Objective To evaluate the efficacy and safety of intravenous thrombolysiswith urokinase combined with emergency interventional therapy acute myocardial infarction(AMI).Methods 128 patients with AMI were randomized to thrombolysis plus PCI group and primary PCI group,the patency rate of infarct related artery(IRA) before intervention,the procedural success rate,the incidence of bleeding complications and acute ischemic events during hospitalization and the left ventricular ejection function(LVEF) measured by echocardiography before discharge were compared.Results The IRA patency rate in the thombolysis plus PCI group(65.7%) was significantly higher than that in the primary PCI group(24.3%)(P

Objective To analyze the composing principles of Astragali Radix in Drug Standard of Ministry of Public Health of the People’s Republic of China-TCM Prescription Preparation;To provide references for clinical application and research and development of new medicine. Methods Traditional Chinese Medicine Inheritance Support System (V2.0) was used to establish database. Data mining methods, such as association rules, improved mutual information method, were used to analyze the diseases, syndrome rules, and common composing combinations of prescriptions containing Astragali Radix. Results Through analysis on the 446 cases of prescriptions containing Astragali Radix, 16 core medicine combinations and 18 diseases were discovered. Then, based on the 18 diseases, insomnia, consumptive disease and vertigo were chosen to make comparative analysis, the medicine using regularity and compatibility features of Astragali Radix in different diseases were disclosed. Conclusion Herbal medicines used frequently in prescriptions containing Astragali Radix could tonify qi and nourish blood. The medicine using is relatively concentrated, and the composition is clear. The composing principles reflect the compatibility features of Astragali Radix in treating different diseases, which are in accordance with the clinical application of multiple-efficacy Chinese medicine.

Objective ToinvestigatethefeasibilityofspectralvirtualnonGcontrast(VNC)takingtheplaceoftruenonGcontrast (TNC)inthyroiddiseases.Methods CTimagesof30patientswiththyroiddiseasewerecollected,includingTNC,spectraldualGphase contrastandconventionaldelayedcontrastimaging.36lesionswithcorrespondingsurgeryandpathologicalconditionswereselected forretrospectiveanalysis.Theradiationdose,imagequality,meanCTvalues,SNRanddiagnosticefficacybetweenTNCand VNC werecompared.Results Theeffectivedose(ED)andtotaldoseGlengthproduct(DLP)ofthespectraldualGphasecontrastscanswere bothsignificantlylowerthanthoseofTNCincombinationwithconventionaldualGphasecontrast(P＜0.05).Thesubjectivequality scoreofVNCwasslightlylowerthanthatofTNC (P＜0.05),howeveritwasacceptableforradiologistwithascoreabove3.The SNRofVNCimageswassignificantlylowerthanthatofTNC (P＜0.05).The meanCTvaluesofVNCimageswerelowerthan thoseofTNCimagesbutwithoutasignificantdifference(P＞0.05).TheabilityofVNCtodelineatenecrosis,calcification,andlymph nodemetastasisinthelesionwasconsistentwithTNC (k＞0.75).Conclusion TheimagequalityofVNCissatisfiedinthediagnosis ofthyroiddiseases.VNChassimilardiagnosticefficacytoTNCwitheffectivelyreducdingradiationdose,whichisapromisingclinical application.

Objective: To explore the value of dynamic contrast-enhanced MRI (DCE-MRI) based radiomics model in predicting the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) of breast cancer. Methods: In this retrospective study, 91 patients who had received NAC and had pathological response results were collected in Meizhou people′s hospital from January 2016 to August 2018. A primary cohort consisted of 63 patients and an independent validation cohort consisted of 28 patients. The patients were divided into pCR group of 23 cases and non-pathological complete response (Non-pCR) group of 68 cases. All the patients underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) before NAC. A list of radiomics features were extracted using the A.K software and the corresponding radiomics signature was constructed. Logistic regression was used to develop the prediction model. The predictive ability of the model was tested by using the area under the curve (AUC) of ROC analysis. Results: The discrimination performance of radiomics signature yielded a AUC of 0.750 in the primary dataset and a AUC of 0.789 in the validation dataset. The model that incorporated estrogen receptor (ER), progesterone receptor (PR) and radiomics features was developed, and had an AUC of 0.859 in the primary dataset and an AUC of 0.905 in the validation dataset. Conclusion The radiomics predictive model, which integrated with the DCE-MRI based radiomics signature, ER and PR, can be used as a promising and applicable adjunct approach for predicting the pCR to NAC of breast cancer.

OBJECTIVETo evaluate the effects of different CO(2) pneumoperitoneum conditions on renal function in rats and provide experimental evidence for improving renal graft function after transplantation.

METHODSSD rats were randomized into 10 groups (n=12) and subject to CO(2) pneumoperitoneum at different pressures (0.67, 1.33 and 2.0 kPa) for 60 or 120 min. Serum urea nitrogen (BUN), creatinine (Cr) and N-acetyl-β-D-glocosaminidase (NAG) levels were detected after pneumoperitoneum.

RESULTSAs the pressure and time of pneumoperitoneum increased, the renal function deteriorated gradually, showing significant differences between the groups (P<0.05).

CONCLUSIONIncreased pressure and prolonged duration of CO(2) pneumoperitoneum causes impairment of the renal function, suggesting the necessity of reducing the operative time and lowering the pressure of pneumoperitoneum when harvesting renal graft in living donors.

Animals ; Carbon Dioxide ; Female ; Kidney ; physiology ; Kidney Transplantation ; Laparoscopy ; methods ; Male ; Nephrectomy ; methods ; Pneumoperitoneum, Artificial ; adverse effects ; methods ; Rats ; Rats, Sprague-Dawley ; Retroperitoneal Space ; surgery ; Time Factors ; Tissue and Organ Harvesting ; methods

Objective ToinvestigatethecorrelationandthediagnosticefficiencyofquantitativeDCE-MRIparametersandADC valueinhistopathologicalgradeinpatients withinvasiveductalbreastcancer.Methods The DCE-MRIquantitativeparameters (Ktrans,KepandVe),semiquantitativeparameters(W-in,W-outandTTP)andtheADCvaluewereanalyzedandcomparedaccording bydifferenthistopathologicalgradein90invasiveductalbreastcancerpatients.Results ThemeanvalueofKtrans washigheringradeⅢgroupthanthatingradeⅡgroup,andthemeanvalueofADCwasloweringradeⅢgroupthanthatingradeⅡgroup.Thedifferenceswere statisticallysignificant(P<0.05),butthecorrelationswereweak(|r|<0.30).TherewerenostatisticallysignificantdifferencesamongKep, Ve,W-in,W-out,TTPingradeⅡandgradeⅢ (P>0.05).TheAUCofKtrans,ADCandKtranscombinedwithADCwere0.647,0.685 and0.749,respectively.Conclusion TheDCE-MRIquantitativeparametersKtransandADCvaluehavecorrelationswithhistopathologicalgradeof invasiveductalbreastcancer.HigherKtransandlowerADCvalueindicatehigherhistologicalgrade,andKtranscombinedwithADCcould improvethediagnosticefficiency.

Background: Androgenetic alopecia (AGA) leads to thinning of scalp hair and affects 60%~70% of the adult population worldwide. Developing more effective treatments and studying its mechanism are of great significance. Previous clinical studies have revealed that hair growth is stimulated by 650-nm red light. Objective: This study aimed to explore the effect and mechanism of 650-nm red light on the treatment of AGA by using ex vivo hair follicle culture. Methods: Human hair follicles were obtained from hair transplant patients with AGA. Hair follicles were cultured in Williams E medium and treated with or without 650-nm red light.Real-time RT-PCR and immunofluorescence staining were used to detect the expression level of genes and proteins in hair follicles, respectively. RNA-sequencing analysis was carried out to reveal the distinct gene signatures upon 650 nm treatment. Results: Low-level 650 nm red light promoted the proliferation of human hair follicles in the experimental cultured-tissue model. Consistently, 650 nm red light significantly delayed the transition of hair cycle from anagen to catagen in vitro. RNA-seq analysis and gene clustering for the differentially expressed genes suggests that leukocyte transendothelial migration, metabolism, adherens junction and other biological process maybe involved in stimulation of hair follicles by 650-nm red light treatment. Conclusion The effect of 650-nm red light on ex vivo hair follicles and the transcriptome set which implicates the role of red light in promoting hair growth and reversing of miniaturization process of AGA were identified.

Epimedii folium is a commonly used Traditional Chinese Medicine (TCM) for warming the kidney and strengthening the yang qi. It has androgen-estrogen-like effect. It can not only directly act on sexual organs to regulate hormone levels, but also exert sex-hormone-like effect through hypothalamus-pituitary-gonadal axis. Its regulation of hormone levels is similar to that of plant hormones. At present, Epimedii folium is commonly used with other TCMs to treat diseases caused by sex-hormone deficiency, such as male spermatopenia, asthenospermia, benign prostatic hyperplasia, functional erectile dysfunction, female premature ovarian failure, perimenopausal syndrome, dysfunctional infertility during ovulation, hyperandrogenemia of PCOS patients, etc.

Objective To explore the predictive value of the enhanced CT imaging-based radiomics model and the clinical model for the serosal invasion in advanced gastric cancer.Methods The data were collected from 351 patients with advanced gastric cancer who underwent abdominal enhanced CT examination within 2 weeks before surgery,and the patients were randomly divided into a training group(n=247)and a validation group(n=104)in a ratio of 7:3.The 3190 radiomics features which were extracted from the arterial and venous phase CT images using A.K software were dimensionally reduced for constructing a radiomics model.The pathological features between serosal invasion positive and negative groups were compared,and the significant features were used to establish a clinical model.The model's performance was evaluated using receiver operating characteristic curve.Results In the training and validation groups,N staging and M staging were different in serosal invasion positive and negative groups(P<0.05).A total of 14 radiomic features were ultimately selected from the arterial and venous phase images.In the validation group,the diagnostic efficacy of the radiomic model for predicting serosal invasion in advanced gastric cancer was higher than that of the clinical model based on the combination of N staging and M staging(AUC:0.854 vs 0.793).Conclusion Both the radiomics model based on the enhanced CT imaging and the clinical model based on the combination of N staging and M staging can successfully predict serosal invasion in advanced gastric cancer,but the former performs better.