• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.61 no.12
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• pp.714-717
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• 2018

Epidermal cysts are generally benign tumors that usually originate from the skin caused by inflammation of hair cortex and proliferation of epidermal cells within the dermis; however, for these cysts to occur in the bony external auditory canal (EAC) is rare. They are often present as a solitary, painless lesion and usually asymptomatic and the diagnosis depends on the results of the histological examination. In treatment, the cyst wall must be completely removed surgically. We recently encountered a 82-year-old male with a mass in the right EAC. An otoscopic examination showed a polypoid mass on the bony EAC, which was finally diagnosed as epidermal cyst after an initial misdiagnosis as EAC carcinoma. We report the rare, unique case with literature review.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.327-333
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• 2021

Zoster-associated pain (ZAP) in patients with herpes zoster (HZ) may persist for a long time, occurring even years after the rash has healed. In this case, the patient is diagnosed as having postherpetic neuralgia (PHN). Prodromal symptoms can present with constant or intermittent pain, and are often accompanied by other symptoms, resulting in misdiagnosis and/or inappropriate treatment. The aim of this study is to investigate the characteristics of the prodromal symptoms of ZAP through a multicenter study in Korea.

• Archives of Plastic Surgery
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• v.49 no.3
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• pp.457-461
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• 2022

Kaposi's sarcoma (KS) is a cancer that causes patches of abnormal tissue to grow under the skin. It also occurs in the immunosuppressive population. KS is currently believed to be caused by infection with human herpes virus-8 (HHV-8) in non-human immunodeficiency virus patient. A 79-year-old female visited the outpatient clinic presenting with increasing number and size of palpable masses on both upper and lower extremities. She was first diagnosed as drug-erupted dermatitis and stopped her medications, but the symptoms got worse. We did partial biopsy, and KS with HHV-8 was diagnosed histopathologically. She planned to undergo further evaluations and proper treatments. This rare case suggests the need to consider a classic type of KS in the differential diagnosis of specific dermatologic symptoms such as macular, nodular, and darkish patches of upper or lower extremities in elderly patients. It is believed that this case helps to strengthen awareness of this rare disease.

• Clinics in Shoulder and Elbow
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• v.25 no.2
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• pp.158-162
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• 2022

The incidence of musculoskeletal tuberculosis (TB) is on the rise due to the current Acquired Immunodeficiency Syndrome (AIDS) pandemic. Spine is the most common osseous site, followed by other joints. TB identified in the elbow accounts for 2%-5% of skeletal TB cases, which are secondary to pulmonary TB. Primary elbow TB is rare. We report a case of primary TB of the elbow which had a negative synovial biopsy. A 46-year-old right-hand dominant female patient with chronic pain and disability of the right elbow was diagnosed with chronic non-specific arthritis based on an arthroscopic synovial biopsy. The case was diagnosed retrospectively as active TB from bone cuts post total elbow arthroplasty. Anti-tuberculosis treatment (ATT) was given postoperatively for 12 months. The patient reported good functional outcomes at 3 years of follow-up. Such atypical presentations of osteoarticular TB are challenging to diagnose. Therefore, particularly in endemic areas, clinicians should be careful before excluding such a diagnosis even after a negative biopsy. Further research should investigate whether active TB of small joints such as the elbow can be treated with ATT, and early arthroplasty should be a focus of this research.

• Journal of radiological science and technology
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• v.45 no.3
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• pp.249-254
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• 2022

The purpose of this study was to examine the importance of proper positioning in chest PA X-ray examination. As a study method, this author searched for and analyzed materials related to chest PA X-ray examination from theses and books that had been published previously to understand the importance of proper positioning in chest PA X-ray examination. Generally, one of the examinations frequently done in most of the hospitals is chest PA X-ray examination. Also, in any kinds of X-ray examination, proper positioning is the most fundamental and definite way to provide accurate information about the patient. Poor positioning in chest PA X-ray examination may jeopardize the diagnosis and treatment, increase social cost due to examination needed to be done additionally, and generate additional radiation exposure unnecessarily above all. In conclusion, it is expected that proper positioning in chest PA X-ray examination will exert positive effects such as the provision of accurate information about the patient, prevention of misdiagnosis, reduction in social cost, and lastly decrease in radiation exposure.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1233-1241
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• 2022

Tumors of the brain are the deadliest, with a life expectancy of only a few years for those with the most advanced forms. Diagnosing a brain tumor is critical to developing a treatment plan to help patients with the disease live longer. A misdiagnosis of brain tumors will lead to incorrect medical treatment, decreasing a patient's chance of survival. Radiologists classify brain tumors via biopsy, which takes a long time. As a result, the doctor will need an automatic classification system to identify brain tumors. Image classification is one application of the deep learning method in computer vision. One of the deep learning's most powerful algorithms is the convolutional neural network (CNN). This paper will introduce a novel deep learning structure and image gradient to classify brain tumors. Meningioma, glioma, and pituitary tumors are the three most popular forms of brain cancer represented in the Figshare dataset, which contains 3,064 T1-weighted brain images from 233 patients. According to the numerical results, our method is more accurate than other approaches.

• Journal of Korean Foot and Ankle Society
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• v.27 no.3
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• pp.108-111
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• 2023

Anaplastic large cell lymphoma (ALCLs) are a group CD30-positive mature T-cell lymphomas, an uncommon subtype of non-Hodgkin lymphomas, characterized by diverse clinical and genetic features. Among the types of ALCL, anaplastic lymphoma kinase (ALK)-negative ALCL, though typically involves the lymph nodes, can infrequently invade other tissues. When soft tissue involvement occurs, it may mimic the clinical presentation of infectious diseases, leading to potential misdiagnosis. Therefore, a histological examination is necessary to differentiate between ALK-negative ALCL and similar phenotypes associated with infectious conditions. This paper reports a case of ALCL, initially misdiagnosed as an infection.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.49 no.4
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• pp.233-238
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• 2023

Schwannomas exhibit histopathological variation that leads to diagnostic dilemmas, although less frequent in the oral cavity. We describe a case with unique histopathology and no relevant clinical history that adds to the breadth of literature on the diversity presented by Schwannoma. A 60-year-old female patient presented with a small dome-shaped, asymptomatic swelling on the alveolar ridge 6 years in duration. Histopathologically, it showed rich cellular pathology with a unique arrangement of tumor cells forming irregular rosettes. Each rosette presented with a central core of fibrin-collagenous material and the tumor cells were arranged on the periphery, exhibiting epithelioid change with evidence of mild cellular and nuclear pleomorphism. On immunohistochemical evaluation, the cells were strongly and diffusely positive for S-100 and negative for Ki-67. A diagnosis of benign Schwannoma with a rosette-like arrangement with epithelioid change was made. The case report emphasizes the risk of misdiagnosis and the importance of awareness regarding rare histopathological variants of Schwannoma.

• Nuclear Engineering and Technology
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• v.55 no.3
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• pp.814-826
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• 2023

Sensor faults in nuclear power plant instrumentation have the potential to spread negative effects from wrong signals that can cause an accident misdiagnosis by plant operators. To detect sensor faults and make accurate accident diagnoses, prior studies have developed a supervised learning-based sensor fault detection model and an accident diagnosis model with faulty sensor isolation. Even though the developed neural network models demonstrated satisfactory performance, their diagnosis performance should be reevaluated considering real-time connection. When operating in real-time, the diagnosis model is expected to indiscriminately accept fault data before receiving delayed fault information transferred from the previous fault detection model. The uncertainty of neural networks can also have a significant impact following the sensor fault features. In the present work, a pilot study was conducted to connect two models and observe actual outcomes from a real-time application with an integrated system. While the initial results showed an overall successful diagnosis, some issues were observed. To recover the diagnosis performance degradations, additive logics were applied to minimize the diagnosis failures that were not observed in the previous validations of the separate models. The results of a case study were then analyzed in terms of the real-time diagnosis outputs that plant operators would actually face in an emergency situation.