Objective: To investigate the prevalence of overweight and obesity among children and adolescents in Yangzhou City, and its association with screen behaviors, so as to provide scientific evidence for weight management among students. Methods: In May 2025, an electronic questionnaire survey was conducted among children and adolescents in Yangzhou City. A total of 3 722 participants were selected from grades 4 to 12 in 18 primary and secondary schools (108 classes) by using stratified cluster random sampling. The Chi square test was used to compare the differences in the detection rates of overweight and obesity among children and adolescents with 5 types of screen behaviors (watching TV, playing electronic games, scrolling short videos, screen based learning, electronic socializing) in different time groups each day (never, >0~<2 h, ≥2 h). Multivariate Logistic regression analysis was performed to examine the associations of five types of screen behaviors, presence of electronic devices in the bedroom, and screen use during meals on the weight status of children and adolescents. Results: The prevalence of overweight and obesity among children and adolescents was 37.3%. For all five types of screen behaviors, the differences in the distribution of overweight and obesity detection rates among children and adolescents across the three time spent categories were statistically significant ( χ 2=30.76- 70.78 , all P <0.01). After adjusting for confounding factors, multivariate Logistic regression analysis revealed that frequent or always using screens during meals( OR =1.63, 95％ CI =1.14~2.31), playing video games ( OR =1.28, 95% CI =1.11-1.48), browsing short videos ( OR =1.29, 95％ CI=1.09-1.54), and screen based learning ( OR =1.26, 95％ CI =1.10-1.44) were significantly associated with overweight and obesity among children and adolescents (all P <0.05). Conclusions Excessive screen use is positively correlated with the incidence of overweight and obesity in children and adolescents. Targeted interventions on screen behaviors among children and adolescents are therefore warranted.

Objective The aim was to evaluate the effects of efforts directed toward controlling Oncomelania hupensis snails on small environmental modification projects in Anqing City to provide a reference for comprehensively controlling O. hupensis in hilly areas where schistosomiasis is endemic. Methods Field and retrospective surveys were conducted to collect data using questionnaires. The data from 35 questionnaires on small-scale environmental modification projects in Anqing City and the effects of snail obtained from monitoring forms were sorted. The data were descriptively analyzed using basic information on environmental modifications and investment costs. The Wilcoxon signed-rank test was used to compare snail status before and after environmental interventions. The Friedman test was applied to evaluate the changes in snail populations in the years after environmental intervention. Non-parametric independent sample tests were adopted to compare differences in the effects of different environmental interventions, environmental characteristics, and between project and control areas. Results A total of 35 environments altered from 2017 to 2023, including the creation of 29 ditches,1 dry land, and 5 pond-weirs. The main environmental interventions included hardening of ditches and pond-weirs as well as tilling with intercropping. The average investment costs of mortared rubble masonry hardening and tilling with intercropping were the highest(147.10 yuan/m2)and lowest(4.62 yuan/m2), respectively. The pre-intervention snail-infested area was 78 900 m2, which decreased to 18 100 m2, a decrease of 77.06%. After environmental intervention, the density and rate of living snails significantly decreased on frames with snails(P<0.001). In ditch environments, the smoothness of the ditch walls and the presence of snails in the upper reaches did not significantly decrease the living snail density; however, the presence of cracks on the inner side of the ditches significantly impacted the decline in the rate(P<0.001). No significant difference was found in the rates at which the living snail density or snail frame occurrence decreased among different environmental modification method. The effects of brick masonry, concrete, and mortared rubble masonry on snail control were significantly stronger than those of chemical snail control(P<0.01), whereas no significant difference was found in the decline in these two rates between project areas using other modification method and control areas using chemical snail control. Conclusions Schistosomiasis-prevention-oriented environmental interventions effectively eliminate snails from hilly snail-infested areas. Cost-effective modification method should be selected based on the environmental type, and post-modification monitoring and maintenance must be strengthened to further increase snail control effectiveness.

Objective To analyze the chest computed tomography (CT) imaging features of occupational pneumoconiosis induced by dust of iron and iron compounds (OPTIDIC), and to explore imaging evidence for its diagnosis and differential diagnosis. Methods Abnormal coronal multiplanar reconstruction CT images of 19 patients with OPTIDIC were analyzed retrospectively, and imaging findings were compared with those from chest digital radiography (DR). Results Chest CT imaging of 19 patients with OPTIDIC showed multiple small, round opacities in both lungs, with predominantly low-density nodules in 14 cases, and high-density nodules in five cases. Nodules were mainly distributed in the upper and middle lung zones in 15 cases and diffusely distributed in four cases. Hilar/mediastinal lymphadenopathy and lymph node calcification were observed in 11 and 6 cases, respectively. Interlobular septal thickening was observed in six cases, while reticular opacities, increased lung markings, patchy ground-glass opacities, pleural thickening, and emphysema were observed in 6, 4, 7, 5, and 4 cases, respectively. On chest DR, small opacities were classified as p/s and p/t types in 16 and 3 cases, respectively. No large opacities or honeycombing were observed on either coronal chest CT or chest DR among 19 patients with OPTIDIC. Conclusion Chest CT findings of OPTIDIC patients are characterized by small, low-density round opacities, with a predominance in the upper and middle lung zones and frequent hilar and mediastinal lymphadenopathy. CT provides valuable evidence for the diagnosis and differential diagnosis of OPTIDIC.

ObjectiveTo address the key challenges in breast electrical impedance tomography (EIT) reconstruction including the severe ill‑posedness of the inverse problem, limited measurement information from the electrodes, low contrast of small lesions, as well as the common drawbacks of traditional reconstruction methods such as boundary blurring, low spatial resolution, and weak small-target detection capability, and to overcome the limitations of existing deep learning approaches namely low training efficiency, insufficient physical consistency, and substantial information loss during the low‑to‑high dimensional mapping process, this study proposes a multi‑scale attention and dynamic sparse mask fusion network (MADS‑Net). The proposed method aims to enhance high‑resolution reconstruction accuracy, small-lesion detectability, noise robustness, and computational efficiency in breast‑screening-oriented EIT, thereby providing a feasible solution for the application of EIT in breast functional imaging. MethodsThe proposed network adopts a strategy of “locate first, reconstruct later”. It realizes adaptive allocation of computational resources through a dynamic mask module, alleviates information loss in the low-to-high dimensional mapping process via a multi-scale attention mechanism, and embeds physical constraints to improve the physical rationality of reconstruction results. The performance of the proposed method was validated through systematic numerical simulations, agar phantom experiments, and porcine tissue experiments. Comparisons were made with mainstream methods including the Gauss-Newton algorithm, convolutional neural networks, U-Net, and Deep D-Bar. The image correlation coefficient (ICC), root mean square error (RMSE), and peak signal-to-noise ratio (PSNR) were adopted as quantitative evaluation metrics. Furthermore, lesion‑level evaluation metrics were introduced to assess the capability of different methods in reconstructing abnormal target boundaries and small‑sized target regions. ResultsExperimental results demonstrate that MADS-Net outperforms all comparison methods across all test scenarios. In numerical simulations, it achieves higher accuracy in target morphology and spatial location recovery as well as better background suppression. In agar phantom experiments, its detection and imaging reliability for small targets is significantly superior to the comparison methods. In porcine tissue experiments, the model maintains good generalization performance and can adapt to complex biological tissue imaging scenarios. Quantitative results show that MADS-Net achieves an average ICC of 0.917 6±0.048 8, an RMSE as low as0.060 6±0.031 6, and a PSNR of (23.893 9±2.685 3) dB. It successfully detects tiny targets as small as 5 mm within a 100 mm diameter sensing field, reduces the total training duration by 23.5% compared with the baseline method, and maintains stable reconstruction performance even under strong noise interference. ConclusionThe results demonstrate that MADS-Net achieves favorable EIT reconstruction performance in numerical simulations, agar phantom experiments, and porcine tissue experiments, even under common practical imaging challenges including low signal-to-noise ratio and blurred tissue boundaries. This study provides a methodological reference for further research on EIT in breast-screening-related scenarios and other medical functional imaging tasks, and also offers a low-cost, radiation-free alternative for breast lesion screening that aligns with the clinical demand for non-invasive diagnostic tools. It should be noted that real clinical breast data have not yet been used for validation in this study, and the clinical applicability of the proposed method requires further investigation. Future work will prioritize collecting multi-center real clinical breast datasets, and further optimize the model’s generalization ability to adapt to individual differences in breast tissue composition to promote its clinical application.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

AIM: To compare the agreement between the ARK Biometer Combo and OA 2000 in patients wearing orthokeratology lenses.METHODS: A prospective study. A total of 148 patients(148 eyes)who were wearing orthokeratology lenses and returned for follow-up at the Shanghai Eye Disease Prevention and Treatment Center from August to September 2024 were included. Biometric measurements were performed using both the ARK Biometer Combo and OA 2000. Parameters including axial length(AL), corneal central thickness(CCT), anterior chamber depth(ACD), lens thickness(LT), corneal curvature(Kf and Ks), astigmatism(AST), white-to-white corneal diameter(WTW)and pupil diameter(PD)were obtained. Differences in measurement parameters between the two biometers were compared, and agreement was assessed.RESULTS: There were no statistically significant differences in the measurements of Kf, Ks and AST between the two biometers(P>0.05). Statistically significant differences were found in the measurements of AL, CCT, ACD, LT, WTW and PD(t=2.559, P=0.012; t=16.771, P<0.0001; t=4.749, P<0.0001; t=-15.212, P<0.0001; t=-14.915, P<0.0001; t=-2.402, P=0.018). ICC ranged from 0.615 to 0.999. Bland-Altman analysis showed that the maximum absolute values of the 95% limits of agreement(LoA)of AL, CCT, ACD, LT, Kf, Ks, AST, WTW and PD were 0.07 mm, 35.07 μm, 0.07 mm, 0.12 mm, 0.66 D, 1.14 D, 1.00 D, 0.76 mm, and 0.98 mm, respectively.CONCLUSION: In orthokeratology patients, the ARK Biometer Combo and OA 2000 showed good agreement in measuring AL, CCT, ACD, Kf and LT, and can be used interchangeably.

Objective: To explore the mechanism of Buzhong Yiqi Decoction in modulating macrophage polarization and intervening in autoimmune thyroiditis (AIT) mice. Methods: Using the random number table method, 48 SPF-grade NOD.H-2h4 mice were assigned to the normal, model, low-dose (4.10 g/kg), medium-dose (8.19 g/kg), high-dose group (16.38 g/kg) of Buzhong Yiqi Decoction, and selenium yeast tablet (0.026 mg/kg) groups, with eight mice in each group. All groups, except the normal group, were free to drink high iodine water (0.05% sodium iodide) to prepare AIT mouse models for 8 consecutive weeks. After the modeling was complete, each treatment group was orally administered with the corresponding medication, while the normal and model groups were orally administered with an equal volume of distilled water once a day for 8 consecutive weeks. High-performance liquid chromatography with an oscillometric refractive detector was used to analyze the content of Astragaloside Ⅳ in Buzhong Yiqi Decoction. Hematoxylin and eosin staining was used to observe the pathological morphology of mouse thyroid tissue. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of serum thyroid peroxidase antibody (TPO-Ab), thyroglobulin antibody (TgAb), interleukin (IL)-6, IL-10, and tumor necrosis factor-α (TNF-α). An immunofluorescence assay was used to detect the positive area percentage of M1 and M2 macrophages in mouse thyroid tissue. Flow cytometry assay was used to detect macrophage polarization in mouse spleen tissue. Real-time fluorescence quantitative PCR was used to detect the mRNA expression of nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), nuclear factor kappa B inhibitory protein α (IκBα), and nuclear factor-κB (NF-κB) p65 in mouse spleen tissue. Western blotting was used to detect the expression of the phosphorylated IκBα (p-IκBα), phosphorylated NF-κB p65 (p-NF-κB p65), and NLRP3 protein in mouse spleen tissue. Results: The content of Astragaloside Ⅳ in Buzhong Yiqi Decoction was (7.09±0.06) g/L. Compared to the normal group, significant lymphocyte infiltration was observed in the thyroid tissue of mice in the model group. The levels of serum TPO-Ab, TgAb, IL-6, and TNF-α increased (P<0.05). The positive area percentage of M1 macrophages in thyroid tissue increased (P<0.05). The proportion of M1 macrophages and M1/M2 in spleen tissue increased (P<0.05). The relative expression levels of NF-κB p65 and NLRP3 mRNA in spleen tissue increased (P<0.05). The relative expression of p-IκBα, p-NF-κB p65, and NLRP3 proteins increased (P<0.05). Compared to the model group, the inflammation infiltration degree in the thyroid tissue of mice in each dose group of Buzhong Yiqi Decoction and selenium yeast tablet group was reduced, the serum TPO-Ab, TgAb, IL-6, TNF-α content was decreased, the spleen tissue M1/M2 was reduced, the expression of NF-κB p65 mRNA was reduced, and the relative expression levels of p-IκBα, p-NF-κB p65 protein were reduced (P<0.05). The Buzhong Yiqi Decoction high-dose and selenium yeast tablets groups showed an increase in IL-10 content, an increase in positive area percentage of M2 macrophages in thyroid tissue, an increase in M2 macrophages proportion in spleen tissue, and a decrease in NLRP3 mRNA and protein relative expression levels (P<0.05). Conclusion Buzhong Yiqi Decoction may regulate macrophage polarization by inhibiting the NF-κB/NLRP3 signaling pathway, thus improving the inflammatory damage in mice with AIT.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome