Objective:To analyze the management benefits of information-based management mode for medical imaging equipment,and promote rational management for equipment and improve management benefits of equipment.Methods:According to the existing information management system and electronic medical record system at Tangdu hospital,Air Force Medical University,a management platform for medical imaging equipment under information-based management mode for medical imaging equipment was constructed to manage medical imaging equipment.A total of 9 imaging equipment included magnetic resonance(MR)equipment,computed tomography(CT)equipment and X-ray equipment that were in clinical use during 2022 and 2023 were selected,and the conventional management mode was adopted to manage equipment during January and December 2022,and the information-based management mode was adopted to manage them during January and December 2023.The comprehensive management benefits of the two modes for medical imaging equipment were compared.A self-designed questionnaire was used to survey satisfaction levels of 80 patients who underwent diagnosis and treatment by using these equipment.Results:The annual examination amount,annual revenue,annual operating cost,and annual net profit of MRI,CT,and X-ray equipment of adopting information-based management mode were all higher than those of adopting conventional management mode,and the investment payback period was shorter than that of adopting conventional management mode,and the cost-effectiveness evaluation was superior to conventional management mode.The average utilization rate of equipment,rate of maintenance and upkeep,and rate of controlling risk of adopting information-based management mode were respectively(95.36±6.02)%,(92.36±4.36)%and(94.36±4.15)%,which were significantly higher than those of adopting conventional management mode(t=14.317,11.62,12.508,P<0.05).Patients'satisfactions for MRI equipment,CT equipment and X-ray equipment that adopted information-based management mode were significantly higher than these that adopted conventional management mode,and the differences were significant(x2=5.741,6.260,5.331,P<0.05).Conclusion:The information-based management mode for medical imaging equipment can real-timely obtain the situations of usage and monitoring for medical imaging equipment,and enhance cost-effectiveness and management effectiveness at the maximum extent,and enhance users'satisfaction in using medical equipment.

Coronavirus disease 2019(COVID-19)is a respiratory syndrome caused by severe acute respiratory syn-drome coronavirus 2(SARS-CoV-2).Once SARS-CoV-2 was detected in Wuhan(Hubei Province,China),it rap-idly spread widely across China and the world,posing a serious threat to global health and the economy.With the development of Artificial Intelligence(AI)technology and the openness and application of open-source software,tremendous progress has been achieved in the quantitative study of chest radiology for COVID-19,enabling the quantitative dataization of radiological image data,which adds a powerful indicator to the prognosis study of COV-ID-19.Therefore,we reviewed the current literature on the factors predicting the severity and prognosis of COV-ID-19,and summarized demographic,laboratory and radiological factors to help with risk stratification and prog-nosis assessment for COVID-19 patients and assist in their clinical management and treatment.

Objectives:To evaluate the effectiveness of functionalized decellularized extracellular matrix(F-dECM)prepared from porcine auricular cartilage or porcine rib cartilage in repairing xenogeneic articular osteochondral defects.Methods:The por-cine auricular cartilage and rib cartilage were crushed and decellularized.Heparin modification and multi-factor loading were a-chieved through amide bond reaction.The physical characteristics of the particles were characterized by SEM observation and mer-cury intrusion.The chemical characteristics of the particles were characterized by tissue section staining and kit detection.The rabbit knee joint full-thickness defect models were established and implanted by different particles respectively.After 6 weeks and 12 weeks of operation,the samples were taken for gross observation,CT scanning and tissue sectioning to comprehensively evaluate the repair effect.Results:After heparin modification,the glycosaminoglycan lost during the decellularization process was replen-ished.Both heparinized auricular cartilage and costal cartilage presented a highly developed porous structure.Among them,the porosity and pore diameter of costal cartilage were both lower than those of auricular cartilage(P＜0.05).During the observation periods of 6 weeks and 12 weeks,the porcine costal cartilage F-dECM implantation group was superior to other experimental groups in knee joint repair effects(P＜0.05).Conclusion:Costal-derived F-dECM is a joint osteochondral defect repair material with application potential.

Objectives:To evaluate the effectiveness of functionalized decellularized extracellular matrix(F-dECM)prepared from porcine auricular cartilage or porcine rib cartilage in repairing xenogeneic articular osteochondral defects.Methods:The por-cine auricular cartilage and rib cartilage were crushed and decellularized.Heparin modification and multi-factor loading were a-chieved through amide bond reaction.The physical characteristics of the particles were characterized by SEM observation and mer-cury intrusion.The chemical characteristics of the particles were characterized by tissue section staining and kit detection.The rabbit knee joint full-thickness defect models were established and implanted by different particles respectively.After 6 weeks and 12 weeks of operation,the samples were taken for gross observation,CT scanning and tissue sectioning to comprehensively evaluate the repair effect.Results:After heparin modification,the glycosaminoglycan lost during the decellularization process was replen-ished.Both heparinized auricular cartilage and costal cartilage presented a highly developed porous structure.Among them,the porosity and pore diameter of costal cartilage were both lower than those of auricular cartilage(P＜0.05).During the observation periods of 6 weeks and 12 weeks,the porcine costal cartilage F-dECM implantation group was superior to other experimental groups in knee joint repair effects(P＜0.05).Conclusion:Costal-derived F-dECM is a joint osteochondral defect repair material with application potential.

Objective:To analyze the management benefits of information-based management mode for medical imaging equipment,and promote rational management for equipment and improve management benefits of equipment.Methods:According to the existing information management system and electronic medical record system at Tangdu hospital,Air Force Medical University,a management platform for medical imaging equipment under information-based management mode for medical imaging equipment was constructed to manage medical imaging equipment.A total of 9 imaging equipment included magnetic resonance(MR)equipment,computed tomography(CT)equipment and X-ray equipment that were in clinical use during 2022 and 2023 were selected,and the conventional management mode was adopted to manage equipment during January and December 2022,and the information-based management mode was adopted to manage them during January and December 2023.The comprehensive management benefits of the two modes for medical imaging equipment were compared.A self-designed questionnaire was used to survey satisfaction levels of 80 patients who underwent diagnosis and treatment by using these equipment.Results:The annual examination amount,annual revenue,annual operating cost,and annual net profit of MRI,CT,and X-ray equipment of adopting information-based management mode were all higher than those of adopting conventional management mode,and the investment payback period was shorter than that of adopting conventional management mode,and the cost-effectiveness evaluation was superior to conventional management mode.The average utilization rate of equipment,rate of maintenance and upkeep,and rate of controlling risk of adopting information-based management mode were respectively(95.36±6.02)%,(92.36±4.36)%and(94.36±4.15)%,which were significantly higher than those of adopting conventional management mode(t=14.317,11.62,12.508,P<0.05).Patients'satisfactions for MRI equipment,CT equipment and X-ray equipment that adopted information-based management mode were significantly higher than these that adopted conventional management mode,and the differences were significant(x2=5.741,6.260,5.331,P<0.05).Conclusion:The information-based management mode for medical imaging equipment can real-timely obtain the situations of usage and monitoring for medical imaging equipment,and enhance cost-effectiveness and management effectiveness at the maximum extent,and enhance users'satisfaction in using medical equipment.

Coronavirus disease 2019(COVID-19)is a respiratory syndrome caused by severe acute respiratory syn-drome coronavirus 2(SARS-CoV-2).Once SARS-CoV-2 was detected in Wuhan(Hubei Province,China),it rap-idly spread widely across China and the world,posing a serious threat to global health and the economy.With the development of Artificial Intelligence(AI)technology and the openness and application of open-source software,tremendous progress has been achieved in the quantitative study of chest radiology for COVID-19,enabling the quantitative dataization of radiological image data,which adds a powerful indicator to the prognosis study of COV-ID-19.Therefore,we reviewed the current literature on the factors predicting the severity and prognosis of COV-ID-19,and summarized demographic,laboratory and radiological factors to help with risk stratification and prog-nosis assessment for COVID-19 patients and assist in their clinical management and treatment.

ObjectiveTo investigate the value of aspartate aminotransferase-to-platelet ratio index （APRI） and platelet-albumin-bilirubin （PALBI） score in predicting the risk of esophagogastric variceal bleeding in patients with liver cirrhosis. MethodsA total of 119 patients with liver cirrhosis who were admitted to The First Affiliated Hospital of Soochow University from May 2021 and June 2022 were enrolled， and clinical data， routine blood test results， serum biochemistry， and coagulation test results were collected from all patients. According to the presence or absence of esophagogastric variceal bleeding， the patients were divided into non-bleeding group with 59 patients and bleeding group with 60 patients， and a comparative analysis was performed for the two groups. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-squared test or the Fisher’s exact test was used for comparison of categorical data between groups. The multivariate Logistic regression analysis was used to identify the independent risk factors for esophagogastric variceal bleeding in patients with liver cirrhosis and establish a nomogram predictive model. ResultsThe male patients accounted for 75.00% in the bleeding group and 40.68% in the non-bleeding group， and there was a significant difference in sex composition between the two groups （χ²=14.384， P<0.001）. Chronic hepatitis B was the main etiology in both the bleeding group and the non-bleeding group （53.33% vs 38.98%）， and there was no significant difference in composition ratio between the two groups （χ²=2.464， P=0.116）. Compared with the non-bleeding group， the bleeding group had a significantly higher activity of AT-IIIA （t=3.329， P=0.001） and significantly lower levels of PLT， TBil， Ca， TC， and TT （all P<0.05）. There were significant differences in APRI and PALBI between the two groups （χ²=6.175 and 19.532， both P<0.05）. The binary logistic regression analysis showed that APRI （odds ratio ［OR］=0.309， 95% confidence interval ［CI］： 0.109‍ ‍—‍ ‍0.881， P=0.028）， PALBI （OR=7.667， 95%CI： 2.005‍ ‍—‍ ‍29.327， P=0.003）， Ca （OR=0.001， 95%CI： 0.000‍ ‍—‍ ‍0.141， P=0.007）， TC （OR=0.469， 95%CI： 0.226‍ ‍—‍ ‍0.973， P=0.042）， and TT （OR=0.599， 95%CI： 0.433‍ ‍—‍ ‍0.830， P=0.002） were independent influencing factors for esophagogastric variceal bleeding in liver cirrhosis. A nomogram model was established based on the above factors and had an index of concordance of 0.899 and a well-fitted calibration curve. ConclusionAPRI and PALBI have a good value in predicting esophagogastric variceal bleeding in patients with liver cirrhosis， and the nomogram model established based on this study can predict the incidence rate of esophagogastric variceal bleeding in patients with liver cirrhosis.