Metabolic syndrome (MS) is a clinical syndrome with multiple metabolic disorders. As the diagnostic criteria for MS still lacking of imaging laboratory method, this study aimed to explore the differences between healthy people and MS patients through infrared thermography (IRT). However, the observation region of the IRT image is uncertain, and the research tried to solve this problem with the help of knowledge mining technology. 43 MS participants were randomly included through a cross-sectional method, and 43 healthy participants were recruited through number matching. The IRT image of each participant was segmented into the region of interest (ROI) through the preprocessing method proposed in this research, and then the ROI features were granulated by the K-means algorithm to generate the formal background, and finally, the two formal background were separately built into a knowledge graph through the knowledge mining method based on the attribute partial order structure. The baseline data shows that there is no difference in age, gender, and height between the two groups (P > 0.05). The image preprocessing method can segment the IRT image into 18 ROI. Through the K-means method, each group of data can be separately established with a 43 × 36 formal background and generated a knowledge graph. It can be found through knowledge mining and independent-samples T test that the average temperature and maximum temperature difference between the chest and face of the two groups are statistically different (P < 0.01). IRT could reflect the difference between healthy people and MS people. The measurement regions were found by the method of knowledge mining on the premise of unknown. The method proposed in this paper may add a new imaging method for MS laboratory examinations, and at the same time, through knowledge mining, it can also expand a new idea for clinical research of IRT.
ObjectiveTo explore the temperature distribution characteristics of the face, palms, feet and the trunk area of metabolic syndrome (MS) through infrared thermography (IRT) and provide evidence for the application of IRT in the assistant evaluation of MS population.MethodsWe collected thermographs of 184 participants (91 males, 93 females) and further divided participants of each gender into 4 groups according to the number of abnormal metabolic indexes. Mean temperatures of 6 Region of Interests (ROIs) (face, anterior trunk, bilateral palms and dorsum of feet) were calculated. Comparisons of the mean temperatures between genders, among groups and ROIs were carried out.ResultsMale participants had higher mean temperature in their face, palms (P<0.01) and dorsum of feet (P<0.05), and lower mean temperature in the anterior trunk (P<0.01). Female participants with MS had higher mean temperature in their palms and dorsum of feet (P<0.01) and lower mean temperature in the anterior trunk (P<0.01) than normal participants. Similar tendencies were shown in the mean temperature of the left palms and trunk of MS males. With the increase of the number of abnormal metabolic indexes, it seems that the mean temperature gradually increased in palms and dorsum of feet, and decreased in the anterior trunk.ConclusionThe thermograph of MS exhibits certain characteristics. This may help reveal the correlations between Infrared thermography and metabolic disorders.
Review question / Objective: The purpose of this review is to comprehensively evaluate the effectiveness and safety on mind-body therapies of traditional Chinese medicine for neuropathic pain. Condition being studied: According to the definition by the International Association for the Study of Pain (IASP), neuropathic pain is a kind of pain caused by lesions or diseases affecting the somatosensory nervous system. It has brought considerable negative impacts on patients and society. Neuropathic pain is a prevalent disease and can be induced by a variety of clinical conditions such as spinal cord injury (prevalence rate: 53%), induced peripheral neuropathic pain (prevalence rate: 38%), diabetic peripheral neuropathic pain (prevalence rate: 10%-26%), chemotherapy postherpetic neuralgia (3.9-42.0/10,000 people per year), prosopalgia (3-5/10,000 people per year), and so on. However, current recommended medicines for neuropathic pain management could cause dependence and adverse events. Thus, alternatives would be helpful for both patients and clinicians. Mind-body therapy in traditional Chinese medicine (TCM) has a long history in clinical practice for relieving pain and their effectiveness has not been systematically reviewed.The purpose of this review is to comprehensively evaluate the effectiveness and safety on mind-body therapies of traditional Chinese medicine for neuropathic pain.
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