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 investigate the expression of TXNIP and NLRP3 in atherosclerotic plaque of coronary artery and their relationship with secondary lesion of plaque and sudden death of coronary heart dis-ease.Methods A total of 105 cases of cardiac coronary samples extracted from autopsy anatomy and related data in the Forensic Judicial Appraisal Center of Guizhou Medical University from January 2019 to March 2022 were analyzed retrospectively.They were divided into the non-lesion group (n=20) and plaque group (n=85) according to whether or not having harden plaque in coronary artery.Then the plaque group was divided into the non-coronary heart disease sudden death group (n=25),coronary heart disease sudden death without sec-ondary lesion group (n=30) and coronary heart disease sudden death complicating secondary lesion group (n=30).The hematoxylin-eosin (HE) dyed section was prepared.The IPP6.0 image analysis software was used to measure the thickness of coronary intima and lesion,the thickness of fibrous cap,the thickness of nec-rotic lesion and the degree of lumen stenosis.Immunohistochemical method,Western blot and real-time fluo-rescent quantitative reverse transcription-PCR (qRT-PCR) were used to detect the distribution characteristics and expression levels of TXNIP and NLRP3 in coronary arteries.Results Compared with the non-lesion group,the thickness of the intima,lesion,fibrous cap and necrosis lesion in the other three groups was thicker,the stenosis degree of lumen was higher,and the differences were statistically significant (P<0.05).Com-pared with the coronary heart sudden death without secondary lesion group,the thickness of the intima,lesion and necrose lesion in the coronary heart disease sudden death complicating secondary lesion group was thic-ker,the necrosis degree of lumen was higher,and the differences were statistically significant (P<0.05).The TXNIP and NLRP3 proteins expressions were not seen in the coronary arterial wall of the no-lesion group.The strong positive expression rates of TXNIP and NLRP3 in the non-coronary sudden death group were 40.0% and 36.0%,the weak positive expression rates were 32.0% and 36.0%,and the weaker positive ex-pression rates were 28.0% and 28.0%.The strong positive expression rates in the coronary heart disease sud-den death without secondary lesion group were 50.0% and 43.3%,the stronger positive expression rates were 33.3% and 36.7%,and the weak positive expression rates were 16.7% and 20.0%;the strong positive ex-pression rates in the coronary heart disease sudden death complicating secondary lesion group were 73.3% and 76.7%,the stronger positive expression rates were 26.7% and 23.3%.The coronary artery TXNIP and NLRP protein and mRNA levels in the coronary heart disease sudden death complicating secondary lesion group were higher than those in the other three groups with statistical difference (P<0.05).TXNIP in coro-nary arterial plaque was positively correlated with the absorbance value of NLRP3 expression absorbance val-ue,protein and mRNA expression level (P<0.05).The TXNIP and NLRP3 expression levels were positively correlated with the intima and lesion thickness,and negatively correlated with the fibrous cap thickness (P<0.05).The necrosis lesion area of coronary artery was positively correlated with the TXNIP and NLRP3 (P<0.05).Conclu-sion TXNIP and NLRP3 could serve as the diagnostic indicators of coronary heart disease sudden death.

Allergic rhinitis is a common allergic disease in children.Its pathogenesis is complex and it is difficult to achieve radi-cal cure or effective and stable long-term treatment goals.Chinese medicine has obvious advantages in preventing and treating allergic rhinitis in children due to its wide range of targets,long-lasting effects and few adverse reactions.This paper proposes that the onset of allergic rhinitis is mostly caused by the dysfunction of the lung,spleen and kidney,the external wind triggering the latent wind,and the combination of the two winds.A staged prevention and treatment strategy of Chinese medicine should be adopted,which includes dispersing external wind,suppressing latent wind,and promoting lung-qi and clearing nasal orifice during the attack period to treat its symptoms,and preventing external wind,calming down latent wind,and regulating and tonifying the lung,spleen,and kidney during the remission period to treat its root cause;meanwhile,attention should be paid to avoiding the adverse effects of congenital endowment factors and the induction of acquired environmental factors,strengthening the body's health to protect against the evil wind,preventing the transformation of existing diseases and the recurrence of allergic rhinitis in children at all stages.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.