The existing epilepsy seizure detection algorithms have problems such as overfitting and poor generalization ability due to high reliance on manual labeling of electroencephalogram's data and data imbalance between seizure and interictal periods. An unsupervised learning detection method for epileptic seizure that jointed graph attention network (GAT) and Transformer framework (GAT-T) was proposed. In this method, channel correlations were adaptively learned by GAT encoder. Temporal information was captured by one-dimensional convolution decoder. Combining outputs of the two mentioned above, predicted values for electroencephalogram were generated. The collective anomaly score was calculated and the detection threshold was determined. The results demonstrated that GAT-T achieved the average performance exceeding 90% (or 99%) with a 0.25 s (or 2 s) time segment length, which could effectively detect epileptic seizures. Moreover, the channel association probability matrix was expected to assist clinicians in the initial screening of the epileptogenic zone, and ablation experiments also reflected the significance of each module in GAT-T. This study may assist clinicians in making more accurate diagnostic and therapeutic decisions for epilepsy patients.
Humans ; Electroencephalography/methods* ; Epilepsy/physiopathology* ; Algorithms ; Seizures/physiopathology* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

BACKGROUND:The traditional view is that proximal fibular fractures do not require fixation.Others and our research suggest that the proximal fibular structure plays an important role in the stability of the posterolateral structure of the knee joint,and its mechanism of action is worth studying. OBJECTIVE:To investigate the biomechanical effects of proximal fibular fractures on various structures of the knee joint in an extended state. METHODS:Finite element method was used to conduct simulated biomechanical experiments.A healthy young male volunteer was selected to establish a finite element model of the knee joint in an extended state using MRI and CT image data,and four proximal fibular shapes were simulated(Model A:intact,Model B:1 cm fracture below the fibular head,Model C:1 cm tip defect fracture from the proximal end of the fibula to the distal end,and Model D:2 cm bone defect from the proximal end of the fibula).A longitudinal concentrated load of 1 500 N was applied to the femoral shaft to compare and analyze the distribution and changing trend of the maximum equivalent stress and maximum first principal stress of each structure of the knee joint in an extended state under four working conditions. RESULTS AND CONCLUSION:(1)In Model A,the maximum equivalent stress in the tibial cartilage and lateral compartment of the meniscus was greater than that in the medial compartment,while the maximum first principal stress in the tibial plateau and medial compartment of the meniscus was greater than that in the lateral compartment.The maximum equivalent stress of the medial condyle of the femoral cartilage was greater than that of the lateral condyle,and the maximum first principal stress of the medial condyle of the femoral cartilage was greater than that of the medial condyle.(2)Compared to Model A,there was no significant difference in the magnitude and distribution of the maximum equivalent stress and maximum first principal stress in the cartilage and meniscus of Model C.(3)Compared to Model A,the maximum equivalent stress increase amplitude of Model B was in the order of medial tibial cartilage(14.9％),medial condyle of femoral cartilage(13.6％),and medial meniscus(6.6％).The maximum first principal stress increase amplitude was the medial meniscus(11.06％),the medial tibial cartilage(8.65％),and the medial condyle of the femoral cartilage(7.46％).The maximum equivalent stress increase amplitude of the ligament was as follows:popliteal arch ligament(33.2％)>anterior cruciate ligament(21.3％)>fibular collateral ligament(17％)>posterior cruciate ligament(14.3％)>anterior lateral collateral ligament(13.2％)>medial collateral ligament(10.1％).(4)Compared to Model A,the maximum equivalent stress increasing trend of Model D followed the medial tibial cartilage(19.5％),femoral cartilage medial condyle(17.9％),and medial meniscus(9.9％).The maximum first principal stress in sequence was the medial meniscus(14.04％),the medial tibial cartilage(13.03％),and the medial condyle of the femoral cartilage(11.37％).The increasing trend of maximum equivalent stress in ligaments was as follows:anterior cruciate ligament(25.2％)>posterior cruciate ligament(18.9％)>medial collateral ligament(18.5％)>anterior lateral collateral ligament(12.7％).(5)It is suggested that when the knee joint is extended,a 1 cm fracture below the fibular head and a 2 cm fibular tip bone defect have a significant impact on the structure of the medial ventricular cartilage,anterior cruciate ligament,and posterior lateral ligament complex.

Background and purpose:For patients with human epidermal growth factor receptor 2(HER2)-positive metastatic breast cancer,trastuzumab treatment can prolong the overall survival and significantly improve the prognosis of patients.However,the reference original research trastuzumab(Herceptin?)is more expensive.Biosimilars have comparable efficacy and safety profiles while increasing patient access to treatment.This clinical trial aimed to evaluate the efficacy,pharmacokinetics,safety and immunogenicity of the trastuzumab biosimilar AK-HER2 compared to trastuzumab(Herceptin?)in patients with HER2-positive metastatic breast cancer.Methods:This multi-center,randomised,double-blind phase Ⅲ clinical trial was conducted in 43 subcenters in China.This study complied with the research protocol,the ethical principles stated in the Declaration of Helsinki and the quality management standards for drug clinical trials.It was approved by the hospital's medical ethics committee.The clinical trial registration agency is the State Food and Drug Administration(clinical trial approval number:2015L04224;clinical trial registration number:CTR20170516).Written informed consent was obtained from subjects before enrollment.Enrolled patients were randomly assigned to the AK-HER2 group and the control group,respectively receiving AK-HER2 or trastuzumab(initial loading dose 8 mg/kg,maintenance dose 6 mg/kg,every 3 weeks as a treatment cycle,total treatment time is 16 cycles)in combination with docetaxel(75 mg/m2,treatment duration is at least 9 cycles).The primary endpoint of this clinical trial was the objective response rate(ORR9)between the AK-HER2 group and the control group in the 9th cycle.Secondary efficacy endpoints included ORR16,disease control rate(DCR),clinical benefit rate(CBR),progression-free survival(PFS)and 1-year survival rate.In this study,100 subjects(AK-HER2 group to control group=1:1)were randomly selected for blood sample collection after the 6th cycle of medication,The collection time points were 45 minutes after infusion(the end of administration),4,8,24,72,120,168,336,and 504 hours after the end of administration.After collection,blood samples were analyzed by PK parameter set(PKPS).Other evaluation parameters included safety and immunogenicity assessment.Results:A total of 550 patients with HER2-positive metastatic breast cancer were enrolled in this clinical trial between Sep.2017 and Mar.2021.In the AK-HER2 group(n=237),129 subjects in the experimental group achieved complete response(CR)or partial response(PR),and the ORR9 was 54.4%.There were 134 subjects in the control group(n=241)who achieved CR or PR,and the ORR9 was 55.6%.The ORR9 ratio between the AK-HER2 group and the control group was 97.9%[90%confidence interval(CI):85.4%-112.2%,P=0.784],which was not statistically significant.In all secondary efficacy endpoints,no statistically significant differences were observed between the two groups.We conducted a mean ratio analysis of pharmacokinetics(PK)parameters between the AK-HER2 group and the control group,and the results suggested that the pharmacokinetic characteristics of the two drugs are similar.The incidence of treatment emergent adverse event(TEAE)leading to drug reduction or suspension during trastuzumab treatment was 3.6%(10 cases)in the AK-HER2 group and 8.1%(22 cases)in the control group.There was statistically significant difference between the two groups(P=0.027).The incidence rate was significantly lower in the AK-HER2 group than in the control group,and there was no statistically significant difference among the other groups.The differences in the positive rates of anti-drug antibodies(ADA)and neutralizing antibodies(NAB)between groups were of no statistical significance(P=0.385 and P=0.752).Conclusion:In patients with HER2-positive metastatic breast cancer,AK-HER2 was comparable to the trastuzumab(Herceptin?)in terms of drug efficacy,pharmacokinetics,safety and immunogenicity.

Objective To investigate the feasibility of low-voltage,automatic tube current adjustment(ATCM)and low contrast agent concentration,dose and injection rate combined with full-model iterative re-construction(IMR)in vertebral artery V3-segment three-dimensional CT angiography(3DCTA).Methods A total of 60 patients with suspected upper cervical spine,craniocervical junction lesions undergoing cervical vertebral artery V3 segment 3DCTA in this hospital from November 2019 to May 2020 were selected and divided into the group A and B by adopting the random number table method,30 cases in each group.The group A adopted the ATCM technology of 80 kV,average tube current of 50 mAs,25 mL of contrast agent io-hexol(iodine content 300 mg/mL)combined IMR technology with an injection rate of 3 mL/s,while the group B adopted 120 kV,150 mAs fixed tube current,50 mL injection rate of 5 mL/s contrast agent iopamidol(iodine content 370 mg/mL)combined filter back projection(FBP)reconstruction technology.CT value,noise,signal-to-noise ratio(SNR),contrast noise ratio(CNR)and image sensitivity(FOM)were measured and compared between the two groups and the quality of the resulting images was evaluated.The CT volumet-ric dose index(CTDIvol)and dose-length product(DLP)were recorded,and the effective dose(ED)was cal-culated.Results There was no statistically significant difference in the vertebral arterial CT value between the two groups(P＞0.05),but the noise of the group A was lower than that of the group B(P＜0.05),SNR,CNR and FOM of the group A were greater than those of the group B(P＜0.05).The image quality of the two groups met the requirements of clinical diagnosis[(4.78±0.41)points vs.(4.85±0.35)points],and there was no statistically significant difference in the subjective evaluation of image quality(P＞0.05).The CTDIvol,DLP and ED levels in the group A were lower than those in the group B(P＜0.05).The iodine in-takes of contrast medium in the group A and group B were 7.5 g and 18.5 g,respectively,and the iodine flow rates of contrast agent were 0.9 and 1.85 mg/s,respectively,and compared with group B,the iodine intake and iodine flow rate of the group A were decreased by 59.5％and 51.4％,respectively.Conclusion Low tube voltage ATCM and low contrast concentration,dose and injection rate combined with IMR technology can not only ensure the 3DCTA image quality of vertebral artery V3 segment,but also reduce the radiation dose re-ceived by the patients,and reduce the iodine intake and iodine flow rate of contrast agent.

Objective:To explore expression of each member of miR17-92 cluster in peripheral blood mononuclear cells(PBMCs)of patients with gout,to predict their possible targets and pathways of action,and to evaluate their possible mechanism and clinical significance in gout.Methods:A total 67 gouty arthritis(GA)patients were selected,including 22 patients with acute gout arthritis(AG)and 45 patients with intermittent gout(IG),and 35 normal health control(HC)were selected in Affiliated Hospital of North Sichuan Medical College.RT-qPCR measured expressions of miR17-92 cluster,IFN-γ,IL-10 and some members of JAK-STAT pathway,and relevant laboratory indicators were collected to analyze correlation between each other.Results:Relative expressions of miR17,miR18a,miR19a,miR20a and miR19b were significantly changed in AG,IG and HC(H=8.753,P<0.05;H=6.338,P<0.05;H=6.523,P<0.05;H=9.061,P<0.05;H=9.729,P<0.01).JAK3 and STAT2 expressions were statistically different in AG,IG and HC groups(H=10.349,P<0.01;H=14.801,P<0.01).Expression of IFN-γ was statistically different among AG,IG and HC groups(H=8.734,P<0.05).In AG patients,miR18a expression was inversely correlated with IBIL,Crea,MO and HGB.miR19a ex-pression was negatively associated and TC,UA and HGB.miR20a expression was negatively associated with Crea.miR19b expression was negatively associated with UA and HGB.In IG patients,miR17 expression was negatively associated with IBIL,WBC,LY and MO.miR18a expression was positively associated with ALP,miR19a expression was negatively associated with TC and UA,and miR20a expression was negatively associated with ADA and UA.Conclusion:miR17-92 cluster may regulate development and partici-pate in clinical pathology of gout by targeting JAK-STAT pathway.

Objective To analyze the effects of miR-181a-5p overexpression on metabolites in the small intestines of mice with subcutaneous oral cancer by detecting changes in metabolites and metabolic pathways.Methods Three groups were included in study:Control group,negative control and miR-181a-5p overexpression group.To establish a subcutaneous oral cancer model in mice,variously treated cell suspensions were subcutaneously injected into the upper right of the groin in female M-NSG severely immunodeficient mice.Changes in pathology and small intestinal tissues were assessed by HE staining.Changes in mouse body weight were also assessed.Tandem orbitrap mass spectrometry and ultra-high performance liquid chromatography-tandem time-of-flight mass spectrometry,were used to examine metabolites in the small intestines.By pre-analyzing the original data and quality rating sample data,XCMS was able to assess which metabolites were different among the groups.To identify unique metabolic pathways,KEGG enrichment analysis was used.Results A total of 170 distinct metabolites were found in the small intestinal tissues of Control and NC groups.Choline metabolism,alanine,aspartate,and glutamate metabolism,GABA synaptic metabolism,glycerophospholipid metabolism,cAMP signaling route,cancer center carbon metabolism,and niacin and niacin amine metabolic pathways were important signaling pathways for metabolite enrichment.In the NC group,16 distinct metabolites with VIP values larger than 2 were found in the small intestines compared with the OE group overexpressing miR-181a-5p.Glycerin phosphorylcholine,palmitic acid,3-hydroxybutyl carnitine,and β-hydroxybutyric acid were among the metabolites that significantly varied.The primary enhanced metabolic pathway was the choline pathway.Conclusions Mouse small intestines underwent slight changes from subcutaneous oral cancer with the greatest effect on metabolites critical for energy metabolism.The choline metabolic pathway was the pathway that selected absolutely metabolites in mouse small intestines with subcutaneous grafts of oral cancer.

Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Objective To quantitatively study the correlation between T1ρ and T2 values of glenohumeral articular cartilage and the degree of rotator cuff injury.Methods A total of 149 patients with rotator cuff injury and healthy volunteers were prospectively selected.All of them underwent MRI routine scanning and T1 ρ and T2 mapping sequences.The degree of rotator cuff injury was graded,and the T1ρ and T2 values of glenohumeral articular cartilage were measured to analyze their relationship.Results With the development of rotator cuff injury grading,the T1 ρ and T2 values of glenohumeral articular cartilage increased.There were statistically significant differences in T1ρ and T2 values of articular cartilage between the different grades of rotator cuff injury(P＜0.001).Conclusion The injury of glenohumeral articular cartilage is aggravated with the severity of rotator cuff injury.The severity of rotator cuff injury can be evaluated by analyzing the T1 ρ and T2 values of glenohumeral articular cartilage.

Objective To explore the value of measuring infrapatellar fat pad(IPFP)and muscle fat fraction(FF)around the knee joint based on iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification(IDEAL-IQ)quantitative technology in patients with knee osteoarthritis(KOA)for the degree of KOA.Methods A total of 106 participants were included in this study.Participants were grouped based on Kellgren-Lawrence grading(KLG),divided into no KOA group,mild KOA group and severe KOA group.The IDEAL-IQ technology was used to measure FF values of IPFP and muscles around the knee joint,the correlation between FF values and KOA was analyzed,and its value in diagnosing KOA was evaluated.Results In severe KOA group and mild KOA group can be observed in the way of lower IPFP FF values and higher FF values muscles around the knee joint.The FF values of IPFP and part of the muscles around the knee joint[vastus medialis muscle(VM),vastus lateralis muscle(VL),semimembranosus(SE),sartorius(SA),medial head of gastrocnemius muscle(Gas(media)),lateral head of gastrocnemius muscle(Gas(lateral))]were correlated with the degree of KOA(r/rs=-0.708,0.737,0.567,0.468,0.280,0.491,0.378),the area under the curve(AUC)for diagnosing KOA were 0.850,0.950,0.842,0.759,0.692,0.763,and 0.725,respectively.Conclusion IDEAL-IQ sequence can quantitatively assess fat infiltration of IPFP and muscles around the knee joint in patients with KOA,and has certain potential to predict the development and severity of KOA.