Objective To explore the application value of dual-phase dual-energy CT (DECT) perfusion imaging in preoperative lung function assessment of lung cancer patients. Methods Data were collected from patients with stageⅠA non-small cell lung cancer who underwent surgical treatment in the Department of Thoracic Surgery, the First Affiliated Hospital of Nanjing Medical University, from November 2022 to June 2024. All patients underwent DECT perfusion imaging and pulmonary function testing (PFT) before surgery. PFT observation indicators included ventilation function indicators such as forced expiratory volume in one second (FEV1), forced vital capacity (FVC), 1-second rate (FEV1/FVC), maximal voluntary ventilation (MVV), and diffusion function indicators such as diffusing capacity for carbon monoxide (DLCO) and DLCO per liter of alveolar volume (DLCO/VA). The software eXamine was used to obtain quantitative parameters of DECT perfusion imaging, including volume parameters and perfusion parameters of both lungs and each lung lobe. The correlation between the volume parameters and perfusion parameters of both lungs and the ventilation and diffusion function indicators of the patients, as well as the differences in quantitative parameters of each lung lobe, was analyzed. Results The end-inspiration lung volume and biphasic volume difference were strongly positively correlated with FEV1 and FVC (r=0.636, r=0.682, r=0.614, r=0.624, P<0.001) and moderately positively correlated with MVV and DLCO (r=0.499, r=0.514, r=0.549, r=0.447, P<0.001); the end-expiration lung volume was weakly negatively correlated with DLCO/VA (r=−0.295, P=0.026); the volume ratio was positively correlated with FEV1, FVC, MVV, and MVV% (r=0.424, r=0.399, r=0.415, r=0.310, P<0.05); the end-inspiration iodine content was weakly positively correlated with DLCO/VA% (rs=0.292, P=0.030); the end-expiration iodine content was weakly positively correlated with FEV1, FVC, MVV, DLCO%, and DLCO/VA (r=0.307, r=0.299, r=0.295, r=0.366, r=0.320, P<0.05) and moderately positively correlated with DLCO (r=0.439, P<0.001); the end-inspiration iodine concentration was negatively correlated with FEV1, FVC, MVV, and MVV% (rs=−0.407, rs=−0.426, rs=−0.352, rs=−0.277, P＜0.05); the end-expiratory phase iodine concentration was moderately positively correlated with DLCO/VA (r=0.403, P=0.002); both the iodine concentration difference and the iodine concentration ratio were moderately positively correlated with FEV1, FEV1%, FVC, MVV, MVV% (P<0.05). The lung volume and iodine concentration ratio values were both highest in the left upper lung lobe and lowest in the right middle lung lobe; the differences in lung volume, lung volume ratio, intrapulmonary iodine content, and intrapulmonary iodine concentration were all highest in the lower lobes of both lungs and lowest in the middle lobe of the right lung. Conclusion Dual-phase DECT perfusion imaging can accurately assess overall lung function and quantify regional lung function.

Abstract To clarify the service targets, service contents, and safeguard mechanisms of the basic public service program for student vision health management, the study grounded in the current status of child and adolescent myopia prevention and control in China and integrated with the practical experience and innovative practices of Wuhan National Demonstration Area for Student Vision Health Management, takes education as the main thread and schools as the base, consolidating resources from multiple stakeholders including education administrative departments, schools, families, and professional technical service institutions. Centering on four core components—vision health education, monitoring and record keeping, risk prevention and control, and dynamic management, the study constructs a multi tiered basic public service system for vision health management of primary and secondary school students. It further proposes the use of an intelligent management platform and a "three tier color coded early warning" mechanism (red, yellow, blue) to prevent and control student myopia at the source, providing schools with replicable and operable implementation pathways to enhance the level of student vision health management.

Peptide receptor radionuclide therapy (PRRT) with radiolabeled SSTR2 agonists is a treatment option that is highly effective in controlling metastatic and progressive neuroendocrine tumors (NETs). Previous studies have shown that an SSTR2 agonist combined with albumin binding moiety Evans blue (denoted as ¹⁷⁷Lu-EB-TATE) is characterized by a higher tumor uptake and residence time in preclinical models and in patients with metastatic NETs. This study aimed to enhance the in vivo stability, pharmacokinetics, and pharmacodynamics of ¹⁷⁷Lu-EB-TATE by replacing the maleimide-thiol group with a polyethylene glycol chain, resulting in a novel EB conjugated SSTR2-targeting radiopharmaceutical, ¹⁷⁷Lu-LNC1010, for PRRT. In preclinical studies, ¹⁷⁷Lu-LNC1010 exhibited good stability and SSTR2-binding affinity in AR42J tumor cells and enhanced uptake and prolonged retention in AR42J tumor xenografts. Thereafter, we presented the first-in-human dose escalation study of ¹⁷⁷Lu-LNC1010 in patients with advanced/metastatic NETs. ¹⁷⁷Lu-LNC1010 was well-tolerated by all patients, with minor adverse effects, and exhibited significant uptake and prolonged retention in tumor lesions, with higher tumor radiation doses than those of ¹⁷⁷Lu-EB-TATE. Preliminary PRRT efficacy results showed an 83% disease control rate and a 42% overall response rate after two ¹⁷⁷Lu-LNC1010 treatment cycles. These encouraging findings warrant further investigations through multicenter, prospective, and randomized controlled trials.

Clinical teaching managers are the designers, implementers, and supervisors of clinical medical education. Their competence level directly affects the quality of hospital teaching management and clinical medical education. The competence evaluation systems for medical education managers in countries such as the United States and the United Kingdom are well-established, which provides a reference for the competence evaluation of clinical teaching managers in China. This research systematically reviews the construction process and current situation of the competence evaluation systems for medical education managers in the world, and summarizes the basis, methods, and dimensions of competence evaluation. According to the actual situation of clinical teaching management, suggestions were put forward, including developing systematic scientific evaluation tools, carrying out competence-oriented training and assessment, focusing on student-centered education, and creating a career path of sustainable development.

Clinical teaching managers are the designers, implementers, and supervisors of clinical medical education. Their competence level directly affects the quality of hospital teaching management and clinical medical education. The competence evaluation systems for medical education managers in countries such as the United States and the United Kingdom are well-established, which provides a reference for the competence evaluation of clinical teaching managers in China. This research systematically reviews the construction process and current situation of the competence evaluation systems for medical education managers in the world, and summarizes the basis, methods, and dimensions of competence evaluation. According to the actual situation of clinical teaching management, suggestions were put forward, including developing systematic scientific evaluation tools, carrying out competence-oriented training and assessment, focusing on student-centered education, and creating a career path of sustainable development.

BACKGROUND:Based on different algorithms of machine learning,how to carry out clinical research on lumbar disc herniation with the help of various algorithmic models has become a trend and hot spot in the development of intelligent medicine at present. OBJECTIVE:To review the characteristics of different algorithmic models of machine learning in the diagnosis and treatment of lumbar disc herniation,and summarize the respective advantages and application strategies of algorithmic models for the same purpose. METHODS:The computer searched PubMed,Web of Science,EMBASE,CNKI,WanFang,VIP and China Biomedical(CBM)databases to extract the relevant articles on machine learning in the diagnosis and treatment of lumbar disc herniation.Finally,96 articles were included for analysis. RESULTS AND CONCLUSION:(1)Different algorithm models of machine learning provide intelligent and accurate application strategies for clinical diagnosis and treatment of lumbar disc herniation.(2)Traditional statistical methods and decision trees in supervised learning are simple and efficient in exploring risk factors and establishing diagnostic and prognostic models.Support vector machine is suitable for small data sets with high-dimensional features.As a nonlinear classifier,it can be applied to the recognition,segmentation and classification of normal or degenerative intervertebral discs,and to establish diagnostic and prognostic models.Ensemble learning can make up for the shortcomings of a single model.It has the ability to deal with high-dimensional data and improve the precision and accuracy of clinical prediction models.Artificial neural network improves the learning ability of the model,and can be applied to intervertebral disc recognition,classification and making clinical prediction models.On the basis of the above uses,deep learning can also optimize images and assist surgical operations.It is the most widely used model with the best performance in the diagnosis and treatment of lumbar disc herniation.The clustering algorithm in unsupervised learning is mainly used for disc segmentation and classification of different herniated segments.However,the clinical application of semi-supervised learning is relatively less.(3)At present,machine learning has certain clinical advantages in the identification and segmentation of lumbar intervertebral discs,classification and grading of the degenerative intervertebral discs,automatic clinical diagnosis and classification,construction of the clinical predictive model and auxiliary operation.(4)In recent years,the research strategy of machine learning has changed to the neural network and deep learning,and the deep learning algorithm with stronger learning ability will be the key to realizing intelligent medical treatment in the future.

Objective:To formulate surgical strategies and guide the implementation of laparoscopic anatomical hepatectomy with preoperative simulative resection.Methods:Twenty-two cases of hepatocellular carcinoma undergoing laparoscopic lobe, segment, subsegment and combined segment liver resection following preoperative simulative resection from Sep 2020 to Jan 2022 were enrolled in this study retrospectively.We observed and analyzed the operation time,intraoperative blood loss,postoperative hospital stay and postoperative complication.Results:All patients underwent laparoscopic hepatectomy successfully according to the preoperative simulative resection plan without conversion, some of them adjusted plan according to preoperative simulative resection. The median operation time was 170.0 min, the median intraoperative blood loss was 150.0 ml, the median times of pringle maneuver was done on 4 episodes, and the median postoperative hospital stay was 6.5 days. There were no severe postoperative complications in all cases.Conclusion:Preoperative simulative resection can plan the range of surgical resection accurately by visualizing important anatomical structures,greatly helping the actual surgical hepatectomy.

Abstract According to the Healthy China Action Plan, Wuhan gives full play to the role of preventing and controlling student myopia by promoting student health. The primary focus is placed on education in schools, and Wuhan has integrated educational resources to develop a multi-level myopia prevention and control system and service network for school students. The network contains educational adminstrative, schools, families, and professional technical service organizations. By integrating multiple disciplines, Wuhan has built a comprehensive vision health management service system for all students. The Internet and cloud intelligent monitoring facilitated the establishment of a smart vision health management platform for students, which thoroughly and efficiently implemented myopia prevention and control to safeguard students visual health by engaging in education, monitoring, and supervision. The prevention and control of student myopia is a breakthrough for comprehensive healthy development of students. A comparison of the standard myopia rate in Wuhan in 2019 and 2018 revealed that the standard myopia rate at different learning stages of primary school, junior high school, and high school dropped by 3.31, 2.50, and 2.26 percentage points, respectively, and the rate of myopia in primary school was significantly lower than the national level. Post-epidemic surveys showed that the compliance rate and the awareness rate of the visual environment and visual behaviors of primary and secondary school students in Wuhan reached more than 80%, and prevalence of newly onset myopia or decreased vision was 30%, which was lower than the national average. The "Wuhan Model" provides an important referential framework for public health services for school students.

Objective To evaluate the effect of Critical Incident Reporting System on the quality of clinical anesthesia.Methods Anesthesia-related critical incidents happened in the perioperative period were reported in voluntary,anonymous,no punishment and confidential manners.The data was collected,classified and documented by assigned professionals on a regular basis from September 2012 to August 2016.The critical incidents were retrospectively analyzed after the risk was assessed.The 4-year reporting rate was collected.The risk of critical incidents was assessed using severity and probability analysis,and the critical incidents-inducing risk factors were analyzed.Results The 4-year reporting rate of critical incidents was 0.551％.From 1st to 4th year,the reporting rates were 0.729％,0.598％,0.819％ and 0.368％,respectively,and the incidence of injury incidents was 0.112％,0.106％,0.133％ and 0.031％,respectively.The reporting rate of critical incidents and incidence and reporting rate of the injury incidents showed a decreasing trend for 1st and 2nd year,significantly increased for 3rd year and decreased for 4th year (P＜0.05).The first three critical incident categories were equipment use and respiratory system-and workflowrelated incidents.Patient injury during surgery was considered an extremely high risk incident;the factor of the medical staff in the department of anesthesiology is the first critical incidents-inducing risk factor.Conclusion Critical Incident Reporting System can discover and correct the system-related risk and the inducing factors in the department of anesthesiology and is an effective method of improving the service quality of clinical anesthesia.

Objective To assess the patient enablement level in a general hospital and its related factors,to investigate the relationship of patient enablement with patient's overall satisfaction and doctor's empathy levels.Methods Patients attending the Family Medicine Clinic of HKU-Shenzhen Hospital in September 2014 and met the inclusion criteria were asked to complete a questionnaire survey which included general characteristics,overall satisfaction;the Patient Enablement Instrument (PEI) and the Consultation and Relational Empathy Measure Scale (CARE) after the consultation.Results Total 2 326 questionnaires were issued and 1 818 were retrieved,of which 1 478 were qualified questionnaires.The qualified rate of PEI was 81.3％ and the qualified rate of patient overall satisfaction was 96.28％.The positive rate of patient enablement was 97.70％ (1 444/1 478),and the mean score of PEI was 8.21 ±3.33.Multivariate linear regression analysis showed that the PEI scores were not influenced by gender and education level of the patients,gender of the consulting doctors and initial/follow up consultation.The PEI scores were influenced by the age of the patients,the types of clinic (general practice/chronic practice clinic) and the reasons for consulting (P ＜ 0.05).There were correlations between PEI score and overall satisfaction of patients (r =0.383,P ＜ 0.001),patient's recommendation of the clinic (r =0.595,P ＜ 0.001) and CARE scores (r =0.546,P ＜ 0.001).Conclusion The results show that the PEI scores of patients visiting family medicine clinic of this hospital are higher than those reported in other studies.The PEI score may be influenced by the age of the patients,the types of clinic and the reasons for consulting.Positive correlations between patient enablement and the overall satisfaction,patient's recommendation and doctor empathy were observed.