2(D2).Results:①Precision of the AI quality control model was 0.895, recall was 0.852, mean average precision (mAP 50) was 0.873.The average precision(AP) of the AI quality control model for section classification was 0.907 (4CV) and 0.989 (3VT), respectively. ②Compared with the gold standard, the overall coincidence rate and consistency of section classification of AI quality control model, D1 and D2 were 99.91% (Kappa=0.998), 100% (Kappa=1.000), 100% (Kappa=1.000), respectively. The coincidence rate and consistency of the plane standard degree evaluation from the AI quality control model, D1 and D2 were 97.46% (Weighted Kappa=0.932), 93.73% (Weighted Kappa=0.847), and 93.12% (Weighted Kappa=0.832), respectively. Strong consistency was displayed. Moreover, AI quality control model showed the highest coincidence rate and the strongest consistency in judging section standard degree, which was superior to manual quality control. The time-consuming of AI quality control (0.012 s/sheet) was significantly less than the way of manual quality control (4.76-6.11 s/sheet)( Z=-8.079, P<0.001). Conclusions:The use of artificial intelligent fetal heart quality control model in the first trimester can effectively and accurately control the image quality.