Objective To compare the efficacy of three kinds of neurolytic celiac plexus block (NCPB) in the patients with upper abdominal cancer pain.Methods Sixty-seven patients of both sexes,with upper abdominal cancer,aged 45-64 yr,weighing 52-69 kg,were randomly divided into 3 groups using a random number table:single-needle NCPB using crura of diaphragm space approach group (group S,n =23),double-needle NCPB via an anterior and posterior crura of diaphragm space approach group (group D,n =22),and continuous NCPB via crura of diaphragm space approach group (group C,n =22).In S and D groups,NCPB was performed with single injection of anhydrous alcohol 25-30 ml after CT-guided successful single and double punctures,respectively.In group C,a catheter was inserted into the crura of diaphragm space and then anhydrous alcohol 25-30 ml was injected via the catheter once a day for 3 consecutive days to perform NCPB.Before treatment,at 1 week after treatment,1,2,4 and 6 months after treatment,the daily consumption of morphine and VAS score were recorded.The therapeutic efficacy was evaluated using VAS weighted value calculation.The development of adverse effects such as diarrhea,hypotension,dysuria and damage to nerves was recorded.Results Compared with S or D groups,the daily consumption of morphine was significantly decreased at 4-6 months after treatment,the rate of effective treatment was increased at 4-6 months after treatment,and the incidence of hypotension was decreased in group C.The incidence of diarrhea was significantly higher in D and C groups than in group S.Conclusion For the patients with upper abdominal cancer pain,continuous NCPB via crura ofdiaphragm space approach provides perfect efficacy with fewer adverse reactions,and the efficacy is better than that of single-needle NCPB using crura of diaphragm space approach or double-needle NCPB via an anterior and posterior crura of diaphragm space approach.

Objective To analyze and summarize the clinical features of delayed occurrence of senile asthma,to add the knowledge and understanding of the disease. Methods To retrospectively analyze clinical data of the cases of senile asthma treated in our hospital,all the cases were divided into groups of early onset senile asthma and delayed occurrence senile asthma,according to the age of first onset.Then related indexes were analyzed,to summarize the clinical features of group of delayed occurrence of senile asthma. Results There were 28 cases of delayed occurrence of senile asthma,accounting for 34.6% of total cases.Compared to early onset group,there was no significant difference (all P＞0.05) between two groups for the following items such as age,allergic history and positive rate of family's history,disease causes,clinical symptoms,basic diseases and complications,proportion of severe cases,rate of misdiagnosis and mistreatment,proportion of standardized treatment and un-standardized treatment,prognosis of diseases and mortality.Both groups had low rate of knowledge and application on PEF monitoring equipment and ACT score.The period of misdiagnosis and mistreatment for delayed occurrence group was shorter than the early onset group (P＜0.05＝; the seasonal nature and day and night pattern was significant in delayed occurrence group (P＜0.05＝. Conclusion Late onset elderly asthma had the features such as shorter course of the disease,relatively obvious onset rule during day and night,and obvious symptoms during night,which are different from that of early onset group.

Objective:To investigate the application value of CT and MRI imageomics based on machine learning method in the diagnosis of pancreatic cancer.Methods:The clinical data of 62 patients with surgically resected and pathologically confirmed pancreatic cancer, who underwent enhanced CT scan, MRI plain or enhanced scan in Shanghai General Hospital between January 2014 and December 2021 were collected. According to the chronological order of surgery, 49 patients from January 2014 to December 2020 were enrolled in the training set and 13 patients from January 2021 to December 2021 were enrolled in the validation set. 3D-slicer 4.8.1 software was used to draw the region of interest in each layer of CT and MRI images for cancerous and paracancerous tissue segment. Image features were extracted by Python and the optimal feature set from the training set data was obtained by using Lasso regression model. The machine learning decision tree model was constructed. The receiver operating characteristic curve(ROC) curve was drawn, and the area under the curve (AUC) was calculated to evaluate the value of these three kinds of imageomics models in the diagnosis of pancreatic cancer.Results:The 1 767 CT features and 1 674 MRI features were obtained from enhanced CT scan, MRI plain scan and enhanced MRI scan, respectively. For the differential diagnosis model of cancerous tissue and paracancerous tissue, the enhanced CT scan data model obtained the optimal feature set involving 6 features, the MRI plain scan model obtained the optimal feature set involving 16 features, and the enhanced MRI scan model obtained the optimal feature set involving 15 features. The diagnostic model based on enhanced CT scan had an AUC of 0.98 in the training set and 1 in the verification group. The AUC of the MRI plain scan and enhanced MRI scan models in both the training set and the validation set was 1. The specificity and sensitivity of machine learning decision tree model based on the three kinds of imageomics models in the diagnosis of cancerous tissue and paracancerous tissue were 100%. For the differential diagnosis model of splenic artery wrapping, the enhanced CT scan model didn′t obtain the optimal features and had no diagnostic efficacy. The MRI plain scan model and enhanced MRI scan model obtained the optimal feature set involving 5 and 4 features, respectively. The AUC of the MRI plain scan model in the training set and the validation set were 0.862 and 0.750, respectively, with diagnostic sensitivity of 93.8% and 50.0%, and specificity of 78.6% and 100%, respectively. The AUC of the enhanced MRI scan model in the training set and the validation set were 0.950 and 0.861, respectively, with diagnostic sensitivity of 90.0% and 93.6%, and specificity of 100% and 78.6%, respectively.Conclusions:Based on the radiomics of CT enhanced, MRI plain scan and enhanced MRI scan, the machine learning diagnostic model has an accuracy of more than 90% in differentiating pancreatic cancer from paracancerous tissue. For the differentiation of splenic artery wrapping in pancreatic cancer, the diagnostic model based on enhanced MRI scan haS the best diagnostic efficiency.

Objective To summarize the preliminary application results of ultrasound-guided biliary drainage tube replacement, present the corresponding technical points, and discuss the operation strategy and clinical application value. Methods The clinical data of 60 patients who underwent ultrasound-guided biliary drainage tube replacement in Qilu Hospital of Shandong University between August 2014 and August 2020 were retrospectively analyzed. The operation procedure, clinical applications, and postoperative complications were summarized and analyzed. Results Fifty-eight of the 60 patients (96.67%) were successfully replaced with drainage tubes along the original sinus. Among them, dilated sinus tracts of 47 patients were placed with coarse-grade drainage tubes, and dilated sinus tracts of the remaining 11 patients were placed with the original type of drainage tubes, with the mean operation time of 15.8(12.0-19.0) min under local anesthesia. In total, bile was drained from 28 patients receiving PTCD drainage, 23 patients receiving gallbladder drainage, and 9 patients receiving T-tube drainage. The post-operation evaluation revealed that the drainage situation has improved, with a 100% effective rate. No obvious abnormality was found in the postoperative follow-up visit. Conclusion The replacement of drainage tube under ultrasound guidance is simple, safe and feasible, and it provides further promotion in clinical practice with sufficient data support.