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 achieve efficient compression of on-board radiotherapy projection images using dynamic video encoding algorithms.Methods The on-board radiotherapy imaging system primarily provides 2D X-ray projection images for patient positioning verification and 3D tomographic image reconstruction.Since multiple projection images acquired continuously exhibit strong spatiotemporal correlations,their similarities could be used to eliminate redundant information,thereby improving the image compression ratio.During image compression,the image sets obtained at different times were arranged into an image sequence which was input into a video encoder and output as a video file.During image decompression,the video file was input into a video decoder and output as an image sequence,and the images in the sequence were then assigned back to their original image sets.Three current dynamic video encoding algorithms(AVC,HEVC,and AV1)and the classic static image coding algorithm(JPEG 2000)were tested on a database of 2D projection images.The performance of various compression algorithms was evaluated using indicators such as compression ratio(CR),peak signal-to-noise ratio(PSNR),and structural similarity(SSIM).Moreover,visual comparison of projection images before and after compression was evaluated by clinical radiation oncologists.Results Dynamic video encoding algorithms achieved higher CR than the static image coding algorithm.The average CR of the 3 dynamic video encoding algorithms was as followed:CRAVC=11.50,CRHEVC=30.74,and CRAV1=27.10,while the average CR of the static image coding algorithm(JPEG 2000)was 5.28.For abdominal projection images,well-defined contours and textural details were preserved even when the CR reached 42.37.For head-neck projection images,although mild contour blurring emerged at a CR of 20.71,subsequent evaluation by clinical radiation oncologists confirmed that the reconstructed CBCT images still satisfied clinical requirements.Conclusion These dynamic video encoding algorithms effectively utilize the strong correlation information between multiple projection images,reduce the storage of redundant information,and greatly improve the image CR.

In the context of comprehensively advancing the Healthy China initiative,the high-quality development of public hospitals must be guided by the core principle of"people's health".It provides a systematic analysis of the historical evolution of developmental paradigms in Chinese public hospitals.By integrating the current policy requirements for their high-quality development,it proposes key pathways including the innovation of development concepts,the reconstruction of hospital connotations,the extension of service management,the optimization of the system structure,and the empowerment of digital and intelligent technologies.Through empirical case studies that demonstrate the viability of these pathways,it aims to provide theoretical support and practical reference for the high-quality development of public hospitals centered on people's health.

Objective To achieve efficient compression of on-board radiotherapy projection images using dynamic video encoding algorithms.Methods The on-board radiotherapy imaging system primarily provides 2D X-ray projection images for patient positioning verification and 3D tomographic image reconstruction.Since multiple projection images acquired continuously exhibit strong spatiotemporal correlations,their similarities could be used to eliminate redundant information,thereby improving the image compression ratio.During image compression,the image sets obtained at different times were arranged into an image sequence which was input into a video encoder and output as a video file.During image decompression,the video file was input into a video decoder and output as an image sequence,and the images in the sequence were then assigned back to their original image sets.Three current dynamic video encoding algorithms(AVC,HEVC,and AV1)and the classic static image coding algorithm(JPEG 2000)were tested on a database of 2D projection images.The performance of various compression algorithms was evaluated using indicators such as compression ratio(CR),peak signal-to-noise ratio(PSNR),and structural similarity(SSIM).Moreover,visual comparison of projection images before and after compression was evaluated by clinical radiation oncologists.Results Dynamic video encoding algorithms achieved higher CR than the static image coding algorithm.The average CR of the 3 dynamic video encoding algorithms was as followed:CRAVC=11.50,CRHEVC=30.74,and CRAV1=27.10,while the average CR of the static image coding algorithm(JPEG 2000)was 5.28.For abdominal projection images,well-defined contours and textural details were preserved even when the CR reached 42.37.For head-neck projection images,although mild contour blurring emerged at a CR of 20.71,subsequent evaluation by clinical radiation oncologists confirmed that the reconstructed CBCT images still satisfied clinical requirements.Conclusion These dynamic video encoding algorithms effectively utilize the strong correlation information between multiple projection images,reduce the storage of redundant information,and greatly improve the image CR.

In the context of comprehensively advancing the Healthy China initiative,the high-quality development of public hospitals must be guided by the core principle of"people's health".It provides a systematic analysis of the historical evolution of developmental paradigms in Chinese public hospitals.By integrating the current policy requirements for their high-quality development,it proposes key pathways including the innovation of development concepts,the reconstruction of hospital connotations,the extension of service management,the optimization of the system structure,and the empowerment of digital and intelligent technologies.Through empirical case studies that demonstrate the viability of these pathways,it aims to provide theoretical support and practical reference for the high-quality development of public hospitals centered on people's health.

In order to facilitate the accurate comprehension and correct implemention of the national occupational health standard Health standard for operators of nuclear power plants (GBZ/T 164-2022), this article presents an in-depth elucidation encompassing the significance of the standard promulgation, the background of its revision, the current status of the relevant domestic and international standards, the basis for revision of the principal technical inclusion and the application scope of the standard. The aim is to provide a guidance the selection, appropriate evaluation, and occupational health monitoring of nuclear power plant operators, ultimately ensuring the safe operation of nuclear facilities.

Objective:To explore the current status and related factors of eHealth literacy in cardiovascular and cerebrovascular patients by selecting an appropriate digital eHealth literacy scale.Methods:From February to May 2023, convenience sampling was used to select 310 cardiovascular and cerebrovascular patients from the Department of Cardiology and Neurology of two ClassⅢ Grade A hospitals in Beijing as study subjects. E-Health Literacy Scale (EHLS), the eHealth Literacy Scale (eHEALS), and the Mobile eHealth Literacy Scale (m-eHEALS) were used to survey patients. Correlation analysis, internal consistency analysis, and structural validity analysis were used to select the main scale for the study. Binomial Logistic regression was used to explore the related factors of eHealth literacy in cardiovascular and cerebrovascular patients.Results:A total of 310 questionnaires were distributed, and 302 were effectively collected, with an effective rate of 97.42%. Among the three scales, the EHLS had good reliability and validity. The EHLS score of 302 patients was (37.73±9.66), with a qualified rate of 13.91% (42/302). Binomial Logistic regression analysis showed that the course of cardiovascular and cerebrovascular disease ( OR=0.615, 95% CI: 0.465-0.813) and the level of concern for one's own health status ( OR=0.669, 95% CI: 0.478-0.937) were related factors for eHealth literacy in cardiovascular and cerebrovascular patient ( P<0.05) . Conclusions:The qualification rate of eHealth literacy for cardiovascular and cerebrovascular patients is relatively low. A short course of disease and a high level of concern for one's own health status are protective factors for eHealth literacy in cardiovascular and cerebrovascular patients.

Objective:To explore the mediating role of aging attitude and anxiety in the relationship between self-worth and depression among the elderly.Methods:From July to August 2022, a total of 536 elderly people in Shijiazhuang University for the Elderly were surveyed by the elderly self-worth scale, generalized anxiety disorder-7(GAD-7), attitudes to aging questionnaire(AAQ) and patient health questionnaire(PHQ-9). SPSS 26.0 software was used for descriptive statistics and correlation analysis.AMOS 24.0 was used to construct an intermediation model, and Bootstrap method was used for mediating effect testing.Results:(1)The score of self-worth was 101.00 (92.00, 112.00), the score of aging attitude was 92.00 (83.00, 101.75), the score of anxiety was 2.00(0, 6.00), and the score of depression was 2.00 (0, 5.00). (2)Self-worth was positively correlated with aging attitude ( r=0.67, P<0.01), while negatively correlated with anxiety ( r=-0.45, P<0.01) and depression ( r=-0.48, P<0.01). The aging attitude was negatively correlated with anxiety ( r=-0.41, P<0.01) and depression ( r=-0.41, P<0.01). Anxiety was positively correlated with depression ( r=0.71, P<0.01). (3)The indirect effect of aging attitude between self-worth and depression in the elderly was -0.016, accounting for 19.75% (-0.016/-0.081)of the total indirect effect.The indirect effect of anxiety between self-worth and depression in the elderly was -0.045, accounting for 55.56%(-0.045/-0.081) of the total indirect effect.The chain mediating effect of aging attitude and anxiety between self-worth and depression in the elderly was -0.020, accounting for 24.69%(-0.020/-0.081) of the total indirect effect. Conclusion:Aging attitude and anxiety play a chain mediating role between self-worth and depression in the elderly.

Objective To describe and analyze the current situation of the four same type of departments in an hospital in order to provide a reference for the construction of"the most cost-effective medical care".Methods The CN-DRG were used to automatically group and compare the medical capacity and inpatient service efficiency of the hospital department groups,and in the refined analysis,one DRG disease group of in situ cancer and non-malignant disease loss uterine surgery and single species uterine fibroid was included,and the Kruskal-Wallis H test was used to further compare the differences in length of stay and various costs.Results It included a total of 22630 patients,whose weights varied from a maximum of 3948.62 in diagnostic group 1 to a minimum of 133.55 in diagnostic group 11.The cost consumption indexes ranged from a minimum of 0.89 in diagnostic group 5 to a maximum of 1.04 in diagnostic group 2,while the time consumption indexes ranged from a minimum of 0.48 in diagnostic group 11 to a maximum of 0.81 in diagnostic group 5.When comparing the diagnostic groups,there were statistically significant differences(P＜0.05)in hospitalization days,total cost,diagnostic cost,therapeutic cost,and cost of supplies.Specifically,when comparing the diagnostic and treatment groups within departments,the differences in hospitalization days and all costs were statistically significant(P＜0.05)in departments 1 and 2,the differences in diagnostic cost,therapeutic cost,and cost of supplies were statistically significant(P＜0.05)in department 3.Conclusion There exists a notable disparity in the extent to which each diagnostic and treatment group contributes to the hospital's service capacity and cost variability.Consequently,it is necessary to reasonably evaluate the length of hospital stay and medical cost of patients to achieve the highest cost-effective medical treatment.

AIM: To investigate the effect of Shenqi fuzheng injection (SFI) on tumor immunity and its preliminary molecular mechanism. METHODS: The animal model of low glucose tumor microenvironment was established by B16-PKM2-OE; the level of interleukin-2(IL-2) and interferon-γ(IFN-γ), CD40L and transforming growth factor-β1(TGF-β1) were detected by ELISA kit; the expressions of glucose transporter-1 (Glut-1) and key enzymes of glycolysis ( HK, PFK and PK ) in CD4