• 환경생물
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• 제39권3호
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• pp.259-265
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• 2021

국내외에서 80여 종이 넘는 담수 및 해산어류를 감염시켜 대량폐사를 발생시키는 바이러스성 출혈성 패혈증 바이러스(VHSV) 진단검사를 위해 넙치의 여러 조직의 바이러스 발현량에 대한 정량적 데이터를 시간순서에 따라 분석하였다. 무작위 선별된 넙치에 3.0E+07 TCID₅₀ per 0.1mL per fish의 VHSV를 복강 주사하여 시간순서(0시간, 6시간, 12시간, 1일, 2일, 3일, 5일, 7일)에 따라 조직(아가미, 간, 신장, 비장, 근육)을 채취하였다. Real-time PCR 법을 통해 상대 정량한 결과 5일차 아가미, 간, 신장, 비장에서 바이러스의 발현량이 가장 높게 나타났다. 이번 연구를 통해 감염 초기단계에서 비장이 VHSV 확정진단을 위한 적정조직임을 입증하였으며, 국내 법정전염병 진단에 중요한 정보를 제공할 것이다.

• Korean Journal of Radiology
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• 제23권1호
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• pp.77-88
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• 2022

Objective: Our study aimed to evaluate the quality of radiomics studies on brain metastases based on the radiomics quality score (RQS), Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) checklist, and the Image Biomarker Standardization Initiative (IBSI) guidelines. Materials and Methods: PubMed MEDLINE, and EMBASE were searched for articles on radiomics for evaluating brain metastases, published until February 2021. Of the 572 articles, 29 relevant original research articles were included and evaluated according to the RQS, TRIPOD checklist, and IBSI guidelines. Results: External validation was performed in only three studies (10.3%). The median RQS was 3.0 (range, -6 to 12), with a low basic adherence rate of 50.0%. The adherence rate was low in comparison to the "gold standard" (10.3%), stating the potential clinical utility (10.3%), performing the cut-off analysis (3.4%), reporting calibration statistics (6.9%), and providing open science and data (3.4%). None of the studies involved test-retest or phantom studies, prospective studies, or cost-effectiveness analyses. The overall rate of adherence to the TRIPOD checklist was 60.3% and low for reporting title (3.4%), blind assessment of outcome (0%), description of the handling of missing data (0%), and presentation of the full prediction model (0%). The majority of studies lacked pre-processing steps, with bias-field correction, isovoxel resampling, skull stripping, and gray-level discretization performed in only six (20.7%), nine (31.0%), four (3.8%), and four (13.8%) studies, respectively. Conclusion: The overall scientific and reporting quality of radiomics studies on brain metastases published during the study period was insufficient. Radiomics studies should adhere to the RQS, TRIPOD, and IBSI guidelines to facilitate the translation of radiomics into the clinical field.

• 한국산학기술학회논문지
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• 제20권2호
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• pp.562-570
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• 2019

본 연구는 외래에서 항암화학요법을 받는 유방암 환자의 수면의 질에 영향을 미치는 요인을 규명하고자 실시하였다. B시에 소재한 종합병원에서 외래로 통원하며 항암화학요법을 받고 있는 유방암 환자 203명을 대상으로 자료를 수집하였으며, 수면의 질 정도는 가정경제상태(F=4.363, p=.014), 신체적 불편 증상(t=3.398, p=.001), 동반질환(t=2.634, p=.009), 유방암 진단 전 수면장애 경험(t=3.558, p=.001)에 따라 통계적으로 유의한 차이가 있었다. 외래에서 항암화학요법을 받는 유방암 환자의 수면의 질은 스트레스(r=-.369, p=.001), 피로(r=-.565, p=.001), 우울(r=-.526, p=.001)과 음의 상관관계로 나타났다. 또한 이들의 수면의 질에 영향을 미치는 요인으로는 피로(${\beta}=-.387$, p<.001), 유방암 진단 전 수면장애 경험(${\beta}=-.178$, p<.002), 우울(${\beta}=-.231$, p<.004)순으로 나타났으며, 수면의 질에 대한 이들 변수의 설명력은 총 37.4%이었다. 본 연구의 결과를 토대로 외래에서 항암화학요법을 받는 유방암 환자의 수면의 질을 증진시키기 위해서는 피로를 감소시키고, 유방암 진단 전 수면장애 경험 유무를 미리 파악하여 항암치료 전 조기에 적절한 약물적, 비약물적 수면중재를 제공하고, 우울을 감소시키기 위한 통합적 간호중재 프로그램 개발이 필요하다.

• 재활간호학회지
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• 제4권2호
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• pp.219-231
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• 2001

The purpose of this study was to investigate the relationship among percieved social support, hope and quality of life of the cancer patients and to gain the baseline data for development of nursing intervention program for promoting quality of life in cancer patients. The design of this study was a cross sectional correlational survey. The subjects were 220 out and in-cancer patients in 5 general hospitals in Pusan. The data were collected from July 2 to August 1, 2001. The instruments were the Percieved social support scale(16 items, 5 point scale) had developed by Tae(1986), Hope scale(12 items, 4point scale) developed by Nowotny(1989) and Quality of life scale(31 items, 10 point scale) developed by Tae et al.(2000). The data was analyzed by the SPSS/PC+ program using frequency & percentage, item mean & standard deviation, t-test, ANOVA & Scheffe test, Pearson's correlation coefficient. The results of this study was as follows: 1) The item mean score of quality of life was $6.05{\pm}1.16$ (range 0-10). The highest score of subarea of the quality of life was the spiritual wellbeing area ($7.09{\pm}1.63$) and the lowest score was social wellbeing area ($5.53{\pm}1.65$). The mean score of perceived social support was $52.65{\pm}10.32$ (최저 1, 최고 80). The mean score of family support was $32.71{\pm}6.66$ (range 1-40) and the mean score of medical team support was $19.93{\pm}5.95$ (range 1-40). The mean score of Hope was $37.02{\pm}5.64$ (range 1-48). 2) There were statistically significant difference in the score of quality of life according to the life effect of religion(F=3.97, p=0.00), treatment method(F=2.94, p=0.01), area of diagnosis(F= 3.48, p=0.01), stage of disease (F=13.74, p=0.00). 3) There was significant correlation between perceived social support(r=0.44, p=0.000 ; family support ; r=0.334, p=0.000, medical support; r=0.395, p=0.000), hope(r=0.563, p=0.000) and quality of life. In conclusion, there was a significant relationship among perceived social support, hope and quality of life. Therefore perceived social support, hope intervention programs should be developed to improve the quality of life in cancer patients.

• 한국학교ㆍ지역보건교육학회지
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• 제12권3호
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• pp.1-15
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• 2011

Objectives: We describe the development of a smoking and drinking prevention program for adolescents, using intervention mapping. Methods: The study sample consisted of 1,000 high school second-grade students from 6 high schools in Seoul. The PRECEDE model was applied for the needs assessment. We carried out a social diagnosis by assessing the factors such as the quality of life, happiness level, and satisfaction with school life; an epidemiological diagnosis on the perceived health status, stress levels, and priority of health issues; a behavioral diagnosis on the smoking and drinking rate and the intention to smoke and drink; and an educational diagnosis on knowledge, beliefs, attitudes, self-efficacy, outcome expectations, social norms and life skills. Results: The development process included a needs assessment, identifying factors that influence smoking and drinking among adolescents. Intention, knowledge, perceived norms, perceived benefit, perceived cost, perceived susceptibility, self-efficacy, and life skills were identified as determinants. Three performance objectives were formulated to describe what an individual needs to do in order to avoid smoking and drinking. Subsequently, we constructed an intervention matrix by crossing the performance objectives with the selected determinants. Each cell describes the learning objectives of the smoking and drinking prevention program. The program used methods from the transtheoretical model, such as consciousness raising, outcome expectations, self-reevaluation, self-liberation, counterconditioning, environmental reevaluation, and stimulus control. The program deals with the effects of smoking and drinking, self-improvement, decision making, understanding advertisements, communication skills, social relationships, and assertiveness. Conclusions: By using the process of intervention mapping, the program developer was able to ensure a systematical incorporation of empirical and new data and theories to guide the intervention design. Programs targeting other health-related behavior and other methods or strategies can also be developed using this intervention mapping process.

• The Korean Journal of Physiology and Pharmacology
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• 제24권1호
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• pp.89-99
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• 2020

Although microscopic analysis of tissue slides has been the basis for disease diagnosis for decades, intra- and inter-observer variabilities remain issues to be resolved. The recent introduction of digital scanners has allowed for using deep learning in the analysis of tissue images because many whole slide images (WSIs) are accessible to researchers. In the present study, we investigated the possibility of a deep learning-based, fully automated, computer-aided diagnosis system with WSIs from a stomach adenocarcinoma dataset. Three different convolutional neural network architectures were tested to determine the better architecture for tissue classifier. Each network was trained to classify small tissue patches into normal or tumor. Based on the patch-level classification, tumor probability heatmaps can be overlaid on tissue images. We observed three different tissue patterns, including clear normal, clear tumor and ambiguous cases. We suggest that longer inspection time can be assigned to ambiguous cases compared to clear normal cases, increasing the accuracy and efficiency of histopathologic diagnosis by pre-evaluating the status of the WSIs. When the classifier was tested with completely different WSI dataset, the performance was not optimal because of the different tissue preparation quality. By including a small amount of data from the new dataset for training, the performance for the new dataset was much enhanced. These results indicated that WSI dataset should include tissues prepared from many different preparation conditions to construct a generalized tissue classifier. Thus, multi-national/multi-center dataset should be built for the application of deep learning in the real world medical practice.

• Asian Pacific Journal of Cancer Prevention
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• 제17권10호
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• pp.4723-4727
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• 2016

Background: There are substantial differences in the mortality rates of stomach cancer among the 47 prefectures in Japan, and Aomori prefecture is one of the most severely impacted. The aims of this study were to determine the incidence and mortality rates of stomach cancer in Aomori prefecture in comparison with Japan as a whole and cast light on reasons underlying variation. Methods: Data on stomach cancer cases were extracted from the Aomori Cancer Registry Database. Incidence rates for specific stages at the time of diagnosis were cited from Monitoring of Cancer Incidence in Japan, and mortality rates for stomach cancer in Aomori prefecture and the whole of Japan were obtained from Vital Statistics. Age-standardised incidence and mortality rates were calculated using the direct method. Results: The age-standardised incidence rate of stomach cancer in Aomori prefecture was higher than in the whole of Japan for males but lower for females. However, the age-standardised mortality rates were higher in Aomori prefecture in both sexes. The proportion of localised cancers was lower in Aomori prefecture than in the whole of Japan for most age groups. Conclusions: The lower rate for localised cancer suggests that higher age-standardised mortality rates are due to delays in diagnosis, despite an attendance rate for stomach cancer screening was higher in Aomori prefecture than in the whole of Japan. One plausible explanation for the failure of successful early detection might be poor quality control during screening implementation that impedes early detection.

• 한국임상약학회지
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• 제19권2호
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• pp.81-88
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• 2009

Objectives: With more and more health economic evaluations being performed in many countries, the question of whether the results from the foreign studies can be transferred to other country is becoming important. The objective of this study was to conduct a case study using three transferability diagnosis tools for economic evaluation on rheumatoid arthritis. Methods: Three diagnosis tools were used to assess transferability: Welte's tool, Boulenger's and Urdahl's. Five researchers who have experience on economic evaluation made consensus on the evaluation through the semi-delphi method. Results: With Welte's tool, absolute and relative prices in healthcare, practice variation, health-status preference, productivity and work-loss time were evaluated as biased. The transferability information score by Boulenger's was 85.9%, which means qood quality reporting. In case of Urdahl's, research questions were well defined and reporting was transparent and explicitly stated. However, both the relevance of data inputs to Korea and robustness of model were relatively low. In conclusion the UK study on rheumatoid arthritis could be partially transferable to Korea, and will need modeling-based adjustments.

• Asian Pacific Journal of Cancer Prevention
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• 제16권14호
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• pp.5869-5873
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• 2015

Background: Breast and cervical cancers are among the most frequent and most fatal cancers in women. Life span of patients may be increased and quality of life improved through early diagnosis and treatment. This investigation was performed in order to determine knowledge and practices of female health personnel working at a university hospital regarding breast and cervical cancers. Materials and Methods: This descriptive investigation was performed in Erciyes University Hospitals in 2014. A total of 524 female health personnel were included in the study. Data were collected through a questionnaire of 36 questions prepared by the researchers. The Chi square test and logistic regression were used for statistical analyses. Results: The mean age of the study group was $32.8{\pm}6.9$ years, 18.3% being doctors and 81.7% nurses. Of the study group, 60.5% stated that they performed self breast-examination, 4.4% underwent HPV testing, 26.3% thought about taking an HPV test, 34.7% of those who are 40 years and over had mammography regularly and 19.5% of those who were married had a Pap smear conducted regularly. Most important causes of not performing the methods for early diagnosis of breast and cervical cancers are "forget and neglect". Conclusions: It was concluded that female doctors and nurses do not pay sufficient attention to screening programs for breast and cervical cancers. The importance of early diagnosis and treatment should be emphasized during the undergraduate education and in-service training programs. Health condition of personnel and their utilization of preventive health care should be followed by occupational physicians.

• 한국정밀공학회지
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• 제13권5호
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• pp.84-94
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• 1996

In order to prevent shell sticking by providing sufficient lubrication between the strand and the mold, the mold oscillation has been used. Now it is well known that the shape of the oscillation curve has a decisive effect on the surface quality of the cast product. Besides, oscillation parameters such as stroke and frequency are also very important. In order to guarantee that parameters which have been found to be optimal for a certain grade of steel do not change with time, periodical checks of the physical condition of the whole equipment are necessary. The portable mold oscillation analyzer with integrated computer, developed by POSCO, records the movement of the mold in every spatial direction. The system uses the gap sensors to measure the mold movement (displacement ) in the two horizontal directions according to the mold narrow and broad faces and the vertical strokes in the four corners of mold. The gap sensor is a non-contacting minute displacement measuring device using the principle of high frequency eddy current loss. The mold oscillation diagnosis system integrates the gap sensors, their converters and the industrial portable computer with plug-in data acquisition boards. The all programs, such as the fast Fourier transformation module (amplitude and phase spectrums) and harmonic analysis module, was coded by LabVIEW$^{TM}$ software as the graphical language. In an own 'expert module' which is included in the diagnosis program, one can obtain much information about the mold oscillation equipment.