AIM:To analyze whether alterations of voxel mirror homology connectivity(VMHC)values,as determined by resting-state functional magnetic resonance imaging(rsfMRI),occur in cerebral regions of patients with hypertensive...AIM:To analyze whether alterations of voxel mirror homology connectivity(VMHC)values,as determined by resting-state functional magnetic resonance imaging(rsfMRI),occur in cerebral regions of patients with hypertensive retinopathy(HR)and to determine the relationship between VMHC values and clinical characteristics in patients with HR.METHODS:Twenty-one patients with HR and 21 agematched healthy controls(HCs)were assessed by rsfMRI scanning.The functional connectivity between the hemispheres of the cerebrum was assessed by measuring VMHC,with the ability of VMHC to distinguish between the HR and HC groups assessed using receiver operating characteristic(ROC)curve analysis.Differences in the demographic and clinical characteristics of the HR and HC groups were analyzed by independent sample t-tests.The relationship between average VMHC in several brain areas of HR patients and clinical features was determined using Pearson correlation analysis.RESULTS:Mean VMHC values of the bilateral cuneus gyrus(BA19),bilateral middle orbitofrontal gyrus(BA47),bilateral middle temporal gyrus(BA39)and bilateral superior medial frontal gyrus(BA9)were lower in the HR than in the HC group.CONCLUSION:VMHC values can predict the development of early HR,prevent the transformation of hypertensive microangiopathy,and provide useful information explaining the changes in neural mechanism associated with HR.展开更多
BACKGROUND Colorectal polyps are precancerous diseases of colorectal cancer.Early detection and resection of colorectal polyps can effectively reduce the mortality of colorectal cancer.Endoscopic mucosal resection(EMR...BACKGROUND Colorectal polyps are precancerous diseases of colorectal cancer.Early detection and resection of colorectal polyps can effectively reduce the mortality of colorectal cancer.Endoscopic mucosal resection(EMR)is a common polypectomy proce-dure in clinical practice,but it has a high postoperative recurrence rate.Currently,there is no predictive model for the recurrence of colorectal polyps after EMR.AIM To construct and validate a machine learning(ML)model for predicting the risk of colorectal polyp recurrence one year after EMR.METHODS This study retrospectively collected data from 1694 patients at three medical centers in Xuzhou.Additionally,a total of 166 patients were collected to form a prospective validation set.Feature variable screening was conducted using uni-variate and multivariate logistic regression analyses,and five ML algorithms were used to construct the predictive models.The optimal models were evaluated based on different performance metrics.Decision curve analysis(DCA)and SHapley Additive exPlanation(SHAP)analysis were performed to assess clinical applicability and predictor importance.RESULTS Multivariate logistic regression analysis identified 8 independent risk factors for colorectal polyp recurrence one year after EMR(P<0.05).Among the models,eXtreme Gradient Boosting(XGBoost)demonstrated the highest area under the curve(AUC)in the training set,internal validation set,and prospective validation set,with AUCs of 0.909(95%CI:0.89-0.92),0.921(95%CI:0.90-0.94),and 0.963(95%CI:0.94-0.99),respectively.DCA indicated favorable clinical utility for the XGBoost model.SHAP analysis identified smoking history,family history,and age as the top three most important predictors in the model.CONCLUSION The XGBoost model has the best predictive performance and can assist clinicians in providing individualized colonoscopy follow-up recommendations.展开更多
AIM:To assess the possibility of using different large language models(LLMs)in ocular surface diseases by selecting five different LLMS to test their accuracy in answering specialized questions related to ocular surfa...AIM:To assess the possibility of using different large language models(LLMs)in ocular surface diseases by selecting five different LLMS to test their accuracy in answering specialized questions related to ocular surface diseases:ChatGPT-4,ChatGPT-3.5,Claude 2,PaLM2,and SenseNova.METHODS:A group of experienced ophthalmology professors were asked to develop a 100-question singlechoice question on ocular surface diseases designed to assess the performance of LLMs and human participants in answering ophthalmology specialty exam questions.The exam includes questions on the following topics:keratitis disease(20 questions),keratoconus,keratomalaciac,corneal dystrophy,corneal degeneration,erosive corneal ulcers,and corneal lesions associated with systemic diseases(20 questions),conjunctivitis disease(20 questions),trachoma,pterygoid and conjunctival tumor diseases(20 questions),and dry eye disease(20 questions).Then the total score of each LLMs and compared their mean score,mean correlation,variance,and confidence were calculated.RESULTS:GPT-4 exhibited the highest performance in terms of LLMs.Comparing the average scores of the LLMs group with the four human groups,chief physician,attending physician,regular trainee,and graduate student,it was found that except for ChatGPT-4,the total score of the rest of the LLMs is lower than that of the graduate student group,which had the lowest score in the human group.Both ChatGPT-4 and PaLM2 were more likely to give exact and correct answers,giving very little chance of an incorrect answer.ChatGPT-4 showed higher credibility when answering questions,with a success rate of 59%,but gave the wrong answer to the question 28% of the time.CONCLUSION:GPT-4 model exhibits excellent performance in both answer relevance and confidence.PaLM2 shows a positive correlation(up to 0.8)in terms of answer accuracy during the exam.In terms of answer confidence,PaLM2 is second only to GPT4 and surpasses Claude 2,SenseNova,and GPT-3.5.Despite the fact that ocular surface disease is a highly specialized discipline,GPT-4 still exhibits superior performance,suggesting that its potential and ability to be applied in this field is enormous,perhaps with the potential to be a valuable resource for medical students and clinicians in the future.展开更多
AIM:To elucidate the neuropathological mechanisms underlying diabetic vitreous hemorrhage(DVH)and its correlation with clinical characteristics.METHODS:Twenty-one individuals with DVH(male/female 12/9;mean age 52.29&#...AIM:To elucidate the neuropathological mechanisms underlying diabetic vitreous hemorrhage(DVH)and its correlation with clinical characteristics.METHODS:Twenty-one individuals with DVH(male/female 12/9;mean age 52.29±11.66y)were selected,alongside 21 appropriately matched controls with diabetes mellitus(DM).Voxel-based morphometry(VBM)techniques were employed to identify aberrant functional regions in the brain.Receiver operating characteristic(ROC)curves were utilized for classification based on the average VBM values of the two groups,and Pearson correlation analysis was conducted to assess the relationship between average VBM values in distinct brain regions and clinical manifestations.RESULTS:Relative to the DM controls,DVH patients exhibited reduced VBM values in the right superior temporal pole,the right superior temporal gyrus,the right medial orbital frontal gyrus,and the left superior frontal gyrus.Furthermore,ROC curve analysis of these four brain regions in DVH patients demonstrated a high degree of accuracy,as indicated by the area under the curve.The average VBM value in each of these regions exhibited a negative correlation with both the duration of DVH and the score on the Hospital Anxiety and Depression Scale(HADS).CONCLUSION:Pathological alterations in four distinct brain regions are observed in patients with DVH,potentially reflecting neuropathological changes associated with this condition.展开更多
The role of gut microbiota in terms of host health is becoming increasingly important.In this study,the comparative effects of tea polyphenols(TPs)on weight loss and lipid metabolism on conventionalized mice(CVZ)and p...The role of gut microbiota in terms of host health is becoming increasingly important.In this study,the comparative effects of tea polyphenols(TPs)on weight loss and lipid metabolism on conventionalized mice(CVZ)and pseudo germ-free(PGF)mice(treated with antibiotics)were investigated.Our findings revealed that high fat(HF)diet considerably increased the body weight,total fat and upsurge lipid indices in CVZ mice but PGF mice were not sensitive to the effect of HF diet as CVZ mice.After the dietary administration of TP,body weight,perirenal fat and epididymal fat,liver weight,glucose(GLU)level,total chloestrol(TC level),high density lipoprotein-cholesterol(HDL-C)level significantly lowered in PGF mice as compared to CVZ mice group.However,the area of fat cells and triglyceride(TG)level were significantly increased in PGF mice.In CVZ mice,TP intervention resulted in a considerable drop in the Firmicutes/Bacteroides ratio as compared to PGF mice.The intestinal flora of PGF mice was severely reduced after antibiotic treatment,while TP administration restored intestinal diversity;the abundance of Akkermansia and Lactobacillus increased,whereas the abundance of Enterobacteriaceae and Prevotella reduced.Overall,we can assume that PGF obese mice administered with TP have less anti-obesity effects compared to obese CVZ mice.展开更多
基金Supported by National Natural Science Foundation of China(No.82160195,No.82460203).
文摘AIM:To analyze whether alterations of voxel mirror homology connectivity(VMHC)values,as determined by resting-state functional magnetic resonance imaging(rsfMRI),occur in cerebral regions of patients with hypertensive retinopathy(HR)and to determine the relationship between VMHC values and clinical characteristics in patients with HR.METHODS:Twenty-one patients with HR and 21 agematched healthy controls(HCs)were assessed by rsfMRI scanning.The functional connectivity between the hemispheres of the cerebrum was assessed by measuring VMHC,with the ability of VMHC to distinguish between the HR and HC groups assessed using receiver operating characteristic(ROC)curve analysis.Differences in the demographic and clinical characteristics of the HR and HC groups were analyzed by independent sample t-tests.The relationship between average VMHC in several brain areas of HR patients and clinical features was determined using Pearson correlation analysis.RESULTS:Mean VMHC values of the bilateral cuneus gyrus(BA19),bilateral middle orbitofrontal gyrus(BA47),bilateral middle temporal gyrus(BA39)and bilateral superior medial frontal gyrus(BA9)were lower in the HR than in the HC group.CONCLUSION:VMHC values can predict the development of early HR,prevent the transformation of hypertensive microangiopathy,and provide useful information explaining the changes in neural mechanism associated with HR.
文摘BACKGROUND Colorectal polyps are precancerous diseases of colorectal cancer.Early detection and resection of colorectal polyps can effectively reduce the mortality of colorectal cancer.Endoscopic mucosal resection(EMR)is a common polypectomy proce-dure in clinical practice,but it has a high postoperative recurrence rate.Currently,there is no predictive model for the recurrence of colorectal polyps after EMR.AIM To construct and validate a machine learning(ML)model for predicting the risk of colorectal polyp recurrence one year after EMR.METHODS This study retrospectively collected data from 1694 patients at three medical centers in Xuzhou.Additionally,a total of 166 patients were collected to form a prospective validation set.Feature variable screening was conducted using uni-variate and multivariate logistic regression analyses,and five ML algorithms were used to construct the predictive models.The optimal models were evaluated based on different performance metrics.Decision curve analysis(DCA)and SHapley Additive exPlanation(SHAP)analysis were performed to assess clinical applicability and predictor importance.RESULTS Multivariate logistic regression analysis identified 8 independent risk factors for colorectal polyp recurrence one year after EMR(P<0.05).Among the models,eXtreme Gradient Boosting(XGBoost)demonstrated the highest area under the curve(AUC)in the training set,internal validation set,and prospective validation set,with AUCs of 0.909(95%CI:0.89-0.92),0.921(95%CI:0.90-0.94),and 0.963(95%CI:0.94-0.99),respectively.DCA indicated favorable clinical utility for the XGBoost model.SHAP analysis identified smoking history,family history,and age as the top three most important predictors in the model.CONCLUSION The XGBoost model has the best predictive performance and can assist clinicians in providing individualized colonoscopy follow-up recommendations.
基金Supported by National Natural Science Foundation of China(No.82160195,No.82460203)Degree and Postgraduate Education Teaching Reform Project of Jiangxi Province(No.JXYJG-2020-026).
文摘AIM:To assess the possibility of using different large language models(LLMs)in ocular surface diseases by selecting five different LLMS to test their accuracy in answering specialized questions related to ocular surface diseases:ChatGPT-4,ChatGPT-3.5,Claude 2,PaLM2,and SenseNova.METHODS:A group of experienced ophthalmology professors were asked to develop a 100-question singlechoice question on ocular surface diseases designed to assess the performance of LLMs and human participants in answering ophthalmology specialty exam questions.The exam includes questions on the following topics:keratitis disease(20 questions),keratoconus,keratomalaciac,corneal dystrophy,corneal degeneration,erosive corneal ulcers,and corneal lesions associated with systemic diseases(20 questions),conjunctivitis disease(20 questions),trachoma,pterygoid and conjunctival tumor diseases(20 questions),and dry eye disease(20 questions).Then the total score of each LLMs and compared their mean score,mean correlation,variance,and confidence were calculated.RESULTS:GPT-4 exhibited the highest performance in terms of LLMs.Comparing the average scores of the LLMs group with the four human groups,chief physician,attending physician,regular trainee,and graduate student,it was found that except for ChatGPT-4,the total score of the rest of the LLMs is lower than that of the graduate student group,which had the lowest score in the human group.Both ChatGPT-4 and PaLM2 were more likely to give exact and correct answers,giving very little chance of an incorrect answer.ChatGPT-4 showed higher credibility when answering questions,with a success rate of 59%,but gave the wrong answer to the question 28% of the time.CONCLUSION:GPT-4 model exhibits excellent performance in both answer relevance and confidence.PaLM2 shows a positive correlation(up to 0.8)in terms of answer accuracy during the exam.In terms of answer confidence,PaLM2 is second only to GPT4 and surpasses Claude 2,SenseNova,and GPT-3.5.Despite the fact that ocular surface disease is a highly specialized discipline,GPT-4 still exhibits superior performance,suggesting that its potential and ability to be applied in this field is enormous,perhaps with the potential to be a valuable resource for medical students and clinicians in the future.
基金Supported by National Natural Science Foundation of China(No.82160195,No.82460203)Science and Technology Project of Jiangxi Provincial Department of Education(No.GJJ200169)+1 种基金Science and Technology Project of Jiangxi Province Health Commission of Traditional Chinese Medicine(No.2020A0087)Science and Technology Project of Jiangxi Health Commission(No.202130210).
文摘AIM:To elucidate the neuropathological mechanisms underlying diabetic vitreous hemorrhage(DVH)and its correlation with clinical characteristics.METHODS:Twenty-one individuals with DVH(male/female 12/9;mean age 52.29±11.66y)were selected,alongside 21 appropriately matched controls with diabetes mellitus(DM).Voxel-based morphometry(VBM)techniques were employed to identify aberrant functional regions in the brain.Receiver operating characteristic(ROC)curves were utilized for classification based on the average VBM values of the two groups,and Pearson correlation analysis was conducted to assess the relationship between average VBM values in distinct brain regions and clinical manifestations.RESULTS:Relative to the DM controls,DVH patients exhibited reduced VBM values in the right superior temporal pole,the right superior temporal gyrus,the right medial orbital frontal gyrus,and the left superior frontal gyrus.Furthermore,ROC curve analysis of these four brain regions in DVH patients demonstrated a high degree of accuracy,as indicated by the area under the curve.The average VBM value in each of these regions exhibited a negative correlation with both the duration of DVH and the score on the Hospital Anxiety and Depression Scale(HADS).CONCLUSION:Pathological alterations in four distinct brain regions are observed in patients with DVH,potentially reflecting neuropathological changes associated with this condition.
基金financially support by the Key-Area Research and Development Program of Guangdong Province(2020B020226008,2018b020206001)the National Science Foundation of China(NSFC31171673)。
文摘The role of gut microbiota in terms of host health is becoming increasingly important.In this study,the comparative effects of tea polyphenols(TPs)on weight loss and lipid metabolism on conventionalized mice(CVZ)and pseudo germ-free(PGF)mice(treated with antibiotics)were investigated.Our findings revealed that high fat(HF)diet considerably increased the body weight,total fat and upsurge lipid indices in CVZ mice but PGF mice were not sensitive to the effect of HF diet as CVZ mice.After the dietary administration of TP,body weight,perirenal fat and epididymal fat,liver weight,glucose(GLU)level,total chloestrol(TC level),high density lipoprotein-cholesterol(HDL-C)level significantly lowered in PGF mice as compared to CVZ mice group.However,the area of fat cells and triglyceride(TG)level were significantly increased in PGF mice.In CVZ mice,TP intervention resulted in a considerable drop in the Firmicutes/Bacteroides ratio as compared to PGF mice.The intestinal flora of PGF mice was severely reduced after antibiotic treatment,while TP administration restored intestinal diversity;the abundance of Akkermansia and Lactobacillus increased,whereas the abundance of Enterobacteriaceae and Prevotella reduced.Overall,we can assume that PGF obese mice administered with TP have less anti-obesity effects compared to obese CVZ mice.
