Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for improving image quality of 80 kVp low-dose CT enterography(CTE)for Crohn disease(CD).Methods Totally 59 patients with CD who underwent 80 kVp low-dose CTE were retrospectively enrolled,and CTE images were reconstructed with hybrid iterative reconstruction(HIR)(HIR group)and AIIR(AIIR group),respectively.Then subjective and objective scores of image quality were evaluated and compared between groups,and the value of AIIR was analyzed.Results Compared with HIR group,AIIR group clearly displayed the intestinal wall,intestinal lumen,mesenteric vessels and peri-intestinal soft tissue,and displayed typical CD signs more obviously,with higher subjective scores of imaging quality(all P＜0.001).The standard deviation(SD)was lower,while signal-to-noise ratio(SNR)of intestinal walls without disease,SNR and contrast-to-noise ratio(CNR)of diseased intestinal walls in AIIR group were all higher than those in HIR group(all P＜0.001).The effective dose of 80 kVp CTE examination was(2.82±0.54)mSv.Conclusion AIIR was helpful for improving image quality of 80 kVp low-dose CTE for CD.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for improving image quality of 80 kVp low-dose CT enterography(CTE)for Crohn disease(CD).Methods Totally 59 patients with CD who underwent 80 kVp low-dose CTE were retrospectively enrolled,and CTE images were reconstructed with hybrid iterative reconstruction(HIR)(HIR group)and AIIR(AIIR group),respectively.Then subjective and objective scores of image quality were evaluated and compared between groups,and the value of AIIR was analyzed.Results Compared with HIR group,AIIR group clearly displayed the intestinal wall,intestinal lumen,mesenteric vessels and peri-intestinal soft tissue,and displayed typical CD signs more obviously,with higher subjective scores of imaging quality(all P＜0.001).The standard deviation(SD)was lower,while signal-to-noise ratio(SNR)of intestinal walls without disease,SNR and contrast-to-noise ratio(CNR)of diseased intestinal walls in AIIR group were all higher than those in HIR group(all P＜0.001).The effective dose of 80 kVp CTE examination was(2.82±0.54)mSv.Conclusion AIIR was helpful for improving image quality of 80 kVp low-dose CTE for CD.

OBJECTIVE To establish the HPLC fingerprint of Xintongshu spray， determine the contents of identified components， and investigate the transferring patterns of the index components of decoction pieces， intermediates and spray， so as to provide scientific reference for technology management and quality control of Xintongshu spray. METHODS HPLC fingerprints of 13 batches of Xintongshu spray were established by the Similarity Evaluation System for Chromatographic Fingerprints of TCM （2012 edition）， and common peaks were identified； the contents of identified components were determined by HPLC. The paeonol in Moutan Cortex and ferulic acid in Chuanxiong Rhizoma were used as index components to investigate the transferring patterns of them in decoction pieces， intermediates and spray. RESULTS There were a total of 33 common peaks in the fingerprints of 13 batches of Xintongshu spray， and the similarities were more than 0.994. Eight components were identified， i.e. gallic acid （peak 5）， oxypaeoniflorin （peak 9）， chlorogenic acid（peak 10）， caffeic acid （peak 14）， paeoniflorin （peak 17）， ferulic acid （peak 21）， senkyunolide Ⅰ （peak 27） and paeonol （peak 31）. The contents of 8 components ranged from 0.590 3- 0.719 7， 0.565 7-0.851 3， 0.279 4-0.368 1， 0.080 6-0.106 1， 1.922 5-3.033 5， 0.151 3-0.191 6， 0.250 6-0.336 0， 3.056 7-4.161 0 mg/mL， respectively. The average transfer rates of paeonol and ferulic acid from decoction pieces to sprays were 63.76% and 38.06%， respectively. It was also found that the process in which the loss of paeonol was more than 30% was the extraction by percolation and negative pressure concentration of Moutan Cortex. The process in which the loss of ferulic acid was more than 50% was the steam distillation extraction process of Chuanxiong Rhizoma. CONCLUSIONS The established HPLC fingerprint and content determination method of Xintongshu spray are reproducible and specific. The key processes that cause a decrease in the average transfer rates of the index components are the extraction by percolation and negative pressure concentration of Moutan Cortex and steam distillation extraction of Chuanxiong Rhizoma.

Objective:To understand the current situation of scientific research ability and training needs of community nurses in China.Methods:The convenient sampling method was used to select 3 633 community nurses from 16 provinces/autonomous regions/municipalities from June to August 2021 to investigate. The contents of the questionnaire included general information, Self-Assessment Scale of Scientific Research Ability for Nursing Staff, scientific research attitude and training needs. A total of 3 633 questionnaires were recovered, of which 3 561 were valid, with an effective recovery rate of 98.0%. Univariate analysis and multiple linear regression analysis were used to analyze the influencing factors of the total score of self-assessment of scientific research ability of community nurses.Results:The total score of scientific research ability of 3 561 community nurses was 39.00 (28.00, 60.00) . The results of multiple linear regression analysis showed that nursing working years, highest education, received research courses/training, working experience in academic organizations/academic journals, participating in academic conferences or above the municipal level in the past 5 years and having plans to improve academic qualifications in the next 5 years were the influencing factors of scientific research ability of community nurses ( P<0.05) , jointly explained 15.4% of the total variance (adjusted R2=0.154, P<0.001) . Community nurses had training needs in data collection and organization, scientific research design, literature retrieval, scientific research topic selection, data statistical analysis and statistical software operation and submission skills. Conclusions:Subjective self-assessment scientific research ability and objective scientific research output of community nurses need to be improved and key scientific research talents need to be cultivated.