• Radiation Oncology Journal
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• v.31 no.1
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• pp.48-54
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• 2013

Castleman's disease or angiofollicular lymph node hyperplasia is a rare lymphoproliferative disorder. Complete surgical resection was recommended in unicentric Castleman's disease. Radiotherapy was considered alternative therapeutic option. However, there have been consistent favorable responses to radiotherapy. We also experienced two cases of uncentric Castleman's disease salvaged successfully with radiotherapy. This paper described these cases and reviewed the literature about Castleman's disease treated with radiotherapy. Reviewed cases showed that radiotherapy is a successful treatment option in unicentric Castleman's disease. Furthermore, our report confirms the radiotherapy role in uncentric Castleman's disease.

• Journal of TMJ Balancing Medicine
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• v.11 no.1
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• pp.12-19
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• 2021

There are many studies that show the association between Parkinson's disease and temporomandibular joint disorder. However, no clinical studies have yet been reported that TMJ Banlancing Therapy (TBT) can treat Parkinson's disease. In this study, the applicability of TBT for the treatment of Parkinson's disease was investigated by reviewing several studies on the factors related to Parkinson's disease and temporomandibular joint disorder and clinical studies of patients with Parkinson's disease using conventional oral appliances and exercises. In summary, it is considered that TBT has a high potential for use in the treatment of Parkinson's disease, but it is thought that prospective clinical research is needed in the future to establish objective evidence related to this.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.3
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• pp.540-547
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• 2009

There needs disease-predictable signs in order to enable preventive diagnosis and therapy. Then traditional Chinese medicine applies various medical diagnostic equipments used in western medicine to diagnosing sub-healthy state. But such data are not originated from inherent oriental medicine, and not obtained easily in ordinary clinical practice. This paper is to provide synopsis of the ante-disease diagno-therapeutics partly and to show predictable data based on the facial shapes and signs, especially of gall bladder's versus bladder's body and masculine versus feminine shape. Ante-disease means not only the complete healthy state, but also the state unseen any symptoms in macrographically in the course of outbreak of disease. It contains two stages, first one is the former state of disease and second one is untransmitted state of disease. The patterns of ante-disease consist of latent disease, pre-disease, transmission type like senescent syndrome, abnormal reactive syndrome(變證), syndrome of transmission and transmutation. The classification with gall bladder and bladder type manifests the differences of shape, color and size of each organ in comparison of the universal and standard figures of the human being. On the other hand, the classification with masculine and feminine shape contrasts the innate sexual difference and the shape, characteristics originated from in itself. These two classification theories have their own pathologic types and syndrome types with each disease so that disease-predictable data can be constructed based on such a relationship. In addition, this diagnostic method by facial shapes and signs is able to be applied to whole stages from prenatal to present state of disease even if the cause and inducement are not clear. Ante-disease diagno-theraputic system by Gall Bladder's versus Bladder's Body and Masculine versus Feminine Shape is getting more important in the chronic and internal disease in comparison of the acute and traumatic disease. So this study is able to make up for the limit of diagnosis on ante-disease in the field of oriental medicine clinic.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.215-222
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• 2009

Human voice reacts very sensitively to human's minute physical condition. For instance, human voice disorders affect patients profoundly especially in the case of Parkinson's disease. Acoustic tools such as MDVP, can function as an equipment that measures various voice in different objects. Many different approaches have been applied for analyzing the voice disorders for diagnosis of Parkinson's disease. According to the voice data of suspected Parkinson's patients from UCI Machine Learning Repository, it is reported to have 23 people with Parkinson's disease and 8 healthy people. Applying Mahalanobis Taguchi System (MTS) for diagnosis of Parkinson's disease, the correct diagnosis performance is compared to previous research results.

• Journal of Korean Medical classics
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• v.24 no.5
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• pp.131-145
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• 2011

I had come at the conclusion of the development history of Disease Bi(痞病) reflected in Yi Cheon (李梴)'s work, "Euhakibmun(醫學入門)" in the respects of the causes, mechanism, symptoms, differential diagnosis and treatments. The causes of Disease Bi(痞病) mentioned at "Euhakibmun(醫學入門)" followed the Ju Dan-Gyeo(朱丹溪)'s theory. The mechanism of it went after the viewpoints of "Nae-Gyeong(內經)", Jang Jung-Gyeong(張仲景), Yi Dong-Won(李東垣) and Wang Ho-Go(王好古). The symptoms of it kept the Ju Dan-Gyeo(朱丹溪)'s theory. Yi Cheon distinguished Disease Bi(痞病) from Gyeol-Hyung(結胸) according to Jang Jung-Gyeong's theory. He knew it from abdominal dropsy(脹滿) according to Ju Dan-Gyeo's theory. He also divided it into two respects of deficiency(虛) and excessive(實) from Yi Dong-Won's viewpoint. Jang Jung-Gyeong first suggested that treatments of it could be selected according to the difference of deficiency, excessive(實), cold(寒), hot(熱), sputum(痰), fluid(飮), blood(血) and food(食). Yi Dong-Won insisted many doctors could make a mistake because they only used herbs for Gi(氣藥) instead of herbs for blood(血藥) together. Wang Ho-Go(王好古) maintained his opinion that treatments of both digestion(消導) and assistance(補益), remedies of bitter and hot herbs can recover patients from Disease Bi(痞病). Yi Cheon followed their theories properly.

• Journal of Integrative Natural Science
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• v.16 no.2
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• pp.61-67
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• 2023

Human body ages differently due to environmental, genetic and pathological factors. DNA methylation patterns also differs depending on various factors such as aging and several other diseases. The aging clock model, which uses these differences to predict age, analyzes DNA methylation patterns, recognizes age-specific patterns, predicts age, and grasps the speed and degree of aging. Aging occurs in everyone and causes various problems such as deterioration of physical ability and complications. Alzheimer's disease is a disease associated with aging and the most common brain degenerative disease. This disease causes various cognitive functions disabilities such as dementia and impaired judgment to motor functions, making daily life impossible. It has been reported that the incidence and progression of this disease increase with aging, and that increased phosphorylation of Aβ and tau proteins, which are overexpressed in this disease and accelerates epigenetic aging. It has also been reported that DNA methylation is significantly increased in the hippocampus and entorhinal cortex of Alzheimer's disease patients. Therefore, we calculated the biological age using the Epi clock, a pan-tissue aging clock model, and confirmed that the epigenetic age of patients suffering from Alzheimer's disease is lower than their actual age. Also, it was confirmed to slow down aging.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.12
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• pp.1095-1105
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• 2013

This paper proposes the RDMS(Rough Set Theory based Disease Monitoring System) which efficiently manages diseases in Healthcare System. The RDMS is made up of DCM(Data Collection Module), RDRGM(RST based Disease Rules Generation Module), and HMM(Healthcare Monitoring Module). The DCM collects bio-metric informations from bio sensor of patient and stores it in RDMS DB according to the processing procedure of data. The RDRGM generates disease rules using the core of RST and the support of attributes. The HMM predicts a patient's disease by analyzing not only the risk quotient but also that of complications on the patient's disease by using the collected patient's information by DCM and transfers a visualized patient's information to a patient, a family doctor, etc according to a patient's risk quotient. Also the HMM predicts the patient's disease by comparing and analyzing a patient's medical information, a current patient's health condition, and a patient's family history according to the rules generated by RDRGM and can provide the Patient-Customized Medical Service and the medical information with the prediction result rapidly and reliably.

• Journal of Oriental Neuropsychiatry
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• v.17 no.1
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• pp.59-78
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• 2006

Objective : This research investigates the effect of the CMT and SCMT on Alzheimer's disease. Methods : The effects of the CMT and SCMT on (1) amyloid precursor proteins(APP), acetylcholinesterase(AChE) mRNA of PC-12 cells treated with CT-105; (2) the AChE activity and the APP production of PC-12 cell treated with CT-105; (3) the behavior; (4) expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA; (5) the infarction area of the hippocampus in Alzheimer's disease mice induced with CT105 & ${\beta}A$ were investigated Rresults : 1. The CMT and SCMT suppressed the expression of APP, AChE mRNA in PC-12 cells treated with CT-105 2. The CMT and SCMT suppressed the AChE activity, and the production of APP significantly in PC-12 cells treated with CT-105. 3. For the CMT and SCMT group a significant inhibitory effect on the memory deficit was shown for the mice with Alzheimer's disease induced by ${\beta}A$ in the Morris water maze experiment, which measured stop-through latency, and distance movement-through latency 4. The CMT and SCMT suppressed the over-expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA in the mice with Alzheimer's disease induced by ${\beta}A$. 5. The CMT and SCMT reduced the infarction area of hippocampus with Alzheimer's disease induced by ${\beta}A$. Conclusions : These results suggest that the CMT and SCMT may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the CMT and SCMT for Alzheimer's disease is suggested for future research.

• Biomedical Science Letters
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• v.21 no.1
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• pp.1-8
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• 2015

Alzheimer's disease is a common form of dementia occurring among the elderly population and can be identified by symptoms such as cognition impairments, memory loss and neuronal dysfunction. Alzheimer's disease was found to be caused by the deposition of $\beta$-amyloid plaques and neurofibrillary tangles. In addition, mutation in the APP (Amyloid precursor protein), Presenilin 1 (PSEN1) and Presenilin 2 (PSEN2) genes were also found to contribute to Alzheimer's disease. Since the potential conformational diagnosis of Alzheimer's disease requires histopathological tests on brain through autopsy, potential early diagnosis still remains challenging. In recent years, several researches have proposed the use of biomarkers for early diagnosis. In cerebrospinal fluid (CSF), $\beta$-amyloid(1-42), phosphorylated-tau and total tau were suggested to be effective biomarkers for Alzheimer's disease diagnosis. However, a single biomarker might not be sufficient for potential diagnosis of Alzheimer's disease. Thus, the use of RNA interference (RNAi) through microRNAs (miRNAs) has been proposed by several researchers for simultaneous analysis of several biomarkers using microarray technology. These miRNA based biomarkers can be analysed from both blood and CSF, but miRNAs from blood are advantageous over CSF as they are non-invasive and simple for collection. Moreover, the RNAi based therapeutics by siRNA (short interference RNA) or shRNA (short hairpin RNA) have also been proposed to be effective in the treatment of Alzheimer's disease. This review describes the promising application of RNAi technology in therapeutics and as a biomarker for both Alzheimer's disease diagnosis and treatment.

• Annals of Clinical Neurophysiology
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• v.8 no.2
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• pp.135-145
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• 2006

Background: Parkinson's disease is movement disorder due to dopaminergic deficiency. It has been noted that cognitive dysfunction also presented on Parkinson's disease patients. But, it is not clear whether such a cognitive dysfunction was a dopaminergic dysfunction or cholinergic dysfunction. Using linear and non-linear analyses, we analysed the effect of cognitive and motor symptom on EEG change. Methods: EEGs were recorded from patients with Parkinson's disease and essential tremor, and normal controls during rest. We calculated the power spectrum, correlation dimension and Lyapunov exponent by using 'Complexity'program. The power spectrum, correlation dimension, and Lyapunov exponent were compared between Parkinson's disease patients and essential tremor patients. Results: Theta power was increased in Parkinson's disease patient group. Correlation dimension was increased in Parkinson's disease patients. Positive correlation was noted between MMSE and correlation dimension, and negative correlation was noted between MMSE and Lyapunov exponent. Lyapunov exponent was decreased in Parkinson's disease patient. Conclusions: We conclude that the state of Parkinson's disease patient is characterized by increased correlation dimension and decreased Lyapunov exponent.