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.

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.

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.

Acute Myeloid Leukemia with t (8;16) (p11;p13) is a rare subtype of AML. This article presents a retrospective analysis of a 19-year-old female patient with t (8;16) (p11;p13) AML, focusing on her clinical features and treatment course, alongside a review of relevant literature. The patient was admitted due to skin ecchymosis and gastrointestinal bleeding, rapidly progressing to disseminated intravascular coagulation. Bone marrow examination revealed an abnormal blast morphology resembling early promyeloblasts, and the initial diagnosis was acute promyelocytic leukemia. However, chromosomal analysis identified the t (8;16) (p11.2;p13.3) translocation. The patient was finally diagnosed with acute monocytic leukemia. Following intensive induction chemotherapy, she achieved complete remission, but relapse occurred during consolidation therapy. The overall prognosis was poor. AML with t (8;16) (p11;p13) is relatively rare and characterized by distinct clinical and laboratory features, with a generally unfavorable prognosis. Early recognition by clinicians is crucial for appropriate management.

Objective To investigate clinicians'practice and opinions on sedation therapy in end-stage patients at Peking Union Medical College Hospital.Methods From August,2022 to April,2023,an online questionnaire survey was conducted among clinicians involved in end-stage patient management.Results A total of 205 questionnaires were distributed,with an effective response rate of 56.1% .Among the clinicians,55.7% of them had experience of applying sedation therapy in end-stage patients;85.2% of clinicians believed that se-dation could relieve the suffering of terminal patients from physical refractory symptoms;75.7% of clinicians considered that sedation therapy could be used to relieve agony from psycho-existential distress.Most clinicians had concerns about sedation therapy due to the lack of legal support(86.1% )and the lack of understanding of patients or families(59.1% ).The majority(90.4% )of clinicians were willing to receive training on palliative sedation.Conclusions A majority of clinicians agree that sedation therapy could relieve the physical distress and psycho-existential distress in end-stage patients.However,most clinicians have concerns about the application of sedation therapy due to the lack of legal support.It is necessary to enhance the training on palliative sedation.

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.

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.