A lightweight residual attention enhanced Unet(LRAE-Unet)is designed for the fully automatic brain tumor segmentation.LRAE-Unet uses lightweight residual module to solve the problems of gradient disappearance and network degradation when the network layers increases,lightweight self-attention module to suppress the irrelevant areas and highlight the significant features of specific local areas,and enhanced average pooling module with a larger field of perception to reduce the space of feature map,save computing resources and avoid over-fitting.The experiment on BraTS 2019 dataset shows that the proposed method has a Dice similarity coefficient of 91.24%,88.64%and 88.32%in the segmentations of the whole tumor,tumor core and enhanced tumor,which proves its feasibility and effectiveness for brain tumor segmentation.

Objective:To investigate the clinical outcome of endovascular treatment vs. drug treatment in patients with symptomatic non-acute long-segment occlusion of the internal carotid artery. Methods:Based on prospective cohort registration research data, patients with symptomatic non-acute long-segment occlusion of internal carotid artery were retrospectively included. They were divided into a drug treatment group and an endovascular treatment group according to the actual treatment received. The latter was further divided into a successful recanalization group and an unsuccessful recanalization group. The endpoint events included ipsilateral ischemic stroke, any stroke, and all-cause death. Multivariate logistic regression analysis was used to compare the endpoint events between groups during the perioprocedural period (within 30 days), and multivariate Cox proportional hazards model was use to compare the endpoint events between the groups during the long-term follow-up. Results:A total of 684 patients were included, of which 570 (83.33%) were male, median aged 63 years (interquartile range, 56-70 years). Three hundred and fifty-three patients (51.6%) received drug treatment; 331 (48.4%) received endovascular treatment, of which 161 (48.6%) had successful recanalization. The median follow-up time was 1 223 days (interquartile range, 646.5-2 082 days), with 109 patients (15.9%) experiencing stroke recurrence events (including 87 ipsilateral ischemic stroke) and 78 (11.4%) experiencing all-cause mortality. The risk of any stroke during the perioprocedural period in the successful recanalization group was significantly higher than that in the drug treatment group (odds ratio 3.679, 95% confidence interval 1.038-13.036; P=0.044), but the risk of ipsilateral ischemic stroke recurrence (risk ratio 0.347, 95% confidence interval 0.152-0.791; P=0.012) and all-cause mortality (risk ratio 0.239, 95% confidence interval 0.093-0.618; P=0.003) during the long-term follow-up were significantly lower than those in the drug treatment group. Conclusions:In patients with symptomatic non-acute long-segment occlusion of the internal carotid artery, endovascular treatment can increase the risk of stroke recurrence within 30 days, but successful recanalization can reduce the risks of long-term ipsilateral ischemic stroke recurrence and all-cause mortality.

Objective By population survey,to explore the epidemiological characteristics of gastric precancerous lesions in Lishui District of Nanjing and provide objective basis for the prevention and treatment of early gastric cancer.Methods From July 2021 to December 2022,21 977 patients who received endoscopy and/or 13C-UBT in Lishui District People's Hospital and 6 medical community units in Nanjing City were retrospectively analyzed for demography characteristics,detection rate of gastric precancerous lesions,and H.Pylori infection rate.Results(1)590 cases of gastric precancerous lesions were detected(detection rate 2.68%);(2)The total detection rate of precancerous lesions and three pathological types in males were all higher than those in females(all P<0.001);(3)The minimum age for the total detection rate of precancerous lesions in males and the mini-mum age for each pathological type were lower than in females(P<0.001,0.009,0.005,0.002);(4)The popu-lation total H.pylori infection rate was 23.10%,the H.pylori infection rate in patients with precancerous lesions was higher than that in non-precancerous lesions(P<0.001),both H.pylori infection rate of male and female in precancerous lesions were all higher than those of non-precancerous lesions of the same sex(all P<0.001),in addition,the H.pylori infection rate of male whether in precancerous or non-precancerous lesions was higher than that of female(all P<0.001);(5)The precancerous lesions detection rate in male,female,and the overall age range of 20～29 to 70～79 years is positively correlated with age growth(P<0.001),and rapidly decreases after the age of 79,the of H.pylori infection rate was also positively correlated with age growth(P<0.001),and the trend of age change(P<0.001)was parallel to the precancerous lesions detection rate.Conclusions The detec-tion rate of gastric precancerous lesions in this region is above the average level in China;the total H.pylori infec-tion rate is at a relatively low level in China;the H.pylori infection rate is parallel to the age trend of the detection rate of gastric precancerous lesions,and increases with age.

Despite significant achievements of deep learning in medical image segmentation,there are challenges for brain tumor segmentation using deep learning,such as insufficient receptive field,excessive redundant information,and information loss.To address these issues,a novel brain tumor segmentation network model(EAU-Net)is proposed based on encoder-decoder structure.EAU-Net incorporates an effective receptive field expansion block and an attention fusion module to minimize the adverse effects caused by insufficient receptive field and excessive redundant information which often occurred in the current brain tumor segmentation network.Additionally,a bottleneck resampling module based on inverted residual structure is introduced to effectively avoid information loss during upsampling and downsampling,while deep convolutions are used to reduce computational complexity.Experimental results on the BraTS2020 dataset reveal that EAU-Net achieves the highest segmentation accuracy,demonstrating its feasibility and effectiveness for brain tumor segmentation.

Due to the nonlinearity of the transfer function in the traditional ray casting algorithm,Nyquist sampling theorem often can't be satisfied,which affects the quality of the generated model.Therefore,a novel ray casting algorithm is proposed for three-dimensional(3D)reconstruction based on improved pre-integration technology.The pre-integration classification technology is introduced into the traditional ray casting algorithm to improve the quality of the reconstructed 3D model by avoiding the maximum Nyquist sampling frequency for any nonlinear transfer function.Then,the pre-integration acceleration operator is used to optimize the calculation methods for opaqueness and color value,thus simplifying the pre-integration synthesis process and shortening the time for 3D model reconstruction.The proposed algorithm speeds up the reconstructions for the synthetic 3D cone and real coronary artery CT image by 22.5%and 23.8%,and additionally decreases mean square error of the generated 3D cone images,while increasing structural similarity index as compared with the traditional ray casting algorithm,which demonstrates that the proposed algorithm can improve both the reconstructed model quality and the reconstruction speed.

The correlations of global/local properties of brain networks with gambling behavioral scales in depression are explored.The task-state brain functional magnetic resonance imaging data of 24 patients with gambling behavior and depression and 24 healthy controls are analyzed,and preprocessed by SPM software.Graph theory analysis method is used to establish the functional brain networks in which local and global properties are calculated.Two sets of local attribute index including node degree and node efficiency are used to make edge analysis in different depression groups(major,moderate and mild depression groups,with 8 patients in each group)and healthy control group,and the changes in global properties are also discussed.Additionally,the correlations of scoring scale related to gambling behavior with 3 criteria on the global properties(small world attribute,global efficiency and local efficiency)are analyzed.The two-sample t-tests on depression groups and healthy control group confirm the significant connections among brain regions(P＜0.05),and reveal the significant negative correlations between the global brain network attribute indexes and different behavioral scales,which fully verifies the correlation between gambling behavior and depression,and provides the basis for further exploring correlation between the individual behavior attribute and depression,thereby assisting clinical diagnosis and treatment of depression patients.

Objective:To investigate predictive factors for successful endovascular recanalization in patients with non-acute symptomatic internal carotid artery occlusion (SICAO), to develop a decision tree model using the Classification and Regression Tree (CART) algorithm, and to evaluate the predictive performance of the model.Methods:Patients with non-acute SICAO received endovascular therapy at 8 comprehensive stroke centers in China were included retrospectively. They were randomly assigned to a training set and a validation set. In the training set, the least absolute shrinkage and selection operator (LASSO) algorithm was used to screen important variables, and a decision tree prediction model was constructed based on CART algorithm. The model was evaluated using the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow goodness-of-fit test and confusion matrix in the validation set.Results:A total of 511 patients with non-acute SICAO were included. They were randomly divided into a training set ( n=357) and a validation set ( n=154) in a 7:3 ratio. The successful recanalization rates after endovascular therapy were 58.8% and 58.4%, respectively. There was no statistically significant difference ( χ2=0.007, P=0.936). A CART decision tree model consisting of 5 variables, 5 layers and 9 classification rules was constructed using the six non-zero-coefficient variables selected by LASSO regression. The predictive factors for successful recanalization included fewer occluded segments, proximal tapered stump, ASITN/SIR collateral grading of 1-2, ischemic stroke, and a recent event to endovascular therapy time of 1-30 d. ROC analysis showed that the area under curve of the decision tree model in the training set was 0.810 (95% confidence interval 0.764-0.857), and the optimal cut-off value for predicting successful recanalization was 0.71. The area under curve in the validation set was 0.763 (95% confidence interval 0.687-0.839). The accuracy was 70.1%, precision was 81.4%, sensitivity was 63.3%, and specificity was 79.7%. The Hosmer-Lemeshow test in both groups showed P>0.05. Conclusion:Based on the type of ischemic event, the time from the latest event to endovascular therapy, proximal stump morphology, the number of occluded segments, and the ASITN/SIR collateral grading constructed the decision tree model can effectively predict successful recanalization after non-acute SICAO endovascular therapy.

Objective:To investigate the long-term clinical value of composite biomaterial mesh in inguinal hernia repair.Methods:The prospective randomized controlled non-inferiority study was conducted. The clinical data of 172 adult patients with inguinal hernia who were admitted to 3 medical centers, including Huadong Hospital Affiliated to Fudan University et al, from July 2014 to February 2015 were selected. Based on random number table, patients were divided into two groups. Patients underwent technique of abdominal wall reinforcement with biological mesh. Patients using the electrospun composite biomaterial mesh were allocated into experimental group, and patients using the small intestinal submucosa mesh were allocated into control group. Observation indicators: (1) grouping situations of the enrolled patients; (2) endpoint of the study. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the non-parameter rank sum test. Taking the recurrence rate of hernia at 6 years after surgery as the basis of efficacy evaluation, the Cochran-Mantel-Haenszel test was used for comparison between groups. The confidence interval method was used to conduct non-inferiority statistical analysis. If the lower limit of 95% confidence interval of the difference of recurrence rate of hernia between the experiment group and the control group was more than -10%, the experiment group was considered to be non-inferior to the control group. If the lower limit of 95% confidence interval is more than 0, the experiment group was considered to be superior to the control group. Results:(1) Grouping situations of the enrolled patients. A total of 172 adult patients with inguinal hernia were selected for eligibility. They were males, aged (61±2)years. All 172 patients were randomly divided into to the experimental group and the control group with 86 cases in each group. At 6 years after surgery, 20 patients in the experi-mental group and 19 patients in the control group was lost to follow-up. (2) Endpoint of the study. ① The primary endpoint of study. At 6 years after surgery, no patient had recurrence in the 66 patients of experimental group and 4 patients had recurrence in the 67 patients of control group. Results of non-inferiority statistical analysis showed that the 95% confidence interval of the difference of recurrence rate of hernia between the two groups was 0.27% to 14.41%, with the lower limit as 0.27%, which was more than -10% and simultaneously more than 0. ② The secondary endpoint of study. There was no significant difference in the simple verbal scale between the two groups after 6 months and 6 years at rest or cough status ( P>0.05). At a follow-up of 6 months after surgery, 2 cases of the experimental group and 5 patients of the control group had complications, showing no significant difference between the two groups( χ2=1.38, P>0.05). At a follow-up of 6 years after surgery, no complication occurred in either group. Conclusion:Composite biological mesh in inguinal repair is safe and feasible, which can have low long-term recurrence and achieve good long-term efficacy.

Periodontitis imparting the increased risk of atherosclerotic cardiovascular diseases is partially due to the immune subversion of the oral pathogen, particularly the Porphyromonas gingivalis (P. gingivalis), by inducing apoptosis. However, it remains obscure whether accumulated apoptotic cells in P. gingivalis-accelerated plaque formation are associated with impaired macrophage clearance. Here, we show that smooth muscle cells (SMCs) have a greater susceptibility to P. gingivalis-induced apoptosis than endothelial cells through TLR2 pathway activation. Meanwhile, large amounts of miR-143/145 in P.gingivalis-infected SMCs are extracellularly released and captured by macrophages. Then, these miR-143/145 are translocated into the nucleus to promote Siglec-G transcription, which represses macrophage efferocytosis. By constructing three genetic mouse models, we further confirm the in vivo roles of TLR2 and miR-143/145 in P. gingivalis-accelerated atherosclerosis. Therapeutically, we develop P.gingivalis-pretreated macrophage membranes to coat metronidazole and anti-Siglec-G antibodies for treating atherosclerosis and periodontitis simultaneously. Our findings extend the knowledge of the mechanism and therapeutic strategy in oral pathogen-associated systemic diseases.
Animals ; Mice ; Endothelial Cells ; Toll-Like Receptor 2 ; Macrophages ; Apoptosis ; Atherosclerosis ; Myocytes, Smooth Muscle ; MicroRNAs

Objective:To understand the willingness of pre-exposure prophylaxis (PrEP) use to prevent HIV infection and related factors in men who have sex with men (MSM) in Yunnan Province.Methods:Cross-sectional study method and snowball sampling method was used to carry out the survey in 14 cities (autonomous prefectures) in Yunnan from April to June 2021. According to national sentinel surveillance program, the sample size was 400 at national sentinel sites and 100 at provincial sentinel sites. The related factors of PrEP use willingness were analyzed by multiple logistic regressions with software SPSS 22.0.Results:A total of 2 450 questionnaires were completed, the rate of having heard of PrEP was 68.5% (1 677/2 449), the willingness rate of PrEP use was 56.7% (1 343/2 368), the willing rate of PrEP use at their own expense was 30.6% (724/2 368), and the willingness rate of free PrEP use was 56.2% (1 330/2 367). The of multivariate logistic analysis results showed that related factors of low willingness to use PrEP included aged 40-49 years and 50 years or above (a OR=2.49 and a OR=4.48), Han ethnic group (a OR=1.47), residence in other provinces (a OR=1.64), education level of senior high school (a OR=1.96) and college or above (a OR=3.49), sample source of bath house (a OR=3.53), online recruiting (a OR=2.53) and voluntary counseling and testing (a OR=1.42), local living time for 3-6 months and 7-12 months (a OR=0.18 and a OR=0.25) ,class 2 and 3 of survey areas (a OR=3.63 and a OR=1.71), having no anal sex with men in the past week (a OR=2.60), having no commercial homosexual behavior in the past six months (a OR=13.32) and self-perceived higer risk for HIV infection (a OR=0.50). Conclusions:There was more than half of MSM with willingness to use PrEP. The health education to promote PrEP use should be strengthen in MSM who had low willingness to use PrEP from underdeveloped areas, in Han ethnic group, with older age, from other provinces, with shorter local living time and self-perceived low risk for HIV infection.