Objective To investigate the application significance of 3.0T MR three dimensional double-echo steady state(3D-DESS) and three dimensional-true fast imaging with steady-state procession(3D-True FISP) sequences in diagnosis of wrist cartilage of rheumatoid arthritis (RA).Methods 26 patients who were clinically diagnosed with RA underwent wrist MR scans with 3D-DESS and 3D-True FISP sequences, while both sequences' scanning were achieved on 20 of them.340 articular-surface morphological conditions' were observed,which were divided into level 0, level 1 and level 2 damages according to morphological performance,and recorded on 3D-DESS and 3D-True FISP sequence respectively.The diagnostic differences in the number of lesions were compared for two sequences.Results The numbers were 79 and 50 for level 1 damage and 23 and 33 for level 2 damage on 3D-DESS and 3D-True FISP sequence respectively (P<0.05).The artifacts were showed in 14 patients on 3D-True FISP,and only two patients on 3D-DESS.Conclusion 3D-DESS sequence does better than 3D-True FISP in displaying RA wrist cartilage,which is able to provide certain help for treatment and prognosis evaluation of RA.

Through the construction practice of the optic nerve disease picture database,the paper discusses the system architecture,database field,data content,picture processing,organization and implementation,and other issues about the construction of the clinical case picture database,states and analyzes the operation effect,points out deficiencies,and provides reference for the construction of relevant picture databases.

Objective To systematically evaluate the real-life experience of stroke patients in the hospital-home transition period,and to provide a reference for better clinical development of transitional nursing practice.Methods We searched PubMed,Web of Science,Embase,CINAHL,Cochrane library,CNKI,Wanfang Data,VIP database,and China Biomedical Literature Database for qualitative studies on the real experience of stroke patients in the hospital-to-home transition period from the establishment of the database to October 2023.The quality of the literature was evaluated using the Joanna Brigg Institute(JBI)Australian Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research(2016),and the results were integrated using meta-integration methods.Results A total of 14 studies were included,and 48 research results were extracted and 9 categories were summarized.The final synthesis included 3 integrated results:the discharge preparation period was in contradiction;after being discharged from the hospital,life changed dramatically and there was a variety of transition barriers;active response to illness and the experience of self-growth.Conclusion The hospital-home transition period for stroke patients is a critical period for patients'rehabilitation,and medical staff should strengthen the implementation of the transitional discharge plan,strengthen the connection between hospitals and families and communities,pay attention to the psychological experience of patients,so as to help stroke patients achieve a smooth transition from hospital to home.

Objective:To establish an interpretive reporting system for urinalysis based on artificial intelligence (AI).Methods:Urine tests were collected from the First Affiliated Hospital, College of Medicine, Zhejiang University from 2008 to 2018, including 2 899 917 patient tests and 710 971 physical check-up tests. Then we set up a large population distribution with the frequency of different results of each item and established a health index of each sample and an abnormal level of each item according to data distribution, importance and degree of abnormality. We collected data of seven diseases, such as diabetes mellitus, urinary tract infection, glomerulonephritis and nephrotic syndrome, and matched them with a same number of healthy control group by gender and age. An integrated learner based on the AdaBoost algorithm was used to establish a diagnostic model and assess its algorithm performance. JAVA was used to develop data presentation software. The accuracy of the AI model for disease judgment was assessed by manual verification using 199 abnormal urine tests.Results:Each report could be graded as four levels: normal, abnormal, ill and critical. Each item could be judged as normal, mild, moderate, severe or extreme and the population distribution was provided with big data. The training accuracy, true positive rate and area under the curve were ≥88.3%, ≥80.0%, and ≥0.954 respectively using the machine learning model based on AdaBoost. The developed JAVA software presented the above results and displayed medical records and results, historical results, personalized advice, patient education and position in large population data. By manual verification, the accuracy rate of the AI model for disease judgment was 82.41% (166/199).Conclusion:This study established an intelligent interpretive reporting system for urine test results. It can distinguish the abnormality of each report, predict the disease of patients, and make personalized clinical decisions.

Objective To summarize the most robust evidence on application timing and management strategies for chronic wound oxygen therapy and to provide an evidence-based basis for standardizing clinical practice.Methods A systematic literature search of BMJ Best Practice,UpToDate,NICE,SIGN,GIN,NZGG,NGC,RNAO,WOCN,WUWHS,APWCA,IWII,WHS,WI,AWMA,WCET,ESVS,AAWC,Medlive,JBI,Cochrane Library,PubMed,Embase,Web of Science,CNKI,Wanfang and VIP was conducted to collect the literature including clinical decision resources,guidelines,expert consensuses,evidence summaries,systematic reviews,and meta-analyses related to the application timing and management strategies for chronic wound oxygen therapy.The search period spanned from October 13,2018,to October 13,2023.There were 2 researchers who assessed the quality of the included literature,extracted relevant data,and synthesized the evidence.Results In total,we included 28 pieces of literature,consisting of 6 guidelines,4 expert consensus papers,3 evidence summaries,and 15 systematic reviews.From these sources,we distilled 18 pieces of evidence including 7 aspects of indications,contraindications,application timing,assessment,management strategies,effectiveness,and adverse reactions of hyperbaric oxygen therapy;12 pieces of evidence from 6 aspects of indications,application time,assessment,management strategies,effectiveness,and adverse reactions of local oxygen therapy.Conclusion Oxygen therapy can be used as an adjunct therapy for chronic wound management.Clinical practitioners should fully evaluate the scope and timing of the application of oxygen therapy,consider the feasibility,suitability,clinical signific ance,and effectiveness of evidence based on the specific clinical situations,and apply evidence in combination with patient preferences to promote chronic wound healing.