Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of s...Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.展开更多
Stroke is one of the leading causes of death and disability worldwide.However,information on stroke-related tongue coating microbiome(TCM)is limited,and whether TCM modulation could benefit for stroke prevention and r...Stroke is one of the leading causes of death and disability worldwide.However,information on stroke-related tongue coating microbiome(TCM)is limited,and whether TCM modulation could benefit for stroke prevention and rehabilitation is unknown.Here,TCM from stroke patients(SP)was characterized using molecular techniques.The occurrence of stroke resulted in TCM dysbiosis with significantly reduced species richness and diversity.The abundance of Prevotella,Leptotrichia,Actinomyces,Alloprevotella,Haemophilus,and TM7_[G-1]were greatly reduced,but common infection Streptococcus and Pseudomonas were remarkably increased.Furthermore,an antioxidative probiotic Lactiplantibacillus plantarum AR113 was used for TCM intervention in stroke rats with cerebral ischemia/reperfusion(I/R).AR113 partly restored I/R induced change of TCM and gut microbiota with significantly improved neurological deficit,relieved histopathologic change,increased activities of antioxidant enzymes,and decreased contents of oxidative stress biomarkers.Moreover,the gene expression of antioxidant-related proteins and apoptosis-related factors heme oxygenase-1(HO-1),superoxide dismutase(SOD),glutathione peroxidase(GSH-Px),nuclear factor erythroid 2-related factor 2(Nrf2),NAD(P)H:quinone oxidoreductase-1(NQO-1),and Bcl-2 was significantly increased,but cytochrome C,cleaved caspase-3,and Bax were markedly decreased in the brain by AR113 treatment.The results suggested that AR113 could ameliorate cerebral I/R injury through antioxidation and anti-apoptosis pathways,and AR113 intervention of TCM may have the application potential for stroke prevention and control.展开更多
International Organization for Standardization(ISO)officially released ISO/TR 20498-5 Traditional Chinese medicine-Computerized tongue image analysis system--Part 5:Method of acquisition and expression of tongue colou...International Organization for Standardization(ISO)officially released ISO/TR 20498-5 Traditional Chinese medicine-Computerized tongue image analysis system--Part 5:Method of acquisition and expression of tongue colour and tongue coating colour on January 11,2019.ISO/TR 20498-5 was formulated by the team of Professor Wang Yiqin,from School of Basic Medicine of Shanghai University of TCM and Shanghai Key Laboratory of Health Identification and Evaluation,and jointly completed by East China University of Science and Technology and Suzhou Jingyu Medical Instrument Co.,LTD.展开更多
<b>Aims:</b> To explore the tongue coating microbiota composition in patients with atrophic gastritis by using the 16S rRNA gene sequencing technology. <b>Methods:</b> The study included 29 atr...<b>Aims:</b> To explore the tongue coating microbiota composition in patients with atrophic gastritis by using the 16S rRNA gene sequencing technology. <b>Methods:</b> The study included 29 atrophic gastritis patients and 29 age and gender-matched non-atrophic gastritis controls. By sequencing the V3-V4 region of the 16S rRNA, we investigated the microbial community structure and diversity on the tongue coating. <b>Results:</b> There was no significant difference in the microbial diversity on the tongue coating between the two groups. However, compared with the control, the atrophic gastritis group had a smaller number of operational taxonomic units (OTUs). At the class level, patients with atrophic gastritis had lower relative abundances of <i>Betaproteobacteria</i> and <i>Spirochaetia</i> than the control group. At the gene level, the abundance of <i>Neisseria</i> and <i>Aggregatibacter</i> in atrophic gastritis group had significantly decreased compared with control ones. Furthermore, functional prediction revealed that 24 metabolic pathways significantly differed between the two groups. <b>Conclusions:</b> Our findings provide novel evidence that tongue coating microbiota may be a biomarker for characterizing patient with atrophic gastritis, but its mechanism needs to be further elaborated.展开更多
A NiCrAlY coating was deposited on the TC6 titanium substrate by arc ion plating (ALP). The structure and morphologies of the NiCrAlY coating were characterized by X-ray diffraction (XRD) and scanning electron mic...A NiCrAlY coating was deposited on the TC6 titanium substrate by arc ion plating (ALP). The structure and morphologies of the NiCrAlY coating were characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM), and the influence of vacuum heat treatment on the element diffusion behavior was studied. The results showed that the y'-Ni3Al phase was precipitated on the NiCrAlY coating after heat treatment. The Ni3(AI,Ti), TiNi, and Ti2Ni intermetallic layers appeared at the interface from the outside to the inside at 700℃, and the thickness of the intermetallic layers increased with the increase in temperature. At 700℃ Ti and Ni were the major diffusion elements, and the diffusion of Cr was observed when the heat treatment temperature increased up to 870℃. The violent inward diffusion of Ni at 950℃ resulted in the degradation of the NiCrAlY coating.展开更多
Observation of tongue coating is the characteristic content of traditional Chinese medicine syndrome differentiation and treatment. The microflora is the important component of tongue coating besides the desquamated e...Observation of tongue coating is the characteristic content of traditional Chinese medicine syndrome differentiation and treatment. The microflora is the important component of tongue coating besides the desquamated epithelial cells. Tongue coating microflora might be an important linkage between the modern medical research and the classic traditional Chinese medicine theory. Therefore, the present paper summarised the application value of tongue coating microflora in health and disease to enrich the scienti fic connotation of traditional Chinese medicine tongue diagnosis and promote the development of integration of traditional Chinese medicine and modern medicine.展开更多
Background:According to World Health Organization,colorectal cancer is the third most common cancer in the world.The prognosis assessment and condition judgment of the colorectal cancer remains a challenge clinically....Background:According to World Health Organization,colorectal cancer is the third most common cancer in the world.The prognosis assessment and condition judgment of the colorectal cancer remains a challenge clinically.Therefore,identification of diagnostic markers to evaluate the prognosis of colorectal cancer clinically should be urgently developed.We have observed that a lot of cancer patients had thick tongue clinically,but what is the relationship between tongue coating and the tumor?Methods:Seventy-four patients with colorectal carcinoma were collected through the outpatients of Tianjin Medical University Cancer Institute and Hospital from May 2010 to September 2011,in which there were 49 patients confirmed with recurrence or metastasis.All photos of patients’tongue were taken with a SONY camera in the same room and under constant conditions such as brightness or distance.Regression equation predicting thickness of tongue coating was constructed using binary logistic regression analysis.The optimal cut off of probabilities to diagnosis thick tongue coating was determined by receiver operating curve analysis.χ2 test for paired data and kappa test were used to determine the diagnostic value for recurrence and/or metastasis in colorectal cancer patients.Kolmogorov-Smirnov test was used to determine the distribution of ALT,AST,ALP ALB,TP,GLO,TBIL,DBIL,GGT,LDH,GLU,UA,CA724,CA199,CA242 and CEA.Data with the skewed distribution were presented as median(quartile interval).The association between the thickness of tongue coating and clinical-pathological character was evaluated by chi square test and two-independent-sample test.The two-independent-samplesχ2 was used to determine whether there were significant differences in the thin coating and thick coating between patients with recurrence and/or metastasis and patients without recurrence and/or metastasis.Kaplan-Meier method was used to analyze survival time.Statistical analysis was performed by SPSS(version 16.0).Results:Through retrospective clinical study we found that overall survival of colorectal cancer patients with thick greasy tongue coating is less than the patients with less tongue coating.What’s more,the risk for recurrence or/and metastasis overall survival in thick coating group was higher than thin coating group.In addition,the histological staining of the tongue slices of rats showed that EGFR receptors in the tongue root were the most among whole tongue surface.Tongue thick coating may be due to tumor patients with high levels of serum EGF which results in significantly increasing tongue coating.This finding suggested that the tongue coating of cancer patients may reflect the level of serum EGF levels in patients which may be related to shorter survival time.In addition,another study showed that serum lactic dehydrogenase level in patients with thick tongue coating is higher than patients with thin tongue coating.Conclusions:These studies suggest that tongue coating is likely to reflect some of the growth factor and enzyme levels.By observing the tongue coating we could predict the prognosis of patients and the characteristics of tongue coating may be used as new diagnostic markers to patients with colorectal carcinoma.展开更多
中医(traditional Chinese medicine, TCM)舌诊客观化研究中需要分析的舌象特征很多,不同的舌象特征往往采用单独的方法进行分析,导致分析系统的整体实现复杂度大幅增加。为此,基于持续学习的思想,提出一种中医舌色苔色协同分类方法,该...中医(traditional Chinese medicine, TCM)舌诊客观化研究中需要分析的舌象特征很多,不同的舌象特征往往采用单独的方法进行分析,导致分析系统的整体实现复杂度大幅增加。为此,基于持续学习的思想,提出一种中医舌色苔色协同分类方法,该方法将舌色分类作为旧任务,将苔色分类作为新任务,充分利用2个任务的相似性和相关性,仅通过一个网络结构就同时实现舌色和苔色的准确分类。首先,设计一种基于全局-局部混合注意力机制(global local hybrid attention, GLHA)的双分支网络结构,将网络高层语义特征与低层特征相融合,提升特征的表达能力;然后,提出基于正则化和回放相结合的持续学习策略,使得该网络在学习新任务知识的同时有效防止对旧任务知识的遗忘。在2个自建的中医舌象特征分析数据集上的实验结果表明,提出的协同分类方法可以获得与单个任务相当的分类性能,同时可以将2个分类任务的整体复杂度降低一半左右。其中,舌色分类准确率分别达到93.92%和92.97%,精确率分别达到93.69%和92.87%,召回率分别达到93.96%和93.16%;苔色分类准确率分别达到90.17%和90.26%,精确率分别达到90.05%和90.17%,召回率分别达到90.24%和90.29%。展开更多
基金National Natural Science Foundation of China(82274411)Science and Technology Innovation Program of Hunan Province(2022RC1021)Leading Research Project of Hunan University of Chinese Medicine(2022XJJB002).
文摘Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.
基金supported by National Science Fund for Distinguished Young Scholars(grant No.32025029)Shanghai Education Committee Scientific Research Innovation Project(grant No.2101070007800120)+1 种基金Clinical research project in health industry of Shanghai Municipal Health Commission(202240379)the Development Fund for Shanghai Talents(grant No.2021077).
文摘Stroke is one of the leading causes of death and disability worldwide.However,information on stroke-related tongue coating microbiome(TCM)is limited,and whether TCM modulation could benefit for stroke prevention and rehabilitation is unknown.Here,TCM from stroke patients(SP)was characterized using molecular techniques.The occurrence of stroke resulted in TCM dysbiosis with significantly reduced species richness and diversity.The abundance of Prevotella,Leptotrichia,Actinomyces,Alloprevotella,Haemophilus,and TM7_[G-1]were greatly reduced,but common infection Streptococcus and Pseudomonas were remarkably increased.Furthermore,an antioxidative probiotic Lactiplantibacillus plantarum AR113 was used for TCM intervention in stroke rats with cerebral ischemia/reperfusion(I/R).AR113 partly restored I/R induced change of TCM and gut microbiota with significantly improved neurological deficit,relieved histopathologic change,increased activities of antioxidant enzymes,and decreased contents of oxidative stress biomarkers.Moreover,the gene expression of antioxidant-related proteins and apoptosis-related factors heme oxygenase-1(HO-1),superoxide dismutase(SOD),glutathione peroxidase(GSH-Px),nuclear factor erythroid 2-related factor 2(Nrf2),NAD(P)H:quinone oxidoreductase-1(NQO-1),and Bcl-2 was significantly increased,but cytochrome C,cleaved caspase-3,and Bax were markedly decreased in the brain by AR113 treatment.The results suggested that AR113 could ameliorate cerebral I/R injury through antioxidation and anti-apoptosis pathways,and AR113 intervention of TCM may have the application potential for stroke prevention and control.
文摘International Organization for Standardization(ISO)officially released ISO/TR 20498-5 Traditional Chinese medicine-Computerized tongue image analysis system--Part 5:Method of acquisition and expression of tongue colour and tongue coating colour on January 11,2019.ISO/TR 20498-5 was formulated by the team of Professor Wang Yiqin,from School of Basic Medicine of Shanghai University of TCM and Shanghai Key Laboratory of Health Identification and Evaluation,and jointly completed by East China University of Science and Technology and Suzhou Jingyu Medical Instrument Co.,LTD.
文摘<b>Aims:</b> To explore the tongue coating microbiota composition in patients with atrophic gastritis by using the 16S rRNA gene sequencing technology. <b>Methods:</b> The study included 29 atrophic gastritis patients and 29 age and gender-matched non-atrophic gastritis controls. By sequencing the V3-V4 region of the 16S rRNA, we investigated the microbial community structure and diversity on the tongue coating. <b>Results:</b> There was no significant difference in the microbial diversity on the tongue coating between the two groups. However, compared with the control, the atrophic gastritis group had a smaller number of operational taxonomic units (OTUs). At the class level, patients with atrophic gastritis had lower relative abundances of <i>Betaproteobacteria</i> and <i>Spirochaetia</i> than the control group. At the gene level, the abundance of <i>Neisseria</i> and <i>Aggregatibacter</i> in atrophic gastritis group had significantly decreased compared with control ones. Furthermore, functional prediction revealed that 24 metabolic pathways significantly differed between the two groups. <b>Conclusions:</b> Our findings provide novel evidence that tongue coating microbiota may be a biomarker for characterizing patient with atrophic gastritis, but its mechanism needs to be further elaborated.
基金This study was supported by the National Key Program of the Tenth Five-Year Plan of China (05-MKP-089).
文摘A NiCrAlY coating was deposited on the TC6 titanium substrate by arc ion plating (ALP). The structure and morphologies of the NiCrAlY coating were characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM), and the influence of vacuum heat treatment on the element diffusion behavior was studied. The results showed that the y'-Ni3Al phase was precipitated on the NiCrAlY coating after heat treatment. The Ni3(AI,Ti), TiNi, and Ti2Ni intermetallic layers appeared at the interface from the outside to the inside at 700℃, and the thickness of the intermetallic layers increased with the increase in temperature. At 700℃ Ti and Ni were the major diffusion elements, and the diffusion of Cr was observed when the heat treatment temperature increased up to 870℃. The violent inward diffusion of Ni at 950℃ resulted in the degradation of the NiCrAlY coating.
基金National Natural Science Foundation (81473593, 81473458).
文摘Observation of tongue coating is the characteristic content of traditional Chinese medicine syndrome differentiation and treatment. The microflora is the important component of tongue coating besides the desquamated epithelial cells. Tongue coating microflora might be an important linkage between the modern medical research and the classic traditional Chinese medicine theory. Therefore, the present paper summarised the application value of tongue coating microflora in health and disease to enrich the scienti fic connotation of traditional Chinese medicine tongue diagnosis and promote the development of integration of traditional Chinese medicine and modern medicine.
文摘Background:According to World Health Organization,colorectal cancer is the third most common cancer in the world.The prognosis assessment and condition judgment of the colorectal cancer remains a challenge clinically.Therefore,identification of diagnostic markers to evaluate the prognosis of colorectal cancer clinically should be urgently developed.We have observed that a lot of cancer patients had thick tongue clinically,but what is the relationship between tongue coating and the tumor?Methods:Seventy-four patients with colorectal carcinoma were collected through the outpatients of Tianjin Medical University Cancer Institute and Hospital from May 2010 to September 2011,in which there were 49 patients confirmed with recurrence or metastasis.All photos of patients’tongue were taken with a SONY camera in the same room and under constant conditions such as brightness or distance.Regression equation predicting thickness of tongue coating was constructed using binary logistic regression analysis.The optimal cut off of probabilities to diagnosis thick tongue coating was determined by receiver operating curve analysis.χ2 test for paired data and kappa test were used to determine the diagnostic value for recurrence and/or metastasis in colorectal cancer patients.Kolmogorov-Smirnov test was used to determine the distribution of ALT,AST,ALP ALB,TP,GLO,TBIL,DBIL,GGT,LDH,GLU,UA,CA724,CA199,CA242 and CEA.Data with the skewed distribution were presented as median(quartile interval).The association between the thickness of tongue coating and clinical-pathological character was evaluated by chi square test and two-independent-sample test.The two-independent-samplesχ2 was used to determine whether there were significant differences in the thin coating and thick coating between patients with recurrence and/or metastasis and patients without recurrence and/or metastasis.Kaplan-Meier method was used to analyze survival time.Statistical analysis was performed by SPSS(version 16.0).Results:Through retrospective clinical study we found that overall survival of colorectal cancer patients with thick greasy tongue coating is less than the patients with less tongue coating.What’s more,the risk for recurrence or/and metastasis overall survival in thick coating group was higher than thin coating group.In addition,the histological staining of the tongue slices of rats showed that EGFR receptors in the tongue root were the most among whole tongue surface.Tongue thick coating may be due to tumor patients with high levels of serum EGF which results in significantly increasing tongue coating.This finding suggested that the tongue coating of cancer patients may reflect the level of serum EGF levels in patients which may be related to shorter survival time.In addition,another study showed that serum lactic dehydrogenase level in patients with thick tongue coating is higher than patients with thin tongue coating.Conclusions:These studies suggest that tongue coating is likely to reflect some of the growth factor and enzyme levels.By observing the tongue coating we could predict the prognosis of patients and the characteristics of tongue coating may be used as new diagnostic markers to patients with colorectal carcinoma.
文摘中医(traditional Chinese medicine, TCM)舌诊客观化研究中需要分析的舌象特征很多,不同的舌象特征往往采用单独的方法进行分析,导致分析系统的整体实现复杂度大幅增加。为此,基于持续学习的思想,提出一种中医舌色苔色协同分类方法,该方法将舌色分类作为旧任务,将苔色分类作为新任务,充分利用2个任务的相似性和相关性,仅通过一个网络结构就同时实现舌色和苔色的准确分类。首先,设计一种基于全局-局部混合注意力机制(global local hybrid attention, GLHA)的双分支网络结构,将网络高层语义特征与低层特征相融合,提升特征的表达能力;然后,提出基于正则化和回放相结合的持续学习策略,使得该网络在学习新任务知识的同时有效防止对旧任务知识的遗忘。在2个自建的中医舌象特征分析数据集上的实验结果表明,提出的协同分类方法可以获得与单个任务相当的分类性能,同时可以将2个分类任务的整体复杂度降低一半左右。其中,舌色分类准确率分别达到93.92%和92.97%,精确率分别达到93.69%和92.87%,召回率分别达到93.96%和93.16%;苔色分类准确率分别达到90.17%和90.26%,精确率分别达到90.05%和90.17%,召回率分别达到90.24%和90.29%。