Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.

Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.

Objective To study the brain functional connectivity(FC)changes in patients with normal tension glau-coma(NTG)and healthy volunteers using FC technique of resting-state functional magnetic resonance imaging(rs-fMRI)based on V1 region seed point(ROI),so as to explore the pathogenesis and early diagnosis of NTG.Methods Fourteen NTG patients(NTG group)who met the inclusion criteria and 14 healthy controls(HCs group)were enrolled.The clinical data of all subjects were collected,and rs-fMRI was performed in both groups.The magnetic resonance data was pre-pro-cessed by software,and bilateral A1 regions were taken as the ROI to analyze their correction with the whole brain voxel time series and obtain the FC value between the ROI and the whole brain by comparison of FC values in resting state be-tween the groups.Pearson correlation analysis was used to explore the relationship between FC value in the brain regions with significant differences with the ROI and clinical variables in the NTG group.Results Compared with the subjects in the HCs group,there were no statistically significant differences in age,gender,body weight,cup-disc ratio and 24 h mean intraocular pressure of patients in the NTG group(all P＞0.05),and there were statistically significant differences in the best corrected visual acuity(BCVA)of both eyes and peripapillary retinal nerve fiber layer thickness(RNFLT)(all P＜0.05).The Pearson correlation analysis showed that FC value of the brain regions with abnormal FC to V1 region were cor-related with RNFLT in the NTG group(P＜0.05).ROI1-left superior frontal gyrus,ROI1-right superior frontal gyrus,ROI2-left cingulate gyrus and ROI2-right middle frontal gyrus were significantly positively correlated with RNFLT(all P＜0.05).Compared with the HCs group,the brain regions with reduced FC to the right ROI in the NTG group were the left superior frontal gyrus and right superior frontal gyrus;the brain regions with reduced FC to the left ROI were the left cingulate gyrus and right middle frontal gyrus.Conclusion Compared to healthy individuals,NTG patients have significant changes in the functional connections between certain specific brain regions and V1 region,including bilateral superior frontal gyrus,left cingulate gyrus,and middle frontal gyrus.The changes in brain functional activity may be caused by visual dysfunction caused by NTG,leading to functional impairment of the visual and cognitive emotion processing brain regions,which may be one of the potential neuropathological mechanisms in NTG patients.

Objective To explore the changes in macular microcirculation status and visual function in patients with normal tension glaucoma(NTG)using the optical coherence tomography angiography(OCTA)and microperimeter MP-3 and analyze the correlation between the two.Methods In this cross-sectional observational study,17 NTG patients(30 eyes)were collected as the NTG group and then divided into mild,moderate and severe NTG subgroups according to the severity of the disease.During the same period,13 healthy subjects(23 eyes)with the same age and gender distribution were selected as the control group.OCTA was used to obtain linear density(LD)and perfusion density(PD)of superficial retinal vessels in the macular area.The microperimeter MP-3 was used to measure retinal sensitivity(RS)within 10° and fixation rate at 2° and 4° of the macular area.The OCTA parameters and microperimeter MP-3 parameters were compared among all groups,and the correlation between OCTA parameters and microperimeter MP-3 parameters in NTG patients was analyzed.Results There were no significant differences in LD and PD between the control group and the mild NTG sub-group in the central and nasal sides of the macula;the LD and PD in the remaining regions and overall average LD and PD showed a gradual downward trend in the control group and the mild,moderate and severe NTG subgroups.Compared with the control group,the RS of the mild NTG subgroup was lower in the inferior and temporal regions of the macular area.The RS of each region and overall average RS in the macular area decreased with the aggravation of the NTG.In the NTG group,LD and PD were significantly positively correlated with RS in each region and overall average RS in the macular area(all P＜0.05).In the NTG group,LD and PD were positively correlated with P2 in some regions of the macular area.Con-clusion Compared with the control group,the macular microcirculation status and visual function of NTG patients signif-icantly decreased with the progression of the disease;there is a significant correlation between macular LD and RS in NTG patients.

The close relationship between gastric cancer (GC) and type 2 diabetes mellitus (T2DM) has garnered significant attention. On one hand, T2DM may play a role in the development and progression of GC, correlating with poor patient outcomes. On the other hand, after radical surgery for GC, T2DM can be effectively managed, potentially improving tumor prognosis. In recent years, bariatric and metabolic surgery (BMS) has revolutionized T2DM treatment for obese and overweight patients. Comparative analyses reveal similarities between surgical approaches for gastric cancer and BMS, leading to the emergence of the onco-metabolic surgery (OMS) concept, which suggests that radical tumor resection and T2DM remission in GC patients can be potentially achieved through a single procedure. However, there are notable differences between OMS and BMS, including target populations, surgical details, and perioperative management. Therefore, optimizing the application of the OMS concept in GC patients holds significant clinical importance. This article provides a review to facilitate the better implementation of this concept in practice.

The close relationship between gastric cancer (GC) and type 2 diabetes mellitus (T2DM) has garnered significant attention. On one hand, T2DM may play a role in the development and progression of GC, correlating with poor patient outcomes. On the other hand, after radical surgery for GC, T2DM can be effectively managed, potentially improving tumor prognosis. In recent years, bariatric and metabolic surgery (BMS) has revolutionized T2DM treatment for obese and overweight patients. Comparative analyses reveal similarities between surgical approaches for gastric cancer and BMS, leading to the emergence of the onco-metabolic surgery (OMS) concept, which suggests that radical tumor resection and T2DM remission in GC patients can be potentially achieved through a single procedure. However, there are notable differences between OMS and BMS, including target populations, surgical details, and perioperative management. Therefore, optimizing the application of the OMS concept in GC patients holds significant clinical importance. This article provides a review to facilitate the better implementation of this concept in practice.

Cerebral ischemia-reperfusion injury(CIR1)refers to the recovery of blood supply after cerebral ischemia,which leads to further damage and the dysfunction of brain tissue.Modern medicine has made some progress in the prevention and treatment of CIRI,but it still faces some challenges and limitations.Therefore,it is of great clinical value to find effective interventions to prevent and treat CIRI.AMP-activated protein kinase(AMPK)and its downstream proteins are important targets for the treatment of CIRI and play key roles in the regulation of cellular energy homeostasis.Traditional Chinese medicine for CIRI has multi-target and multi-pathway activities and multiple effects.It can activate a cascade of reactions in the AMPK signaling pathway and can be used to treat CIRI by regulating autophagy,oxidative stress,inflammatory response,and apoptosis,and has achieved certain result.Therefore,this paper summarizes the structure and mechanisms of the AMPK-related signaling pathway,elaborates on its relationship with CIRI,and systematically summarizes the research status of traditional Chinese medicine's ability to regulate the AMPK signaling pathway in the prevention and treatment of CIRI.This paper aims to provide new ideas for the prevention and treatment of CIRI using traditional Chinese medicine and the development of new drugs.

Objective To explore the value of deep learning(DL)models semi-automatic training system for automatic optimization of clinical image quality control of transthoracic echocardiography(TTE).Methods Totally 1 250 TTE videos from 402 patients were retrospectively collected,including 490 apical four chamber(A4C),310 parasternal long axis view of left ventricle(PLAX)and 450 parasternal short axis view of great vessel(PSAXGv).The videos were divided into development set(245 A4C,155 PLAX,225 PSAXGV),semi-automated training set(98 A4C,62 PLAX,90 PSAXGV)and test set(147 A4C,93 PLAX,135 PSAXGV)at the ratio of 5:2:3.Based on development set and semi-automatic training set,DL model of quality control was semi-automatically iteratively optimized,and a semi-automatic training system was constructed,then the efficacy of DL models for recognizing TTE views and assessing imaging quality of TTE were verified in test set.Results After optimization,the overall accuracy,precision,recall,and F1 score of DL models for recognizing TTE views in test set improved from 97.33％,97.26％,97.26％and 97.26％to 99.73％,99.65％,99.77％and 99.71％,respectively,while the overall accuracy for assessing A4C,PLAX and PSAXGV TTE as standard views in test set improved from 89.12％,83.87％and 90.37％to 93.20％,90.32％and 93.33％,respectively.Conclusion The developed DL models semi-automatic training system could improve the efficiency of clinical imaging quality control of TTE and increase iteration speed.

Objective To prepare Zishen pills as gel plaster according to the prescription,and investigate its transdermal absorption characteristics in vitro.Methods Based on preliminary experiments,the matrix prescription of the gel plaster was optimized by single-factor tests and the Box-Behnken design.Evaluation indicators included initial viscosity,viscosity retention and sensory scores.The modified Franz diffusion cell was used to investigate the effect of penetration enhancers on the transdermal characteristics of gel plaster in vitro,with the permeability of neomangiferin,phellodendrine hydrochloride,mangiferin and berberine hydrochloride as evaluation indicators.Results The prescription dosage of the preferred matrix for the Zishen gel plaster was sodium polyacrylate NP700 2.55 g,glycerin 11.04 g,polyvinylpyrrolidone K90 1.13 g,tartaric acid 0.1 g,glycyrrhizin 0.1 g,kaolin 0.3 g,and distilled water 15 g.Among different types and concentrations of permeation enhancers,5%aminoketone showed the best permeation performance.The permeation rates for neomangiferin,phellodendrine hydrochloride,mangiferin,and berberine hydrochloride were 1.5338,1.7809,2.3247 and 20.0899 μg·(cm2)-1·h-1,and the penetration rates were 2.4319,1.9408,1.9604 and 1.4701,respectively.The percutaneous absorption curve of the drug conformed to the zero-order kinetic equation.Conclusion The preparation process of the obtained gel plaste is stable and feasible,with good adhesive properties,sustained drug release,and favorable in vitro percutaneous permeability,indicating potential clinical application value.

Objective To systematically evaluate the short-term efficacy and safety of robotic pancreaticoduodenectomy (RPD) versus traditional laparoscopic pancreaticoduodenectomy (LPD), and to provide a reference for clinical research and practice. Methods Chinese and English databases such as PubMed, Embase, the Cochrane Library, CNKI, Wanfang Data, and VIP were searched to include the cohort studies comparing the clinical efficacy of robot-assisted laparoscopy and traditional laparoscopy in pancreaticoduodenectomy. The quality of included articles was evaluated based on Cochrane systematic review, and Stata15.1 software was used to perform a meta-analysis of related outcome measures extracted. Results A total of 12 cohort studies were included, with 1630 patients in total, and there were 683 patients in the RPD group and 947 patients in the LPD group. The meta-analysis showed that there were significant differences between the RPD group and the LPD group in postoperative bleeding rate (odds ratio [ OR ]=0.66, 95% confidence interval [ CI ]: 0.48-0.91, P < 0.05), rate of conversion to laparotomy ( OR =0.41, 95% CI : 0.30-0.56, P < 0.05), estimated intraoperative blood loss (weighted mean difference [ WMD ]=-0.77, 95% CI : -1.33 to -0.22, P < 0.05), and length of postoperative hospital stay (WMD=-0.45, 95% CI : -0.80 to -0.11, P < 0.05). Country of publication might be one of the sources of heterogeneity in the incidence rate of postoperative complications between subgroups ( P < 0.05). Conclusion Compared with traditional LPD, da Vinci RPD can reduce postoperative bleeding rate, intraoperative blood loss and rate of conversion to laparotomy and shorten postoperative hospital stay, and meanwhile, it does not increase the operation time and the incidence rate of postoperative complications. Both surgical procedures are safe and feasible.