红外热成像中医可视化研究进展

红外热成像可以作为中医望诊的延伸,可以分辨阴阳、寒热、表里、虚实,通过脏腑、经络、三焦的热态分布变化辅助辨证,尤对寒热表现突出证候的疗效判定提供直观的数据支持。但亦有不足之处:在疾病诊断、体质辨识上缺少大样本数据支持;缺乏公认的正常人群热态图形表现;没有较好的自动化分析软件支持后续数据分析,使得后续研究工作较为繁琐。

多囊卵巢综合征患者红外热图与中医证型的关系研究

【目的】分析多囊卵巢综合征(PCOS)患者红外热图与中医证型的关系。【方法】选取2019年5月~2019年10月在广州中医药大学第一附属医院妇科门诊就诊,明确诊断为PCOS,并自愿到本院治未病科进行红外热成像检测的52例患者为研究对象。根据中医辨证分型将患者分为痰湿阻滞型、肝肾阴虚型、肝气郁结型、肾气虚弱型4型。用红外热像仪获取患者的红外热图,分析总结不同证型PCOS患者的红外热图特点。【结果】(1)中医证型分布:52例患者中,痰湿阻滞型10例,肝肾阴虚型11例,肝气郁结型21例,肾气虚弱型10例。(2)4种证型的躯干平均温度由高到低依次为肝气郁结型>肝肾阴虚型>痰湿阻滞型>肾气虚弱型,以肾气虚弱型温度最低,其温度明显低于肝肾阴虚型和肝气郁结型,差异有统计学意义(P<0.05)。(3)痰湿阻滞型患者中焦凉偏离最多,面部、手掌高热偏离,与躯体形成寒热对峙;肝肾阴虚型也是面部、手掌比躯干温度高,但温差不如痰湿阻滞型大;肝气郁结型多表现在上焦、中焦热偏离,面部与手掌温差大;肾气虚弱型患者表现为等温差热图。【结论】红外热成像技术能较为客观地反映不同证型PCOS患者的寒热虚实情况,并能精准定位,可为中医辨证提供客观化依据,并有助于促进中医诊疗的可视化、可量化和现代化。

Visual analysis of research hotspots and trends in the treatment of immune thrombocytopenia with traditional Chinese medicine

Objective Through bibliometrics and visual analysis of the related studies on traditional Chinese medicine(TCM)treatment of immune thrombocytopenia(ITP),this study aims to sort out the overall research progress,hotspots,and trends in this field,and provide reference for further research in ITP.Methods The articles on ITP treated by TCM were retrieved from China National Knowledge Infrastructure(CNKI),Wanfang Database,China Science and Technology Journal Database(VIP),Web of Science Core Collection(WOSCC),and PubMed.The retrieval time was from the establishment of the databases to July 31,2022.VOSviewer,CiteSpace,Carrot2,and Note-Express were used for data analysis of the articles in terms of their quantities,types,and journals,and for visualization of research hotspots,authors,institutions,and keywords.Results 1493 Chinese articles and 40 English articles were included.The articles in Chinese mainly focus on clinical trial research and clinical experience summary,while the English articles mainly focus on clinical trial research and animal research.The Chinese articles were published in 317 Chinese journals,while English articles were published in 29 English journals.Research hotspots include the clinical syndrome differentiation of ITP,the therapeutic effect of TCM compounds on ITP,and the mechanism of ITP treatment.Keyword analysis shows that there are many research achievements in integrated traditional Chinese and western medicine treatment,clinical research,famous doctors’experience,TCM treatment,cellular immunity,and humoral immunity.The authors with the most articles in Chinese and English are Professor CHEN Xinyi and Professor MA Rou,respectively,and the research institutions with the most articles are Dongzhimen Hospital of Beijing University of Chinese Medicine and Xiyuan Hospital of China Academy of Chinese Medical Sciences.Chinese herbs often used to treat ITP clinically include Xianhecao(Agrimoniae Herba),Nvzhenzi(Ligustri Lucidi Fructus),Mohanlian(Ecliptae Herba),Zhongjiefeng(Sarcandrae Herba),etc.,and the prescription usually used to treat ITP include Guipi Decoction(归脾汤),Xijiao Dihuang Decoction(犀角地黄汤),Bazhen Decoction(八珍汤),Erzhi Pill(二至丸),and Xiaochaihu De-coction(小柴胡汤).The main development trends toward retrospective study,TCM treatment mechanism,and data mining.

中医五脏寒热证素特征的红外热像图识别方法初探

中医五脏寒热证素的病位证素是五脏,病性证素是寒热。运用红外热成像技术能非常灵敏的检测到机体体表温度的变化情况,研究中医五脏寒热证素特征与红外热像图之间的关系,可为中医辨证的数字化、客观化提供新的思路,为辅助临床诊疗提供新的方法。由此,文章对红外热成像技术在中医五脏寒热证素特征中的应用原理和研究方法进行初探,并对其面临的问题及发展提出看法。

Visualization analysis of the international standard ISO/TC 249 for traditional Chinese medicine

Objective This study proposes to visually review the current situation and progress of standards sets by the International Organization for Standardization/Technical Committee on Traditional Chinese Medicine(ISO/TC 249). The review aims to explore the development strategies of the standards, which will exhibit the considerable impact on the economy, trade and exchanges, and cooperation in the area of traditional Chinese medicine(TCM).Methods ISO/TC 249 standards were searched on the ISO website, and their title, proposed time, current stage, scope, and classification were obtained for further summarization. Gephi was utilized to portray the co-occurrence network graph of the ISO/TC 249 standards subject.Results In ISO/TC 249, there were 116 standards, including 81 published standards and 35 developing standards by April 30, 2022. Two withdrawal standards were published after revision, which were not counted in the total standards. The number of published standards has been increasing since the first standard was published in 2014, whose title was “Sterile acupuncture needles for single use”. Among these standards, 17.24%(20/116) standards were in review, 56.03%(65/116) in publication, 3.45%(4/116) in approval, 5.17%(6/116) in enquiry,3.45%(4/116) in committee, and 14.66%(17/116) in preparation, respectively. With 116 standards, most of the research focused on the medicament, as its classification of the International Classification for Standards(ICS) showed the proportion reaching 49.54%. The network analysis data revealed that the top five most frequent words were “materials” “root” “requirements” “products” and “system”, after removing the noise data, such as prepositions,conjunctions, and pronouns. Additionally, the word “system” co-exists with the terms “computerized” “coding” “image” “tongue” and “analysis”;the word “requirement” co-exists with“manufacturing” “decoction” “process” and “materials”;whereas the word “devices” coexists with “pulse” “electric” “skin” and “measurement”.Conclusion With the increased diversification and complexity of problems, the development of standards is also oriented to multidisciplinary fields to cultivate the interdisciplinary talents, and especially the international standardization talents of compound TCM. Multi-angle analysis, formulation, and demonstration of standards, in line with industry needs in different disciplines, enhance the availability of standards and the ability to serve the industry.

The gas discharge visualization(GDV)order parameter model based on the principle of mastering both permanence and change

Objective To investigate the human body’s complex system,and classify and characterize the human body’s health states with“a comprehensive integrated method from qualitative to quantitative”.Methods This paper introduces the concept of“order parameters”and proposes a method for establishing an order parameter model of gas discharge visualization(GDV)based on the principle of“mastering both permanence and change(MBPC)”.The method involved the fol-lowing three steps.First,average luminous intensity(I)and average area(S)of the GDV im-ages were calculated to construct the phase space,and the score of the health questionnaire was calculated as the health deviation index(H).Second,the k-means++clustering method was employed to identify subclasses with the same health characteristics based on the data samples,and to statistically determine the symptom-specific frequencies of the subclasses.Third,the distance(d)between each sample and the“ideal health state”,which determined in the phase space of each subclass,was calculated as an order parameter describing the health imbalance,and a linear mapping was established between the d and the H.Further,the health implications of GDV signals were explored by analyzing subclass symptom profiles.We also compare the mean square error(MSE)with classification methods based on age,gen-der,and body mass index(BMI)indices to verify that the phase space possesses the ability to portray the health status of the human body.Results This study preliminarily tested the reliability of the order parameter model on data samples provided by 20 participants.Based on the discovered linear law,the current model can use d calculated by measuring the GDV signal to predict H(R^(2)>0.77).Combined with the symptom profiles of the subclasses,we explain the classification basis of the phase space based on the pattern identification.Compared with common classification methods based on age,gender,BMI,etc.,the MSE of phase space-based classification was reduced by an order of magnitude.Conclusion In this study,the GDV order parameter model based on MBPC can identify sub-classes and characterize individual health levels,and explore the TCM health meanings of the GDV signals by using subjective-objective methods,which holds significance for establishing mathematical models from TCM diagnosis principles to interpret human body signals.