• The Journal of Korean Medicine
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• v.37 no.2
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• pp.119-124
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• 2016

Objectives: To demonstrate a clinical course and feature of a female patient with a severe liver injury (DILI) during antituberculosis treatment for her intestinal tuberculosis, whom traditional Korean medicine completely recovered. Methods: A female patient with diagnosed as DILI by antituberculosis drugs had been treated with herbal drugs; and then the clinical outcome and biochemical parameters had been monitored. Result: A 45-year old female had taken antituberculosis drugs for about 2 months, and complained severe abdominal discomfort and dyspepsia. The RUCAM score was 10, which met the criteria for DILI (AST 584 IU/L, ALT 1212 IU/L, ALP 100 IU/L, and GGT 161 IU/L, total bilirubin 0.9 mg/dL). She had been treated with herbal drugs and acupuncture as inpatient and outpatient, and then her symptoms had been completely recovered with normalization of hepatic enzymes. Conclusion: This report provides a clinical characteristic for a severe hepatotoxicity induced by antituberculosis drugs, and showed an example of TKM-based application.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.28 no.1
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• pp.299-309
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• 1998

This case was diagnosed as multiple cementoosseous dysplasia on the basis of clinical & radiological features but was diagnosed as ossifying fibroma on the basis of histopathological feature. The histopathologic features of the multiple cementoosseous dysplasia and cementoossifying fibroma have common features of cementum, fibrous network and bone. Multiple cementoosseous dysplasia is reactive lesion and shows restricted lesion size, occurred on anterior and posterior tooth of the mandible and needs no treatement except periodic follow up. But Cementoossifying fibroma is the true neoplasm and grows continuously and needs surgical removal. The final diagnosis of the multiple cementoosseous dysplasia requires good correlation of the clinical, histopathological, and radiological features.

• Annals of Clinical Neurophysiology
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• v.24 no.2
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• pp.79-83
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• 2022

Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin's lymphoma. Although progressive lymphadenopathy is a typical feature, extranodal involvement may also occur, including the gastrointestinal tract, skin, bone, thyroid, and testes. Central nervous system invasion is rare, so differentiating it from diseases such as inflammatory demyelinating disorder or infection is essential. DLBCL is therefore a challenge to diagnose, especially when the first findings are neurological symptoms. We report an unusual case of DLBCL that presented as transverse myelitis.

• Journal of Convergence Korean Medicine
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• v.1 no.1
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• pp.5-15
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• 2021

Objectives: To review the concept of Moebius syndrome. Methods: Literature search was done to study definition, epidemiology, pathophysiology, clinical feature, and treatment of Moebius syndrome. Pubmed, RISS, Google scholarship and uptodate scholastic were used in the research. Search words were 'Moebius syndrome', 'treatment of Moebius syndrome'. Only English and Korean studies were assessed. Results: Moebius syndrome is rare disease characterized by nonprogressive congenital uni- or bi-lateral facial (VII cranial nerve) and abducens (VI cranial nerve) palsy. This facial palsy is found across the world, and its incidence is approximately 1 per 250,000. Moebius is diagnosed by clinical features. Facial palsy, eye abduction problem, limb deformities, global cerebral nerve impairment can be shown. Rehabilitation, smile surgery, and acupuncture can be used to treat this. Conclusion: Moebius syndrome's epidemiology, pathogenesis, treatment is still not fully revealed. It is known to be a congenital disease which didn't have exact treatment except surgery. But, it needs further study about exact treatment, diagnosis, and pathogenesis.

• Clinical Pain
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• v.19 no.2
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• pp.133-137
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• 2020

Bertolotti's syndrome (BS) is a disease that should be differentiated from low back pain (LBP) in young patients. BS shows an anatomical abnormality in which elongated transverse processes of the last lumbar vertebra articulate or fuse with varying degrees to the sacrum or ilium according to radiologic findings, which is associated with the clinical feature of LBP or radiating pain. In this case report, we describe various clinical features such as a waddling gait with severe foot and triceps surae muscle pain, in addition to the typical symptom of BS such as LBP. We report the various clinical symptoms and treatment progress in this case and review the literature.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2137-2142
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• 2016

The electrical current generated by heart creates not only electric potential but also a magnetic field. In this study, the signals obtained magnetocardiogram(MCG) using 61 channel superconducting quantum interference device(SQUID) system, and the clinical significance of various feature parameters has been developed MCG. Neural network algorithm was used to perform the classification of ischemic heart disease. The MCG signal was obtained to facilitate the extraction of parameters through a process of pre-processing. The data used to research the normal group 10 and ischemic heart disease group 10 with visible signs of stable angina patients. The available clinical indicators were extracted by characteristic point, characteristic interval parameter, and amplitude ratio parameter. The extracted parameters are determined to analysis the significance and clinical parameters were defined. It is possible to classify ischemic heart disease using the MCG feature parameters as a neural network input.

• Journal of Trauma and Injury
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• v.21 no.2
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• pp.128-135
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• 2008

Purpose: As the care of surgical patients becomes increasingly complex and catheter-based techniques are more frequently applied, the pattern of iatrogenic vascular injuries may be increasing. Major vascular injuries can jeopardize a patient's life or limb survival. The purpose of this study was to examine the current etiology and prognosis for iatrogenic vascular injuries. Methods: We reviewed medical records of 29 cases of iatrogenic vascular injury that were treated Seoul National University Bundang Hospital between October 2003 and October 2008. We studied clinical variables including demographics, cause of injury, clinical presentations, management and prognosis. Results: The mean age was 60.8 years (range: 25-86), and the male to female ratio was 1.9 : 1. The causes of injuries were operation related complication in 18 cases (62.1%), endovascular intervention and diagnostic angiography in 11 cases (37.9%). The types of vascular injury were partial severance in 14 cases, pseudoaneurysm in 8, arteriovenous fistula (AVF) in 3, thrombosis in 2, complete severance in 2. Especially, device related complication including percutaneous closing device were occurred in 9 and the others came from inadvertent physician's procedure. Primary repair were done in 12 cases, end-to-end anastomosis in 5, interposition graft in 4, ligation in 2, patch angioplasty in 1, peudoaneurysm excision and arteriorrhaphy in 1, hematoma evacuation in 1, and endovascular repair in 3. There were 2 cases of mortality, one of them due to hemorrhagic shock and the other due to septic shock. Conclusion: Proper selection of treatment modalities should be important to have better outcome according to the type of injury as well as anatomical location. Each physician should be familiar to new device as well as patient's topographical feature. Immediate referral to vascular specialist is also essential to reduce morbidity.

• Journal of Korean society of Dental Hygiene
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• v.4 no.2
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• pp.237-253
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• 2004

This study was to find a patient's motive for receiving implant treatment by age and gender using a self-reporting questionnaire survey with adults(men & women) in Woolsan. The result was as follows: 1. As a result of questionnaire survey with 155 patients in total(86 men, 69 women), 24 of 86 men(27.9%) valued the natural mastication feature of dental implant most, that is as similar as natural teeth, while 18 of 69 women(26.1%) had the most priority over the longer life of implant than common dental prostheses. By age, those in their 20s and 30s had a preference to implant treatment because it does not need to pulling out teeth for prostheses, while those in their 40s and over had a priority to the natural mastication feature of implant that is similar as much as natural teeth. By dental treatment, all of respondents said that the natural mastication feature is the most important in getting dental implant. It was founded that whether one can taste food as it is or not is less important, regardless of age or gender. 2. The greatest obstacle to implant surgery was expensive medical fees, 88 of 155 respondents(56.8%), with a fear of surgery itself being the least obstacle. 3. 90.2% of the total respondents said that they will want to receive dental implant treatment if their economy allow.

• Journal of Electrical Engineering and Technology
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• v.10 no.2
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• pp.670-675
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• 2015

Medical imaging is one of the most powerful tools for gaining information about internal organs and tissues. It is a challenging task to develop sophisticated image analysis methods in order to improve the accuracy of diagnosis. The objective of this paper is to develop a Computer Aided Diagnostics (CAD) scheme for Brain Tumour detection from Magnetic Resonance Image (MRI) using active contour models and to investigate with several approaches for improving CAD performances. The problem in clinical medicine is the automatic detection of brain Tumours with maximum accuracy and in less time. This work involves the following steps: i) Segmentation performed by Fuzzy Clustering with Level Set Method (FCMLSM) and performance is compared with snake models based on Balloon force and Gradient Vector Force (GVF), Distance Regularized Level Set Method (DRLSE). ii) Feature extraction done by Shape and Texture based features. iii) Brain Tumour detection performed by various tree classifiers. Based on investigation FCMLSM is well suited segmentation method and Random Forest is the most optimum classifier for this problem. This method gives accuracy of 97% and with minimum classification error. The time taken to detect Tumour is approximately 2 mins for an examination (30 slices).