Objective To objectively evaluated of the efficacy of bronchodilation agent by using pulmonary function .Methods 104 childrens with airway hyperresponsive diseases who saw doctor at the Guangdong Women and Children′s Hospital,aged 0~6 years.They were classified into three groups:salbutamol group(n=36);ipratropium bromide group(n=32) and two drugs group(n =36).Each group received salbutamol or ipratropium bromide or both.Then tidal breathing flow-volume loop and parameters were obtained before and after aerosol inhalation to evalu-ate the effects of drugs .Results There were significant improvement in each group after the inhalation of bronchodi -lators.Conclusion The two drugs of Salbutamol and ipratropium bromide can be used as the selective drugs of bron -chodilation .

Objective To compare the treatment effect of laparoscopic appendectomy(LA) and open appendectomy (OA). Methods One hundred and forty-five cases of LA performed from May 2003 to May 2005, and 142 cases of OA performed from June 2001 to March 2003 were studied retrospectively. Results There was no difference in operative time between group LA and group OA. In the procedure of LA, some occult disease could be discovered and treated, while OA was not. The administration of analgesic, activity time, incidence of incision infection and hospital stay in group LA were better than those of OA group. While the cost of hospitalization in LA was higher than that of OA. Conclusion LA has significant advantages in treating appendicitis and it should be promoted.

Objective To study the anti-tumor effects of alcohol extraction of Coix stalk objects on H22 tumor-bearing mice. Methods The animal model of tumor bearing mice with H22 ascitic tumor cells was established. Eighty-four model mice were randomly and equally divided into Coix stalk extract groups 1-5 (10, 8, 6, 4 and 2 g/kg), model control group and cyclophosphamide group. Mice were treated orally with Coix stalk alcohol extraction solution (10, 8, 6, 4 and 2 g/kg), cyclophosphamide 0.02 g/kg and normal saline once a day for 8 days for Coix stalk extract group, cyclophosphamide group and model control group. The mouse activity, the size and the appearance of time of abdominal swelling, and changes of hair, feeding and drinking water quantity were observed in groups of mice. The solid tumor mass was measured in H22 tumor-bearing mice. The tumor inhibitory rate, liver index, spleen index and thymus index were calculated. Results The axillary tumor muster was found first in model control group with the fastest growth, reduced independent activity, decreased appetite and dim in hair color, followed by the Coix stalk extract group 1 and group 2. The last was Coix stalk extract group 5 and cyclophosphamide group. The solid tumor mass were (0.47±0.18), (0.37± 0.13), (0.34±0.10), (0.30±0.11) and (0.28±0.09) mg for Coix stalk alcohol extract groups 1-5, which were significantly lower than those of model control group (0.60 mg±0.21 mg, F=5.700,P<0.05). The tumor inhibition rates were 21.67%, 38.33%, 43.33%, 50.00%, 53.33%and 60.00%in Coix stalk extract groups 1-5 and cyclophosphamide group. The liver index, spleen index and thymus index were lower in cyclophosphamide group and Coix stalk alcohol extract groups than those of model control group (except for the spleen index of Coix stalk extract group 1). The liver index was lower in Coix stalk ethanol extract groups than that of cyclophosphamide group. There were no significant differences in the spleen index, thymus index between Coix stalk ethanol extract groups and cyclophosphamide group. Conclusion Coix stalk alcohol extract has inhibitory effects on the tumor and liver damage in H22 mice.

AIM:To explore the protective effect of ischemic preconditioning on myocardial capillary bed. METHODS: Anesthetized open-chest dogs in ischemic preconditioning (IP) group ( n =6) were subjected to 5 min ischemia and 5 min reperfusion for 4 times in left descending coronary artery (LDA) while the dogs in sham-operated (SO) group ( n =6) were observed for 40 min without any stimulating. Myocardial contrast echocardiography (MCE) was performed before the surgery, at the end of the first and the fourth ischemia and reperfusion period, respectively. Myocardial samples in ischemic area were obtained for capillaries ultrastructure examination and their quantitative analysis was conducted by corresponding imagine analyzing system, then compared within group and between control group. RESULTS: (1) Comparing fourth 5 min ischemia with first one, the percents of area defect in minimum (AD min%) by MCE decreased from 32.6%?5.7% to 21.8%?5.2%( P

Objective:To study the anti-inflammatory and analgesic effects of different solvent extracts of Folium Pyrrosiae. Meth-ods:Water extract and 75% alcohol extract of Folium Pyrrosiae were obtained. Mouse auricle swelling model induced by xylene was used to observe the anti-inflammation. The analgesic effect was tested by acetic acid writhing test and hot plate test. Results:The eth-anol extract of Folium Pyrrosiae could markedly inhibit the mouse auricle swelling induced by xylene (P<0. 01), and had the ability to inhibit the twisting induced by acetic acid in the mice (P <0. 05). The ethanol extract of Folium Pyrrosiae could increase the threshold of pain in the mice significantly after the 1-hour and 2-hour treatment (P<0. 05). The water extract of Folium Pyrrosiae could inhibit the mouse auricle swelling induced by xylene and the writhing reaction induced by acetic acid (P<0. 05). The water ex-tract of Folium Pyrrosiae could increase the threshold of pain in the mice significantly after the 1-hour treatment (P<0. 05). Conclu-sion:Folium Pyrrosiae has obvious analgesic and anti-inflammatory effects.

To analyze correlation among serum homocysteine (Hcy) ,Cysteine C (CysC) levels and severi‐ ty of coronary artery disease .Methods : A total of 220 coronary heart disease (CHD) patients treated in our hospital from Sep 2015 to Dec 2017 were selected as CHD group .According to Gensini score ,CHD group were divided into mild stenosis group (n＝ 63 ) ,moderate stenosis group (n＝ 71 ) and severe stenosis group (n＝ 86 ).Another 200 healthy people were enrolled as healthy control group .Serum Hcy and CysC levels were measured and compared a‐mong all groups .Correlation among serum Hcy , CysC levels and severity of coronary artery disease were analyzed . Results : Compared with healthy control group ,there were significant rise in serum Hcy [ (8.29 ± 1.02) μmol／L vs. (16. 14 ± 3.01) μmol／L] and CysC [ (0. 65 ± 0.11) mg／L vs.(1. 21 ± 0.12) mg／L] levels in CHD group .P＝0. 001 all.Compared with mild stenosis group ,there were significant rise in serum Hcy [(9. 31 ± 1.12) μmol／L vs.(12. 13 ± 3.32) μmol／L vs.(14.61 ± 3.82) μmol／L] and CysC [ (1.05 ± 0.21) mg／L vs.(1. 51 ± 0. 52) mg／L vs.(3.42 ± 1.01) mg／L] levels in moderate stenosis group and severe stenosis group ,and those of severe stenosis group were significantly higher than those of moderate stenosis group , P＝0.001 all.Pearson correlation analysis indicated that serum Hcy ( r＝0.431 , P＝0.004) , CysC ( r＝0.640 , P＝0. 003) levels were significant positively correlated with Gensini score .Conclusion :Serum Hcy and CysC levels is closely correlated with severity of coronary artery disease . Its detect is help for therapeutic effect and prognosis assessment for CHD patients .

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.

Hepatic venous pressure gradient measurement via jugular vein catheterization is still currently the gold standard for evaluating portal hypertension. However, how to accurately and reproducibly assess whether there is portal hypertension has always been a concern in patients with liver cirrhosis. In recent years, imaging methods have made significant progress in the non-invasive diagnosis of portal hypertension. This paper reviews the current different diagnostic value of imaging methods and related research progress in an attempt to evaluate patients with cirrhotic portal hypertension.

To establish a method for isolation, culture and identification of adipose-derived mesenchymal stem cells (ASCs) from the inbreed line miniature pig of Wuzhishan (ILMW).
 Methods: A total of 100 g adipose tissues were obtained from subcutaneous tissues of neck in six-month old healthy ILMW (3 samples, male). ASCs from ILMW (ILMW-ASCs) were isolated from adipose tissues through 0.1% collagenase digestion. The cells at the 3rd, 5th, 8th, 13th passages were collected. Cell morphology, size, phenotype, cell cycle, and apoptosis were monitored. Cell differentiation was induced and cell proliferation curve was drawn.
 Results: The ILMW-ASCs, fibroblast-like or whirlpool-like, began the adherence at 36 h and entered a logarithmic phase in the 5th day. Eighty percent of them were fused in the 7th day. The average diameter and volume of ILMW-ASCs were (17.00±0.54) µm and (2.58±0.24)×10-9 L, respectively. The expressions of CD29, CD44 and CD90 were positive, and there was no significant difference between the different passages (all P>0.05). The expressions of CD45, CD8a and HLA-DR were increased with the increase in passages after the 3th passage (all P<0.05). The adipogenic induction of ILMW-ASCs was observed by positive oil red O staining, and the osteogenic induction of ILMW-ASCs was determined by positive alizarin red staining. Apoptosis and senescence occurred in the 13 passage of ILMW-ASCs, and the proportion of S phase of cell cycle was lower than that in lower passages (all P<0.05). 
 Conclusion: ILMW-ASCs are one of the best choice for porcine ASCs, which might provide a source of candidate stem cells for therapy of large animal disease models and tissue or organ repairment.
Adipose Tissue ; Animals ; Cell Differentiation ; Cells, Cultured ; Male ; Mesenchymal Stem Cells ; Swine ; Swine, Miniature