Objective To investigate the correlation between spread through air space (STAS) of sub-centimeter non-small cell lung cancer and clinical characteristics and radiological features, constructing a nomogram risk prediction model for STAS to provide a reference for the preoperative planning of sub-centimeter non-small cell lung cancer patients. Methods The data of patients with sub-centimeter non-small cell lung cancer who underwent surgical treatment in Nanjing Drum Tower Hospital from January 2022 to October 2023 were retrospectively collected. According to the pathological diagnosis of whether the tumor was accompanied with STAS, they were divided into a STAS positive group and a STAS negative group. The clinical and radiological data of the two groups were collected for univariate logistic regression analysis, and the variables with statistical differences were included in the multivariate analysis. Finally, independent risk factors for STAS were screened out and a nomogram model was constructed. The sensitivity and specificity were calculated based on the Youden index, and area under the curve (AUC), calibration plots and decision curve analysis (DCA) were used to evaluate the performance of the model. Results A total of 112 patients were collected, which included 17 patients in the STAS positive group, consisting of 11 males and 6 females, with a mean age of (59.0±10.3) years. The STAS negative group included 95 patients, with 30 males and 65 females, and a mean age of (56.8±10.3) years. Univariate logistic regression analysis showed that male, anti-GAGE7 antibody positive, mean CT value and spiculation were associated with the occurrence of STAS (P＜0.05). Multivariate regression analysis showed that associations between STAS and male (OR=5.974, 95%CI 1.495 to 23.872), anti-GAGE7 antibody positive (OR=11.760, 95%CI 1.619 to 85.408) and mean CT value (OR=1.008, 95%CI 1.004 to 1.013) were still significant (P＜0.05), while the association between STAS and spiculation was not significant anymore (P=0.438). Based on the above three independent predictors, a nomogram model of STAS in sub-centimeter non-small cell lung cancer was constructed. The AUC value of the model was 0.890, the sensitivity was 76.5%, and the specificity was 91.6%. The calibration curve was well fitted, suggesting that the model had a good prediction efficiency for STAS. The DCA plot showed that the model had a good clinically utility. Conclusion Male, anti-GAGE7 antibody positive and mean CT value are independent predictors of STAS positivity of sub-centimeter non-small cell lung cancer, and the nomogram model established in this study has a good predictive value and provides reference for preoperative planning of patients.

Congenital heart disease (CHD) is a congenital malformation resulting from abnormal embryonic development of the heart and great vessels, accounting for approximately 25% of all congenital malformations. Children with CHD are often complicated by short stature. Although surgical treatment can improve their growth and development to a certain extent, some children still experience growth retardation after surgery. Recombinant human growth hormone (rhGH) is the main drug for treating short stature, but its efficacy and safety in the treatment of patients with concomitant CHD warrant further investigation. This article reports six cases of children with CHD and short stature who were treated with rhGH. Through a literature review, we summarize and discuss the therapeutic efficacy, follow-up experiences, and adverse reactions of rhGH treatment, aiming to provide references for clinicians in applying rhGH to treat patients with CHD and short stature.

BACKGROUND:Increasing evidence supports the association between different exercise intensities and the risk of osteoarthritis,but this may be affected by confounding and reverse causality,and the conclusions have not been unified. OBJECTIVE:To explore the causal association between different exercise intensities and osteoarthritis using Mendelian randomization method. METHODS:Data from genome-wide association studies associated with different exercise intensities were selected,and instrumental variables were screened with a threshold of P＜5×10-8.Causal associations between exposure and risk of outcome were assessed using five analysis methods of Mendelian randomization with inverse variance weighting as the primary analysis method.Selected instrumental variables were used to assess causal associations between different exercise intensities and osteoarthritis,and sensitivity analyses with inverse Mendelian randomization were performed. RESULTS AND CONCLUSION:In the analysis results of the inverse variance weighting method,low-intensity exercise showed a significant protective effect on knee osteoarthritis[odds ratio(OR)=0.14,95%confidence interval(CI):0.06-0.32,P＜0.001],while sedentary behavior without exercise intensity,such as watching TV,was confirmed to be a risk factor for knee osteoarthritis and hip osteoarthritis(OR=2.24,95%CI:1.74-2.88,P＜0.001;OR=1.34,95%CI:1.01-1.78,P=0.04).Through the reverse Mendelian randomization analysis of osteoarthritis to different exercise intensities,it was found that osteoarthritis was negatively correlated with low-intensity exercise and positively correlated with watching TV.The analysis results show that there is a two-way causal relationship between different exercise intensity and osteoarthritis risk.

Objective: To investigate the current status of refractive errors and insufficient hyperopia reserve in preschool children aged 3-6 years in Hefei and to analyze influencing factors, so as to provide a scientific basis for formulating targeted myopia prevention policies and comprehensive interventions. Methods: In May 2022, a stratified cluster random sampling method was used to select 897 preschool children from 8 kindergartens across four districts (Baohe, Yaohai, Shushan, and Economic and Technological Development Zone) in Hefei, and Children’s Visual Health related Behavior Assessment Scale was used to collect personal information and environmental factors. Pre and post cycloplegic refraction tests were conducted to assess insufficient hyperopic reserve and refractive development levels. Group comparisons were conducted using 2 test, t-test or analysis of variance. Multivariate regression analysis was performed to identify key factors influencing hyperopic reserve, axial length and spherical equivalent in preschool children. Results: The detection rates of refractive errors among preschool children were 6.8% for hyperopia, 1.6% for myopia, and 11.1% for astigmatism. Notably, the prevalence of myopia was significantly higher in boys (2.3%) than in girls (0.7%) ( χ 2=3.88, P <0.05). Additionally, 8.8% of the children exhibited insufficient hyperopic reserve. The results of multiple regression analysis showed that preschool children with high myopia in the father, high myopia in the mother, longer daily duration of near work, and longer daily electronic product use time had increased risks of axial growth ( β =0.12, 0.09, 0.15, 0.11), SE reduction ( β =-0.10, -0.07, -0.18, -0.13), and insufficient hyperopic reserve ( OR=1.87, 2.22, 1.40, 1.28) (P <0.05). While, preschool children with longer sleep time and daily outdoor activity duration had lower risks of axial growth ( β =-0.11, -0.10 ), SE reduction ( β =0.39, 0.51), and insufficient hyperopia reserve ( OR =0.54, 0.51) in preschool children ( P <0.05). Conclusions The rates of refractive errors and insufficient hyperopia reserve in preschool children in Hefei are relatively low, which are influenced by many factors. Parents, kindergartens and relevant departments should implement early vision monitoring and intervention for preschool children, and cultivate their scientific eye use habits.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Neurofibromas are benign peripheral nerve sheath tumors. It is more common in neurofibromatosis type Ⅰ. However, isolated vagal nerve neurofibroma（VNN） of the neck is extremely rare, and only a few case reports have been reported. Its etiology and pathogenesis are not clear. The diagnosis is mainly based on pathological examination and immunohistochemistry, and surgical resection is the main treatment. This study reports a rare case of giant solitary vagus neurofibroma in the neck. The patient was a 29-year-old female who was found to have a mass on the right side of the neck by physical examination, which was considered to be a vagus nerve tumor by neck ultrasound and imaging examination. The tumor was completely removed during the operation, with the size of about 10.0 cm×2.5 cm, and the patient had no special discomfort. Postoperative pathology and immunohistochemistry confirmed neurofibroma. After surgery, the patient had right vocal cord paralysis, hoarseness, choking and paroxysmal cough. After swallowing function training and voice rehabilitation treatment in the department, the patient recovered satisfactorily. There was no complication and recurrence during the follow-up of 1 year. This article reviews the literature to improve the diagnosis and treatment of solitary vagus neurofibroma in the neck by combining its medical history, imaging features, pathology and immunohistochemistry, and surgical treatment.
Humans ; Female ; Adult ; Neurofibroma ; Vagus Nerve/pathology* ; Neck ; Cranial Nerve Neoplasms

Purpose/Significance To explore the application and predictive accuracy of various models in predicting the risk of ather-osclerosis in diabetic patients.Method/Process Based on the biochemical data table from the"Diabetes Complications Warning Dataset"provided by the National Population Health Science Data Center,MATLAB software is used to construct risk prediction models for diabe-tes-induced atherosclerosis.The models are built by using k-nearest neighbors(KNN),decision trees,backpropagation(BP)neural networks,and Naive Bayes algorithms,and which are subjected to comparative analysis.Result/Conclusion In terms of effectiveness,the predictive accuracy of Naive Bayes algorithm is the highest(61.6％),followed by the decision tree model(58.2％),the KNN mod-el(57.7％),and the BP neural network model(55.9％).The results of the confusion matrix and the receiver operating characteristic(ROC)curve indicate that the Naive Bayes model performs best.When comparing the models in terms of effectiveness,performance and stability,the Naive Bayes model is superior.

Objective:To develop the Perioperative Blood Glucose Management Knowledge Questionnaire for Surgical Nurses and test its reliability and validity.Methods:From January to June 2019, the questionnaire item pool was constructed through literature review, and 13 experts were included in two rounds of Delphi consultation using purposive sampling. In July 2019, convenience sampling was used to select 50 clinical nurses from the surgical ward of the First Affiliated Hospital of Xi'an Jiaotong University as the research subject. A preliminary survey was conducted to form an initial Perioperative Blood Glucose Management Knowledge Questionnaire for Surgical Nurses. From August to September 2019, 110 clinical nurses from this ward were selected as the research subject again, and the questionnaire was subjected to item screening and reliability and validity testing.Results:The final Perioperative Blood Glucose Management Knowledge Questionnaire for Surgical Nurses included five dimensions of factors influencing blood glucose abnormalities, hazards of blood glucose abnormalities, preoperative and postoperative nursing observation points, emergency treatment of perioperative critical conditions, and key points for perioperative blood glucose management, with a total of 19 items. In the two rounds of consultation, the positivity coefficients of experts were both 100.00% (13/13), the authority coefficient of experts was 0.88, and the coefficients of variation for two rounds of consultation were 0 to 0.30 and 0 to 0.17. Exploratory factor analysis extracted five common factors, with a cumulative variance contribution rate of 66.70%. The Cronbach's α coefficient of the total questionnaire was 0.92, the test-retest reliability coefficient was 0.97, and the scale-level content validity index was 0.98.Conclusions:The Perioperative Blood Glucose Management Knowledge Questionnaire for Surgical Nurses has good scientific and practical significance, and can be used as an effective tool to evaluate the perioperative blood glucose management knowledge among surgical nurses.

Objective:To explore the application effect of early nursing intervention based on NNN-link in social disorders of children with autism spectrum disorders (ASD) .Methods:A total of 126 hospitalized children with ASD in the Rehabilitation Center of Henan Children's Hospital from January to May 2023 were selected as research subjects by convenience sampling. They were randomly divided into an intervention group ( n=63) and a control group ( n=63) using a random number table. The control group received routine care, while the intervention group received early nursing intervention based on NNN-link in addition to routine care. The Social Disorder-related Nursing Diagnosis Outcome Scales and the Childhood Autism Rating Scale (CARS) scores were compared between the two groups before and after intervention. Results:After the early nursing intervention, the scores for family atmosphere, participation in leisure activities, participation in play, social skills, and social participation were higher in the intervention group compared to the control group, the differences were statistically significant ( P<0.05). The CARS scores of the intervention group were also lower than those of the control group, the differences were statistically significant ( P<0.05) . Conclusions:Early nursing intervention based on NNN-link can effectively improve the social disorder conditions of children with ASD, reduce their autism symptoms, and promote recovery.

Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection with an extremely high mortality rate,and it is the main risk factor for acute lung injury(ALI).However,the pathophysiology and pathogenesis of sepsis-associated ALI are not fully understood,and effective drugs are extremely limited.Therefore,it is urgent that we explore the pathogenesis of sepsis-associated ALI and attempt to discover effective intervention measures to improve the prognosis of sepsis-associated ALI patients.In recent years,ferroptosis has been considered closely related to the pathological and physiological processes of sepsis-associated ALI,and inhibiting related cell ferroptosis can effectively slow down the occurrence and development of the disease.In this paper,therapeutic strategies targeting ferroptosis in related cells are reviewed to provide a reference for future research on ferroptosis in sepsis-associated ALI and provide a new perspective on potential treatments.