• The Korean Journal of Cytopathology
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• v.18 no.2
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• pp.175-177
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• 2007

A case of Burkitt lymphoma diagnosed through fine needle aspiration cytology is described, A 66-year-old man presented with lymphadenopathy on the right cervical neck and axillary area. An ultrasonogram and CT scan for the cervical neck showed a multiple variable sized lymphadenopathy with pericapsular invasion and necrotic foci, Fine needle aspiration cytology (FNAC) of the cervical lymph nodes revealed very cellular and necrotic smears consisting of diffusely scattered intermediate monotonous round cells, tingible body macrophages and many mitotic figures. Histological features of the excised lymph nodes showed the classic morphological features of Burkitt lymphoma. Recognition of the characteristic cytological features can suggest the possibility of Burkitt lymphoma.

• The Korean Journal of Cytopathology
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• v.19 no.2
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• pp.86-98
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• 2008

Cerebrospinal fluid (CSF) cytology is based on the cytopathologic findings of other body fluids. However, CSF's cytologic features are less familiar to physicians than are those of the other body fluid's cytology because of the small number of cases. The low overall diagnostic accuracy and the presence of false positivity still remain as problems. The incidence of lymphoreticular malignancies and metastatic carcinomas are rather higher than that of primary brain tumors. In this review, the characteristic cytologic findings of conventional CSF cytology are reviewed along with a brief note on the technical preparation and diagnostic pitfalls.

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2009.04a
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• pp.297-297
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• 2009

• The Korean Journal of Cytopathology
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• v.7 no.2
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• pp.151-156
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• 1996

Phyllodes tumor(PT) is a rare distinctive fibroepithelial breast tumor that occasionally shows unpredictable clinical behavior. Wide excision should be the primary treatment of PT and enucleation, the standard procedure for fibroadenoma(FA), is proscribed due to high frequency of local recurrence. Therefore an accurate preoperative diagnosis of PT is essential in order to ensure proper surgical treatment. However, the differentiation between benign PT and FA is often difficult on the basis of cytologic findings. In an attempt to better understand the cytologic features of benign PT and possibly to differentiate PT from FA on the findings of fine needle aspiration(FNA) smears, we reviewed cytologic smears from 22 histologically diagnosed cases each of benign PT and FA, respectively. The cytologic features assessed were cellularity and atypia of both epithelial and stromal components, and shape of epithelial cell clusters. Atypia of stromal cells was more frequent in PT, while blunt branching pattern of epithelial cells was more frequent in FA. The specific cytologic diagnosis of PT is not possible in many cases, but the abundance of stromal cells with moderate nuclear atypia in the correct clinical setting such as older age and larger size(>4cm) allows the diagnosis.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.8
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• pp.1456-1463
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• 2010

The safety critical systems in nuclear power plants should be designed to have a high level of fault tolerant capability because those systems are used for protection or mitigation of the postulated accidents of nuclear reactor. Due to increasing of the system complexity of the digital based system in nuclear fields, the reliability of the digital based systems without an auto-test or a self-diagnostic feature is generally lower than those of analog system. To overcome this problem, additional redundant architectures in each redundant channel and self-diagnostic features are commonly integrated into the digital safety systems. The self diagnostic function is a key factor for increasing fault tolerant capabilities in the digital based safety system. This paper presents an availability and safety evaluation model to analyze the effect to the system's fault tolerant capabilities depending on self-diagnostic features when the loss or erroneous behaviors of self-diagnostic function are expected to occur. The analysis result of the proposed model on the several modules of a safety platform shows that the improvement effect on unavailability of each module has generally become smaller than the result of usage of conventional models and the unavailability itself has changed significantly depending on the characteristics of failures or errors of self-diagnostic function.

• Anxiety and mood
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• v.14 no.2
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• pp.127-134
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• 2018

Objective : The aim of this study was to examine the psychometric features of the Korean version of the Eating Disorder Diagnostic Scale-the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (K-EDDS DSM-5). Methods : A total of 72 patients diagnosed with eating disorders participated in the study. The diagnosis was based on the Korean version of the Eating Disorder Examination (KEDE) interview. All participants completed the K-EDDS and the Eating Disorder Examination Questionnaire version 6.0 (EDE-Q 6.0) for this study. The psychometric features of the K-EDDS were examined using exploratory factor analysis, convergent validity of agreement between the K-EDDS and the KEDE, and internal consistency. Results : The exploratory factor analysis initially extracted 6-factor structures which were reconstructed into 4 factors of body dissatisfaction, binge behavior, binge frequency, and compensatory behavior based on appropriateness of the items. The internal consistency of the K-EDDS was fairly acceptable (Cronbach's alpha=0.72). The diagnostic agreement between the K-EDDS and the KEDE was high (98.61%). The 4 factors of the K-EDDS showed significant correlation with the 4 subscales of the EDE-Q 6.0. Conclusion : Our data suggests that the K-EDDS is a reliable and valid tool for the diagnosis of eating disorders based on the DSM-5.

• Journal of Veterinary Science
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• v.22 no.5
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• pp.61.1-61.13
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• 2021

Background: Hepatocellular carcinoma is the most common primary hepatic malignancy in humans and dogs. Several differentially expressed molecules have been studied and reported in human hepatocellular carcinoma and non-neoplastic liver lesions. However, studies on the features of canine hepatocellular carcinoma are limited, especially related to the differential characteristics of neoplastic and non-neoplastic lesions. Objectives: The study's objective was 1) to examine and evaluate the expression of arginase-1, P-glycoprotein, and cytokeratin 19 in canine liver tissues and 2) to investigate the differential features of hepatocellular carcinomas, liver tissue with non-neoplastic lesions, and paracancerous liver tissues in dogs. Methods: The expression levels of three markers underwent immunohistochemical analysis in 40 non-neoplastic liver tissues, 32 hepatocellular carcinoma tissues, and 11 paracancerous liver tissues. Scoring of each marker was performed semi-quantitatively. Results: Arginase-1 and P-glycoprotein were significantly downregulated in hepatocellular carcinoma, compared with hepatic tissues with non-neoplastic diseases (p < 0.001). Expression levels of arginase-1 and P-glycoprotein were also significantly lower in hepatocellular carcinoma than in paracancerous liver tissues (arginase-1, p = 0.0195; P-glycoprotein, p = 0.047). Few cytokeratin 19-positive hepatocytes were detected and only in one hepatocellular carcinoma and one cirrhotic liver sample. Conclusions: The results of this study suggest that downregulation of arginase-1 and P-glycoprotein is a feature of canine hepatocellular carcinoma; thus, those markers are potential candidates for use in differentiating hepatocellular carcinomas from non-neoplastic liver lesions in dogs.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.13-21
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• 2016

Feature selection is the one of important issue in the field of data mining and machine learning. It is the technique to find a subset of features which provides the best classification performance, from the source data. We propose a feature subset selection method using the neighborhood rough set model based on information granularity. To demonstrate the effectiveness of proposed method, it was applied to select the useful features associated with breast tumor diagnosis of 298 shape features extracted from 5,252 breast ultrasound images, which include 2,745 benign and 2,507 malignant cases. Experimental results showed that 19 diagnostic features were strong predictors of breast cancer diagnosis and then average classification accuracy was 97.6%.

• Imaging Science in Dentistry
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• v.49 no.3
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• pp.201-208
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• 2019

Purpose: The aim of this study was to evaluate the characteristic features of oral and maxillofacial swellings that could be seen on ultrasonographic examinations. Materials and Methods: Fifty patients with oral and/or maxillofacial swellings were randomly selected, thorough case histories and clinical examinations were done, ultrasonographic examinations with Doppler imaging were performed, and the features of every group were studied. Finally, histopathological evaluations were performed to identify the final diagnosis, according to which patients were classified into 5 groups; group I: inflammatory/space infection and abscess swellings, group II: cystic swellings, group III: lymph node swellings, group IV: benign swellings, and group V: malignant neoplastic swellings. Results: A significant association (P<0.05), with a contingency coefficient of 0.88, was found between the histopathological and ultrasonographic diagnoses, with ultrasonography having a diagnostic accuracy of 89% in diagnosing maxillofacial swellings. The diagnostic accuracy of ultrasonography was 100% for lymph node and malignant swellings, followed by 98% for inflammatory and cystic swellings and 92% for benign swellings. The sensitivity of the ultrasonographic diagnosis was 100% for cystic, lymph node, and malignant swellings, followed by 91% for inflammatory swellings and 86% for benign swellings. Conclusion: Ultrasonographic features with Doppler imaging greatly aid in obtaining accurate diagnoses of oral and maxillofacial swellings. Ultrasonography is a recommended imaging tool for differentiating maxillofacial swellings and classifying them accurately.

• Korean Journal of Veterinary Research
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• v.60 no.2
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• pp.85-88
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• 2020

A 12-month-old domestic rabbit died suddenly without specific clinical signs. Gross examination revealed irregular yellowish hepatic nodules with pus in the submandibular muscles, lungs, uterus, and small intestines. Histopathological examination of the liver showed granulomatous inflammation with acid-fast-positive bacteria. Mycobacterium bovis SB1040 was identified by polymerase chain reaction and spoligotyping, and Pasteurella multocida was isolated from the multiple lesions. This report demonstrates the pathological features of rare bovine tuberculosis (bTB) in a domestic rabbit, the first case in the Republic of Korea. To ensure public safety, we recommend routine monitoring of rabbits to control the incidence of bTB.