Objective To develop and validate a fast Monte Carlo(MC)-based patient-specific quality assurance(PSQA)tool using the treatment log files that is suitable to be used in the online adaptive radiotherapy for pencil beam scanning proton therapy(PBSPT-ART).Methods The proposed tool first used the delivery log file of a PBSPT plan to reversely reconstruct the PBSPT(rPBSPT)plan,and then used an in-house developed graphic processing unit(GPU)-accelerated virtual particle MC(VPMC)dose engine to calculate the dose distribution of the rPBSPT plan.The rPBSPT dose calculated by VPMC was then compared to the rPBSPT dose calculated by another independent MC dose engine(MCsquare),using 3D gamma analysis to verify the accuracy of VPMC calculation.As a demonstration of the feasibility of developed log file-based PSQA,the VPMC calculated dose of the rPBSPT plan was compared to the pre-delivery second check dose of the corresponding PBSPT plan calculated by MCsquare,using 3D gamma analysis.3D gamma analysis employes a criterion of 2 mm/2%/10%.Twenty patients with different disease sites were representatively selected to validate the efficiency and accuracy of the tool.Results The average calculation time of a rPBSPT plan by VPMC was(5.88±4.00)s in the accuracy verification.Compared to MCsquare,the passing rate of the 3D gamma analysis was 99.47%±0.72%.In the proposed PSQA tool demonstration,the passing rate of comparing the VPMC calculated rPBSPT dose to MCsquare calculated second check dose of the corresponding PBSPT plan was 98.91%±0.92%.Conclusion The accuracy and efficiency of the tool can meet the requirements of PSQA in the online PBSPT-ART workflow.

Objective To propose a Weka-based method for classifying acute lymphoblastic leukemia(ALL)images,aiming to improve ALL cell classification accuracy and stability.Methods Firstly,totally 180 images were randomly selected from ALL-IDB2 subset of Acute Lymphoblastic Leukemia Image Database(ALL-IDB),including 90 images of patients and 90 images of healthy people;secondly,the image preprocessing was carried out using ImageJ software and image features were extracted such as texture,edge and shape;thirdly,image classification was implemented with four classifiers of Weka,including random forest(RF),Bayesian network(BN),J48 decision tree and sequential minimal optimization(SMO),and the key parameters of each classifier were optimized;finally,the performance of the classifiers was verified using 80 independent test images.Results Before parameter optimization,the accuracy of RF,J48 decision tree,BN and SMO classifiers was 94.3％,86.2％,83.6％and 83.0％,respectively.After optimization,the accuracy increased to 95.2％,86.3％,86.3％and 89.7％,respectively.After optimization,RF behaved the best on the independent test set with a classification accuracy of 90.0％,followed by SMO(81.3％),BN(81.3％)and J48 decision tree(75.0％).Conclusion The Weka-based ALL image classification method with a high accuracy is efficient and reliable for automated classification of ALL cell.[Chinese Medical Equipment Journal,2025,46(2):10-15]

Objective To investigate the impact of county-level"Unified ECG Network"construction on the treatment efficiency and clinical outcomes of patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A retrospective analysis was conducted on the clinical data of STEMI patients from Beichuan County and Yanting County in Mianyang City,and Jiange County in Guangyuan City,Sichuan Province,during the 18 months before(128 cases)and 18 months after(187 cases)the establishment of the"Unified ECG Network."Differences in demographic characteristics,treatment efficiency,therapeutic methods,and clinical outcomes between the two groups were compared.Results There was no statistically significant difference in general demographic characteristics between the two groups(all P＞0.05).Compared with the pre-construction group,the post-construction group showed significantly shorter times in initial ECG completion[5(3,7)min vs.6(4,8)min],initial ECG diagnosis[3(2,4)min vs.5(2,6)min],first medical contact to preliminary diagnosis[10(9,12)min vs.13(11,15)min],network hospital door-in-door-out time[21(19,23)min vs.26(23,30)min],and first medical contact to wire-crossing time[(94.82±11.87)min vs.(107.97±18.39)min](allP＜0.001).The proportion of patients bypassing the emergency department and coronary care unit significantly increased(64.17％vs.32.81％,P＜0.001).The proportion of patients undergoing emergency percutaneous coronary intervention significantly increased(72.73％vs.51.56％,P＜0.001),while the proportions of thrombolytic therapy and non-reperfusion therapy significantly decreased(both P＜0.05).Additionally,in-hospital mortality rate,Killip class≥Ⅱ proportion,incidence of major adverse cardiovascular events,and average length of hospital stay were all significantly reduced(all P＜0.05).There were no statistically significant differences among the three county-level chest pain centers in terms of major treatment efficiency,therapeutic strategies,or clinical outcomes(all P＞0.05).Conclusions The construction of the county-level"Unified ECG Network"can significantly improve the treatment efficiency of STEMI patients,optimize reperfusion therapy strategies,improve clinical outcomes,and demonstrate substantial clinical promotion value.

Objective To investigate the impact of county-level"Unified ECG Network"construction on the treatment efficiency and clinical outcomes of patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A retrospective analysis was conducted on the clinical data of STEMI patients from Beichuan County and Yanting County in Mianyang City,and Jiange County in Guangyuan City,Sichuan Province,during the 18 months before(128 cases)and 18 months after(187 cases)the establishment of the"Unified ECG Network."Differences in demographic characteristics,treatment efficiency,therapeutic methods,and clinical outcomes between the two groups were compared.Results There was no statistically significant difference in general demographic characteristics between the two groups(all P＞0.05).Compared with the pre-construction group,the post-construction group showed significantly shorter times in initial ECG completion[5(3,7)min vs.6(4,8)min],initial ECG diagnosis[3(2,4)min vs.5(2,6)min],first medical contact to preliminary diagnosis[10(9,12)min vs.13(11,15)min],network hospital door-in-door-out time[21(19,23)min vs.26(23,30)min],and first medical contact to wire-crossing time[(94.82±11.87)min vs.(107.97±18.39)min](allP＜0.001).The proportion of patients bypassing the emergency department and coronary care unit significantly increased(64.17％vs.32.81％,P＜0.001).The proportion of patients undergoing emergency percutaneous coronary intervention significantly increased(72.73％vs.51.56％,P＜0.001),while the proportions of thrombolytic therapy and non-reperfusion therapy significantly decreased(both P＜0.05).Additionally,in-hospital mortality rate,Killip class≥Ⅱ proportion,incidence of major adverse cardiovascular events,and average length of hospital stay were all significantly reduced(all P＜0.05).There were no statistically significant differences among the three county-level chest pain centers in terms of major treatment efficiency,therapeutic strategies,or clinical outcomes(all P＞0.05).Conclusions The construction of the county-level"Unified ECG Network"can significantly improve the treatment efficiency of STEMI patients,optimize reperfusion therapy strategies,improve clinical outcomes,and demonstrate substantial clinical promotion value.

Objective To develop and validate a fast Monte Carlo(MC)-based patient-specific quality assurance(PSQA)tool using the treatment log files that is suitable to be used in the online adaptive radiotherapy for pencil beam scanning proton therapy(PBSPT-ART).Methods The proposed tool first used the delivery log file of a PBSPT plan to reversely reconstruct the PBSPT(rPBSPT)plan,and then used an in-house developed graphic processing unit(GPU)-accelerated virtual particle MC(VPMC)dose engine to calculate the dose distribution of the rPBSPT plan.The rPBSPT dose calculated by VPMC was then compared to the rPBSPT dose calculated by another independent MC dose engine(MCsquare),using 3D gamma analysis to verify the accuracy of VPMC calculation.As a demonstration of the feasibility of developed log file-based PSQA,the VPMC calculated dose of the rPBSPT plan was compared to the pre-delivery second check dose of the corresponding PBSPT plan calculated by MCsquare,using 3D gamma analysis.3D gamma analysis employes a criterion of 2 mm/2%/10%.Twenty patients with different disease sites were representatively selected to validate the efficiency and accuracy of the tool.Results The average calculation time of a rPBSPT plan by VPMC was(5.88±4.00)s in the accuracy verification.Compared to MCsquare,the passing rate of the 3D gamma analysis was 99.47%±0.72%.In the proposed PSQA tool demonstration,the passing rate of comparing the VPMC calculated rPBSPT dose to MCsquare calculated second check dose of the corresponding PBSPT plan was 98.91%±0.92%.Conclusion The accuracy and efficiency of the tool can meet the requirements of PSQA in the online PBSPT-ART workflow.

Objective To propose a Weka-based method for classifying acute lymphoblastic leukemia(ALL)images,aiming to improve ALL cell classification accuracy and stability.Methods Firstly,totally 180 images were randomly selected from ALL-IDB2 subset of Acute Lymphoblastic Leukemia Image Database(ALL-IDB),including 90 images of patients and 90 images of healthy people;secondly,the image preprocessing was carried out using ImageJ software and image features were extracted such as texture,edge and shape;thirdly,image classification was implemented with four classifiers of Weka,including random forest(RF),Bayesian network(BN),J48 decision tree and sequential minimal optimization(SMO),and the key parameters of each classifier were optimized;finally,the performance of the classifiers was verified using 80 independent test images.Results Before parameter optimization,the accuracy of RF,J48 decision tree,BN and SMO classifiers was 94.3％,86.2％,83.6％and 83.0％,respectively.After optimization,the accuracy increased to 95.2％,86.3％,86.3％and 89.7％,respectively.After optimization,RF behaved the best on the independent test set with a classification accuracy of 90.0％,followed by SMO(81.3％),BN(81.3％)and J48 decision tree(75.0％).Conclusion The Weka-based ALL image classification method with a high accuracy is efficient and reliable for automated classification of ALL cell.[Chinese Medical Equipment Journal,2025,46(2):10-15]

Cognitive dysfunction is one of the serious complications of type 2 diabetes.Exercise interven-tion has a certain effect on improving diabetes cognition,but the exact process remains ambiguous.This research aims to explore the impact and molecular processes of treadmill exercises in enhancing cognitive impairments in type 2 diabetic mice.Ten m/m 8-week-old male mice were used as the control group.Forty db/db mice,each 8 weeks old and male,were categorized into four distinct groups with each group containing 10 mice,including the db/db group(model group),db+Exe group(exercise group),db+Exe+SB203580 group(exercise combined with the p38 MAPK inhibitor group),db+SB203580 group(p38 MAPK inhibitor group).db+Exe group and db+Exe+SB203580 group were subjected to treadmill running intervention(40 min/time,5 times/week,a total of 8 weeks).db+Exe+SB203580 and db+SB203580 group were intraperitoneally injected with SB203580(5 mg/kg,5 times/week,8 weeks)2 hours before treadmill exercise.The results of body weights and fasting blood glucose measurement showed that 8-week treadmill exercise could significantly reduce the body mass and fasting blood glucose levels(P＜0.01);the results of water maze showed that treadmill exercise improved cognitive dysfunction in diabetic mice(P＜0.05).Immunofluorescence staining revealed that treadmill exercise diminished the fluorescence intensity of NLRP3 in hippocampus,and there was a significant difference in CA1 and CA3 regions(P＜0.05).Treadmill exercise reduced the fluorescence intensity of PI in the hippocampus,and there was a significant difference in the DG region(P＜0.01).The results of qRT-PCR revealed that treadmill exercise decreased IL-1β and IL-18 mRNA levels in hippocampus,with a notable difference in IL-1β mRNA levels(P＜0.05).Western blotting analysis revealed that treadmill exercise reduced the concentrations of Caspase3,Caspase9 and Bax in hippocampus(P＜0.01),reduced the concentrations of TXNIP,NLRP3,GSDMD-N,IL-1β,IL-18,Cleaved Caspase1 and Caspasel(P＜0.05),decreased the levels of p-RIPK1,RIPK1,p-RIPK3 and RIPK3(P＜0.05).After adding p38 inhibitors,treadmill ex-ercise combined with p38 inhibitor intervention further inhibited the expression of Caspase3,TXNIP,GS-DMD-N and IL-18(P＜0.05),and the expression levels of Caspase9,Bax,NLRP3,IL-1β,Cleaved Caspase 1 and Caspase 1 also showed a downward trend.The expression of RIPK1 and p-RIPK3 in-creased significantly(P＜0.05),and the protein expression levels of p-p38,p-RIPK1 and RIPK3 showed an upward trend.In conclusion,treadmill running intervention can effectively improve the cogni-tive dysfunction in type 2 diabetic mice,and its mechanism is partly through the p38 MAPK signaling pathway to regulate PANoptosis.

ObjectiveTo explore the mechanism of treadmill exercise against type 2 diabetes mellitus (T2DM) with non-alcoholic fatty liver disease (NAFLD) based on the regulator effects of exercise on ferroptosis. MethodsEight 8-week-old male m/m mice were used as control group (Con, n=8), and db/db mice of the matched age were randomly divided into T2DM model group (db/db, n=8), exercise group (db+Exe, n=8), p38 mitogen-activated protein kinase (MAPK) inhibitor group (db+SB203580, n=8) and exercise combined with p38 MAPK inhibitor group (db+Exe+SB203580, n=8). After one-week adaptive feeding, the mice in the db+Exe group and db+Exe+SB203580 group underwent moderate intensity treadmill exercise for 40 min/d, 5 d/week lasting 8 weeks. The db+SB203580 group and db+Exe+SB203580 group were treated with SB203580 (a specific inhibitor of p38 MAPK) with a dose of 5 mg/kg, 5 d/week for 8 weeks. And the exercise intervention was performed 2 h later after the intraperitoneal injection of SB203580. The body weight and fasting blood glucose of mice were measured regularly every week during the experiment. After 24 h of the last intervention, the mice were weighted, the liver tissues were taken, weighted and the liver index was calculated. The pathological changes of liver were determined by Oil Red O and hematoxylin-eosin (HE) staining. The levels of blood lipids, liver function, Fe²⁺ and oxidative stress markers of liver were measured by enzyme linked immunosorbent assay (ELISA). The related mRNA expression levels of lipogenesis and inflammation were evaluated by quantitative reverse transcriptase-mediated PCR (qRT-PCR). The related protein expression levels of lipogenesis and ferroptosis in liver were determined by immunohistochemical (IHC) staining and Western blot. ResultsThe body weight, fasting blood glucose, liver index, blood lipid and transaminase levels in the db/db group were significantly increased compared with the Con group. HE and Oil Red O staining showed severe lipid accumulation and ballooning change in the liver of db/db mice. Biochemical tests showed that Fe²⁺ and MDA level of liver constitution homogenate increased, while GSH level decreased significantly. The results of qRT-PCR showed that the mRNA levels of MCP-1, IL-6, SREBF1 and ACC1 in liver tissue of db/db mice were all significantly increased. Western blot results showed that the expression levels of SREBF1, ACC1 increased, ferroptosis relative proteins were significantly decreased. The 8 weeks of exercise significantly reduced the rise in body weight, blood glucose, liver index and blood lipid levels in db/db mice. Exercise intervention also alleviated hepatic steatosis and reduced the expression levels of Fe²⁺, MDA, MCP-1, IL-6, ACC1 and SREBF1, upregulated the expression levels of GSH, NRF2, HO-1, SLC7A11 and GPX4 in liver tissue of db/db mice. The intervention of exercise combined with SB203580 significantly down-regulated the mRNA expression levels of ACC1, MCP-1, IL-6, reduced the levels of Fe²⁺ and MDA, and up-regulated the level of GSH in db/db mice. Compared with the db+Exe group, the expression of Fe²⁺, MDA, MCP-1, and SREBF1 in the liver of the db+Exe+SB203580 group mice significantly increased, while the expression level of GSH and expression levels of ferroptosis relative proteins also significantly decreased. In addition, compared with db+SB203580 group, the iron accumulation and lipid peroxidation in the liver of db+Exe+SB203580 group were significantly improved. ConclusionThe8-week treadmill exercise can effectively alleviate liver injury and steatosis, and its mechanism may be related to the inhibition of hepatocyte ferroptosis through p38 MAPK signal.

Objective:To explore the relationship between the polymorphisms of AHNAK2 gene rs12882641,rs28583515 and rs2582497 loci and coronary heart disease(CHD)in the population of Xinjiang.Materials:This study used a case-control method,a total of 602 patients who were hospitalized and underwent coronary angiogra-phy(CAG)at ourheart center from Jan 2019 to Dec 2021 were selected.According toCAG results,the patients were divided into CHD group(n=301)and non-CHD group(n=301).The AHNAK2 gene rs12882641,rs28583515 and rs2582497 loci were genotyped using the improved multiple ligase detection reaction(iMLDR)technique,and the relationship between AHNAK2 gene polymorphisms and CHD was analyzed.Results:Compared with non-CHD group,there was significant rise in the distribution frequencies of AC+CC genotypes(52.8%vs.61.1%,P= 0.040)at rs2582497 locus of the AHNAK2 gene under the dominant model;there was significant reduction in distri-bution frequency of the CC genotype(65.8%vs.53.8%)at the rs28583515 locus of the AHNAK2 gene,and signif-icant rise in distribution frequencies of CT+TT(34.2%vs.46.2%)under the dominant model,TT under the re-cessive model(0.7%vs.3.0%)and CT under the additive model(33.6%vs.43.2%)in CHD group,P＜0.05 or＜0.01.After adjusting for confounding factors,logistic regression analysis indicated that the dominant model of the rs28583515 locus remained an independent risk factor for CHD(OR=1.509,P=0.036).Conclusion:The AH-NAK2 gene rs28583515 locus is closely related to the occurrence and development of CHD in the Xinjiang popula-tion.The dominant model of the AHNAK2 gene rs28583515 locus is an independent risk factor for CHD.

Blood loss and blood transfusion requirement are important quality control indicators of cardiovascular surgery and cardiovascular anesthesia. Patient blood management (PBM) is an evidence-based, multidisciplinary approach to optimizing the care of patients who may need transfusion, which encompasses anemia management, hemodilution, cell salvage, hemostatic treatment, and other approaches to reducing bleeding and minimizing blood transfusion. PBM in cardiovascular surgery is a "team sport" that involves cardiac and vascular surgeons, anesthesiologists, perfusionist, intensivists, and other health care providers. The current work provides an overview of evidence and practice of PBM at Fuwai Hospital. Implementation of PBM should also take local resource availability and cost-effectiveness of different devices, drugs, technologies, and techniques into consideration.
Humans ; Blood Transfusion/methods* ; Anemia/therapy* ; Hemorrhage ; Hospitals ; Blood Loss, Surgical