Background:Traditional Chinese medicine(TCM)is commonly used for the diagnosis and treatment of insomnia,with tongue diagnosis being particularly important.The aim of our study was to develop and validate a novel tong...Background:Traditional Chinese medicine(TCM)is commonly used for the diagnosis and treatment of insomnia,with tongue diagnosis being particularly important.The aim of our study was to develop and validate a novel tongue imaging-based radiomics(TIR)method for accurately diagnosing insomnia severity.Methods:This two-center analysis prospectively enrolled 399 patients who underwent tongue imaging between July and October 2021 and divided them into primary and validation cohorts by study center.Here,we referred to the Insomnia Severity Index(ISI)standard and the degree of insomnia was evaluated as absent,subthreshold,moderate,or severe.For developed the TIR diagnostic tool,a U-Net algorithm was used to segment tongue images.Subsequently,seven imaging features were selected from the extracted high-throughout radiomics features using the least absolute shrinkage and selection operator algorithm.Then,the final radiomics model was developed in the primary cohort and tested in the independent validation cohort.Finally,we assessed and compared the diagnostic performance differences between TCM tongue diagnosis and our TIR diagnostic tool with the ISI gold standard.The confusion matrix was calculated to evaluate the diagnostic performance.Results:Seven tongue imaging features were selected to build the TIR tool,with showing good correlations with the insomnia degree.The TIR method had an accuracy of 0.798,a macro-average sensitivity of 0.78,a macro-average specificity of 0.906,a weighted-average sensitivity of 0.798,and a weighted specificity of 0.916,showing a significantly better performance compared to the average performance of three experienced TCM physicians(mean accuracy of 0.458,P<0.01).Conclusions:The preliminary study demonstrates the potential application of TIR in the diagnosis of insomnia degree and measurement of sleep health.The integration of quantitative imaging analysis and machine learning algorithms holds promise for advancing both of TCM and precision sleep medicine.展开更多
This paper reviews the progress in treatment regimens involving traditional Chinese medicine and research on common clinical endocrine diseases in 2021,to provide a reliable basis for the traditional Chinese medicine ...This paper reviews the progress in treatment regimens involving traditional Chinese medicine and research on common clinical endocrine diseases in 2021,to provide a reliable basis for the traditional Chinese medicine treatment of endocrine diseases.In 2021-2022,research on traditional Chinese medicine for endocrine diseases has been focused on pathogenesis.We have summarized the results of the use of traditional Chinese medicine and herbal extracts for treating common endocrine system diseases in 2021,focusing on the following aspects.(1)Chinese herbal extracts or active ingredients,such as echinatin,breviscapine,and puerarin,can treat metabolic-associated fatty liver disease by inhibiting inflammation and oxidative stress,improving lipid metabolism,and regulating intestinal flora.(2)Chinese herbal extracts or active ingredients,such as Juglandis Semen extracts,Momordica charantia saponins,and Anemarrhenae Rhizoma extracts can treat type 2 diabetes by reducing insulin resistance,improving pancreatic beta cell function,and regulating intestinal microbial disorders.(3)Chinese herbal extracts or active ingredients,such as berberine,astragaloside IV,and Scutellariae Barbatae Herba polysaccharides,can treat diabetes-related complications by improving mitochondrial function,regulating autophagy,and inhibiting apoptosis and pyroptosis.(4)Chinese herbal medicines and herbal extracts or active ingredients,such as berberrubine and Resedaodorata,can treat hyperuricemia by activating the Janus kinase 2/signal transducers and activators of transcription 3 signaling pathway and inhibiting toll-like receptor 4/NOD-like receptor family,pyrin domain-containing protein 3 signaling to increase urate excretion.(5)Herbal extracts or active ingredients,such as ginsenoside Rb1,corylin,and Scutellariae Radix polysaccharides,can exert anti-obesity effects by promoting the browning of white adipocytes,activation of brown adipose tissue,and regulation of intestinal flora.(6)Chinese herbal extracts or active ingredients,such as diosgenin and Prunellae Spica extract,are able to treat thyroid-related diseases by inhibiting nucleotide-binding oligomerization domain-like receptor protein 3 inflammatory vesicle activation,regulating the expression of proliferating cell nuclear antigen,and cadherin 1,and upregulating the ubiquitination of interferon regulatory factor 4.展开更多
基金supported by the Shandong Province Traditional Chinese Medicine Science and Technology Project (M-2022012)。
文摘Background:Traditional Chinese medicine(TCM)is commonly used for the diagnosis and treatment of insomnia,with tongue diagnosis being particularly important.The aim of our study was to develop and validate a novel tongue imaging-based radiomics(TIR)method for accurately diagnosing insomnia severity.Methods:This two-center analysis prospectively enrolled 399 patients who underwent tongue imaging between July and October 2021 and divided them into primary and validation cohorts by study center.Here,we referred to the Insomnia Severity Index(ISI)standard and the degree of insomnia was evaluated as absent,subthreshold,moderate,or severe.For developed the TIR diagnostic tool,a U-Net algorithm was used to segment tongue images.Subsequently,seven imaging features were selected from the extracted high-throughout radiomics features using the least absolute shrinkage and selection operator algorithm.Then,the final radiomics model was developed in the primary cohort and tested in the independent validation cohort.Finally,we assessed and compared the diagnostic performance differences between TCM tongue diagnosis and our TIR diagnostic tool with the ISI gold standard.The confusion matrix was calculated to evaluate the diagnostic performance.Results:Seven tongue imaging features were selected to build the TIR tool,with showing good correlations with the insomnia degree.The TIR method had an accuracy of 0.798,a macro-average sensitivity of 0.78,a macro-average specificity of 0.906,a weighted-average sensitivity of 0.798,and a weighted specificity of 0.916,showing a significantly better performance compared to the average performance of three experienced TCM physicians(mean accuracy of 0.458,P<0.01).Conclusions:The preliminary study demonstrates the potential application of TIR in the diagnosis of insomnia degree and measurement of sleep health.The integration of quantitative imaging analysis and machine learning algorithms holds promise for advancing both of TCM and precision sleep medicine.
基金supported by the Bio-Pharmaceutical Major Science and Technology Special Project of Science and Technology Department of Yunnan Province(No.2019ZF005)the Project of Cangzhou Science and Technology Bureau(No.213106042).
文摘This paper reviews the progress in treatment regimens involving traditional Chinese medicine and research on common clinical endocrine diseases in 2021,to provide a reliable basis for the traditional Chinese medicine treatment of endocrine diseases.In 2021-2022,research on traditional Chinese medicine for endocrine diseases has been focused on pathogenesis.We have summarized the results of the use of traditional Chinese medicine and herbal extracts for treating common endocrine system diseases in 2021,focusing on the following aspects.(1)Chinese herbal extracts or active ingredients,such as echinatin,breviscapine,and puerarin,can treat metabolic-associated fatty liver disease by inhibiting inflammation and oxidative stress,improving lipid metabolism,and regulating intestinal flora.(2)Chinese herbal extracts or active ingredients,such as Juglandis Semen extracts,Momordica charantia saponins,and Anemarrhenae Rhizoma extracts can treat type 2 diabetes by reducing insulin resistance,improving pancreatic beta cell function,and regulating intestinal microbial disorders.(3)Chinese herbal extracts or active ingredients,such as berberine,astragaloside IV,and Scutellariae Barbatae Herba polysaccharides,can treat diabetes-related complications by improving mitochondrial function,regulating autophagy,and inhibiting apoptosis and pyroptosis.(4)Chinese herbal medicines and herbal extracts or active ingredients,such as berberrubine and Resedaodorata,can treat hyperuricemia by activating the Janus kinase 2/signal transducers and activators of transcription 3 signaling pathway and inhibiting toll-like receptor 4/NOD-like receptor family,pyrin domain-containing protein 3 signaling to increase urate excretion.(5)Herbal extracts or active ingredients,such as ginsenoside Rb1,corylin,and Scutellariae Radix polysaccharides,can exert anti-obesity effects by promoting the browning of white adipocytes,activation of brown adipose tissue,and regulation of intestinal flora.(6)Chinese herbal extracts or active ingredients,such as diosgenin and Prunellae Spica extract,are able to treat thyroid-related diseases by inhibiting nucleotide-binding oligomerization domain-like receptor protein 3 inflammatory vesicle activation,regulating the expression of proliferating cell nuclear antigen,and cadherin 1,and upregulating the ubiquitination of interferon regulatory factor 4.
