Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The technology holds broad application prospects in the medical field, enabling the processing of various imaging modalities, multidimensional imaging, and medical video imaging. This study elaborates on general image and video compression algorithms, the application of compression algorithms in the medical field, and the performance metrics of medical image compression, thereby providing critical technical support for enhancing clinical diagnostic efficiency and data management security.

Objective: To explore the association between maternal lipid levels during pregnancy and the risk of overweight and obesity in offspring at 3 years of age, providing scientific evidences for the prevention and control of childhood obesity. Methods: A total of 2 432 mother-child pairs with maternal lipid tests during pregnancy and offspring s physical growth data at 3 years of age were included from the Borin in Guangzhou Cohort Study up to September 2021. Lipid indicators, including high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol(LDL-C), triglycerides (TG), and total cholesterol (TC), were measured at 13-19 +6 weeks (mid pregnancy) and 32-39 +6 weeks (late pregnancy). Children s body mass index (BMI) Z score were calculated according to the World Health Organization s growth standards for children under 5 years old. The lipid Z score were divided into four quartiles: Q 1, Q 2, Q 3 and Q 4. Linear regression was used to analyze the relationship between maternal lipid levels during pregnancy and offspring’s BMI Z score at 3 years of age. Poisson regression with a robust error variance was employed to evaluate the association between maternal lipid levels during pregnancy and the at risk of overweight and obesity in offspring at 3 years of age, after adjusting for maternal age at conception, education level, parity, pre pregnancy BMI and gestational diabetes mellitus. Results: There was a statistically significnt difference in the detection rate of overweight and obesity risk among children with different mothers s pre pregnancy BMI ( χ 2=22.85, P <0.05). Linear regression analysis showed that TG levels in late pregnancy were positively related to BMI Z score ( β=0.10, 95%CI=0.02-0.18, P <0.05). Poisson regression with a robust error variance indicated that, compared with the Q 1 group of TC, the Q 4 group of TC in mid pregnancy was associated with an increased risk of overweight and obesity in offspring at 3 years of age ( RR=1.59, 95%CI =1.04-2.44); compared with the Q 1 group of TG, the Q 4 group of TG during late pregnancy increased the risk of overweight and obesity in offspring at 3 years of age ( RR=1.79, 95%CI =1.02-3.12) (both P <0.05). Conclusions Maternal serum TC level during mid pregnancy can increase the risk of overweight and obesity in offspring at 3 years of age. Maternal serum TG levels during late pregnancy is positively correlated with BMI and the risk of overweight and obesity in offspring at 3 years of age.

Objective:To investigate the pulmonary function in patients with Parkinson's disease(PD)and the association between pulmonary function and motor symptoms.Methods:A total of 104 PD patients were included in the study,and a portable spirometer was used to assess pulmonary function.According to the results of pulmonary function,the patients were divided into ventilation dys-function group with 37 patients and non-ventilation dysfunction with 67 patients,and clinical data were compared between the two groups.Univariate and multivariate logistic regression analyses were used to investigate the factors associated with abnormal pulmonary function,and a Spearman correlation analysis was used to investigate the correlation between pulmonary function parameters and motor symptoms.Results:There were significant differences in the scores of bradykinesia and postural gait between the two groups(P<0.05),and the logistic regression analysis showed a positive correlation between pulmonary ventilation dysfunction and postural gait score(regression coefficient β=0.171,95%CI=1.015-1.386,P=0.032).There were significant differences between the patients with different stages of PD in the pulmonary function parameters of the percentage of forced vital capacity in predicted value(t=2.143,P=0.034),the percentage of forced expiratory volume in 1 second(t=2.118,P=0.037),the percentage of predicted peak expiratory flow(t=2.002,P=0.048),maximum expiratory pressure as a percentage of predicted value(t=2.412,P=0.018),and maximum inspiratory pressure as a percentage of predicted value(t=2.119,P=0.036).Conclusion:The pulmonary function parameters of PD patients are lower than expected values,and the incidence rate of pulmonary ventilation dysfunction is 35.58%,with the main manifestation of restrictive ventilatory dysfunction.There is a correlation between pulmonary function and motor symptoms in PD patients.

Objective:To investigate the current application of blood purification in the treatment of acute poisoning within Jiangsu Province and to evaluate the impact of extracorporeal blood purification on the clinical outcomes of critically poisoned patients.Methods:This multicenter, cross-sectional real-world observational study followed patients presenting with poisoning to the emergency departments of nine hospitals in Jiangsu Province between June 2015 and May 2019. Data were collected on demographic characteristics, vital signs within the first hour of emergency presentation, treatment modalities, length of hospital stay, and survival outcomes. Clinical data from patients who underwent extracorporeal blood purification were compared with those who did not, using the Wilcoxon rank-sum test and Chi-square test.Results:A total of 4 178 poisoning cases were included between June 2015 and May 2019. Among them, 21.7% (908/4 178) received blood purification therapy, while 78.3% (3 270/4 178) did not. Hemoperfusion (90.4%) was the most frequently employed method, followed by continuous renal replacement therapy (CRRT) (4.4%). In combined blood purification modalities, 4.8% underwent hemoperfusion combined with CRRT, 0.1% received hemoperfusion with plasma exchange, and another 0.1% underwent hemoperfusion combined with both CRRT and plasma exchange. Among patients who underwent blood purification, pesticide poisoning was the most prevalent (76.3%), with the most common toxic agents being paraquat (23.7%), dichlorvos (8.7%), methamidophos (5.2%), omethoate (4.0%), and glyphosate (3.7%). Compared to the non-blood purification group, patients in the blood purification group were more likely to present within the first hour with a low Glasgow Coma Scale (GCS) score (3-8) (22.6% vs. 9.7%, P <0.05), low mean arterial pressure (8.0% vs. 3.2%, P <0.05), longer hospital stays [5(3,9) days vs. 2(1,4) days, P <0.05] and a higher in-hospital mortality rate (21.1% vs. 5.3%, P <0.05). Follow-up via telephone 28 days after discharge revealed a survival rate of 78.9%, with a mortality rate of 21.1% in the blood purification group. Conclusions:Hemoperfusion is the most commonly utilized blood purification technique for treating poisoning in Jiangsu Province, with pesticides being the primary toxic agents treated. Although the mortality rate is higher in the blood purification group, the intervention may still contribute to improved patient outcomes.

Objective To explore the molecular mechanism of Xiaojin Pills in the treatment of breast cancer using an integrated network pharmacology and experimental verification.Methods The chemical components and potential targets of Xiaojin Pills were obtained from TCMSP,TCM-ID,ETCM and SwissTargetPrediction databases.Breast cancer related targets were collected from GeneCards,OMIM and KEGG databases.The overlapped targets were imported into STRING database to analysis a protein-protein interaction(PPI).The key targets of PPI networks were screened based on node topology parameter values through Cytoscape 3.8.0.DAVID database was used to analyze the GO and KEGG pathway enrichment to build drug-chemical components-key targets-signaling pathway network.The breast cancer cell lines MDA-MB-231 and SK-BR-3 were used to study the effects of Xiaojin Pills extract on cell apoptosis,migration and invasion,and to verify the key pathway obtained by enrichment analysis.Results Totally 181 chemical components in Xiaojin Pills were obtained,including quercetin,myricetin,pinocembrin and β-sitosterol.615 potential targets were identified for the anti-breast cancer effects of Xiaojin Pills.After overlapping,170 key targets against breast cancer were identified based on the topological analysis,which included SRC,ERK1/2,AKT1,EGFR,etc.KEGG analysis enriched pathways including pathways in cancer,MAPK signaling pathway,endocrine resistance,PI3K-AKT signaling pathway,EGFR tyrosine kinase inhibitor resistance,apoptosis,and HIF-1 signaling pathway,which may play important roles in the therapeutic effects of Xiaojin Pills against breast cancer.GO enrichment was involved in protein phosphorylation,inflammatory response,negative regulation of apoptosis,and positive regulation of ERK1 and ERK2 cascades.Cell experiments showed that Xiaojin Pills further induced mitochondria-dependent apoptosis by inhibiting the activation of MAPK and PI3K-AKT pathways.At the same time,the expressions of ZO-1 and β-catenin increased,and the epithelial-mesenchymal transformation process was reversed to inhibit the metastasis of breast cancer cells.Conclusion The key targets and signaling pathways of Xiaojin Pills in the treatment of breast cancer are studied through network pharmacology combined with in vitro experiments,which provided a basis for further study of its pharmacodynamic material basis,mechanism of action and clinical application.

Objective:To develop a deep learning method to predict the anatomical images of nasopharyngeal carcinoma patients during the treatment course, which could detect the anatomical variation for specific patients in advance.Methods:Imaging data including planning CT (pCT) and cone-beam CT (CBCT) for each fraction of 230 patients with T 3-T 4 staging nasopharyngeal carcinoma who treated in Cancer Hospital Chinese Academy of Medical Sciences from January 1, 2020 to December 31, 2022 were collected. The anatomical images of week k+1 were predicted using a 3D Unet model with inputs of pCT, CBCT on days 1-3, and CBCT of weeks 2- k. In this experiment, we trained four models to predict anatomical images of weeks 3-6, respectively. The nasopharynx gross tumor volume (GTV nx) and bilateral parotid glands were delineated on the predicted and real images (ground truth). The performance of models was evaluated by the consistence of the delineation between the predicted and ground truth images. Results:The proposed method could predict the anatomical images over the radiotherapy course. The contours of interest in the predicted image were consistent with those in the real image, with Dice similarity coefficient of 0.96, 0.90, 0.92, mean Hausdorff distance of 3.28, 4.18 and 3.86 mm, and mean distance to agreement of 0.37, 0.70, and 0.60 mm, for GTV nx, left parotid, and right parotid, respectively. Conclusion:This deep learning method is an accurate and feasible tool for predicting the patient's anatomical images, which contributes to predicting and preparing treatment strategy in advance and achieving individualized treatment.

Objective:To evaluate the feasibility of using MRI-only simulation images for dose calculation of both photon and proton radiotherapy for nasopharyngeal carcinoma cases.Methods:T 1-weighted MRI images and CT images of 100 patients with nasopharyngeal carcinoma treated with radiotherapy in Cancer Hospital of Chinese Academy of Medical Sciences from January 2020 to December 2021 were retrospectively analyzed. MRI images were converted to generate pseudo-CT images by using deep learning network models. The training set, validation set and test set included 70 cases, 10 cases and 20 cases, respectively. Convolutional neural network (CNN) and cycle-consistent generative adversarial neural network (CycleGAN) were exploited. Quantitative assessment of image quality was conducted by using mean absolute error (MAE) and structural similarity (SSIM), etc. Dose assessment was performed by using 3D-gamma pass rate and dose-volume histogram (DVH). The quality of pseudo-CT images generated was statistically analyzed by Wilcoxon signed-rank test. Results:The MAE of the CNN and CycleGAN was (91.99±19.98) HU and (108.30±20.54) HU, and the SSIM was 0.97±0.01 and 0.96±0.01, respectively. In terms of dosimetry, the accuracy of pseudo-CT for photon dose calculation was higher than that of the proton plan. For CNN, the gamma pass rate (3 mm/3%) of the photon radiotherapy plan was 99.90%±0.13%. For CycleGAN, the value was 99.87%±0.34%. The gamma pass rates of proton radiotherapy plans were 98.65%±0.64% (CNN, 3 mm/3%) and 97.69%±0.86% (CycleGAN, 3 mm/3%). For DVH, the dose calculation accuracy in the photon plan of pseudo-CT was better than that of the proton plan.Conclusions:The deep learning-based model generated accurate pseudo-CT images from MR images. Most dosimetric differences were within clinically acceptable criteria for photon and proton radiotherapy, demonstrating the feasibility of an MRI-only workflow for radiotherapy of nasopharyngeal cancer. However, compared with the raw CT images, the error of the CT value in the nasal cavity of the pseudo-CT images was relatively large and special attention should be paid during clinical application.

Since the 18th CPC National Congress,General Secretary Xi Jinping has attached great significance to health assistance for foreign countries,and has made a series of important instructions.China's health assistance for foreign countries has entered a new era of development and cooperation,and has made an important contribution to the promotion of building a global community of health for all.The First Affiliated Hospital,Sun Yat-sen University has actively responded to the national strategy and send medical experts to over 11 countries along the"Belt and Road"region,such as Ghana,Equatorial Guinea,Fi-ji,Serbia,Dominica,and so on.The First Affiliated Hospital,Sun Yat-sen University has won awards at home and abroad for its efforts,including the National Advanced Group for health assistance for foreign countries,the National Advanced Individual for health assistance for foreign countries,and the Serbian Government's Gold Medal of Merit.Taking medical experts in Serbia and Dominica as examples,the author focuses on building a global reputation,and summarizes a series of initiatives from The First Affiliated Hospital,Sun Yat-sen University,including the creation of a multi-level and whole-process management system,the cohesion of back-up strength for health assistance for foreign countries.

Objective This study aims to conduct an evidence-based analysis of the research progress and management status of the competence of clinical department heads and nurse managers in China,providing reliable references for further devel-oping their management research and improving the human resource management in Chinese hospitals.Methods The VIP,CNKI,WANFANG Chinese databases,online resources,and relevant official websites were searched to retrieve literature related to the competence of clinical department directors and nurse managers in China.Descriptive analysis was conducted using biblio-metrics and evidence-based principles and methods.Results A total of 82 articles were included,mainly focusing on the con-ceptual theories of clinical department directors and nurse managers,the construction of competence models,and application re-search.The research on the competence of clinical department directors and nurse managers in China started relatively late and showed a trend of initial growth followed by decline.The distribution of journals was relatively scattered,and the literature mainly came from higher education institutions and medical institutions.The research development has stagnated at the stage of empirical research and has not progressed to the stage of evaluative research.Conclusion The research on the competence of clinical de-partment directors and nurse managers in China is still in the stage of application and practice,lacking systematic research.It is mainly led by higher education institutions and medical institutions,and the attention from the national government in terms of competence of clinical department directors and nurse managers in hospitals needs to be strengthened.