• Title/Summary/Keyword: Clinical Feature

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A Case of Monocytoid B-Cell Lymphoma Associated with Sjogren Syndrome (Sjogren 증후군과 동반된 Monocytoid B-Cell Lymphoma 1례)

  • Rhee, Jung-Hoon;Paik, Sang-Huem;Yang, Hoon-Shik;Hong, Young-Ho
    • Korean Journal of Bronchoesophagology
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    • v.6 no.1
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    • pp.102-107
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    • 2000
  • Monocytoid B-cell lymphoma is uncommon, low grade lymphoma originating from monocytoid B lymphocytes. Monocytoid B-cell lymphoma usually presents as a localized lymphadenopathy. Peripheral lymph nodes are most often involved, particularly those in the frequent in the head and neck area. A distinctive feature is the association of monocytoid B-cell lymphoma with autoimmune diseases. Sjogren Syndrome had been present in 22% of patient with monocytoid lymphoma. Extranodal involvement by monocytoid lymphoma was reported in the salivary gland, breast, thyroid, and stomach. There were also occasional extensions to the liver and retroperitoneum. The bone marrow and peripheral blood involvement by monocytoid lymphoma is very rare, which is frequently seen in hairly cell leukemia. Fever, weight loss, and other constitutional signs are usually absent. Most patients have no symptoms, and the only sign is enlarged lymph nodes. The clinical course remains indolent; most patients are in complete remission and recurrence with progression to a high-grade lymphoma of large cell type was recorded only in a few cases. Authors experienced a case of monocytoid B-cell lymphoma associated with Sjogren Syndrome mistaken to simple cervical lymphadenitis in a 60-year-old female. We report this case with a review of literatures.

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The Effect of Continuous Ultrasound Therapy and Pulsed Ultrasound Therapy on Adjuvant Induced Rheumatoid Arthritis in Rat (지속적인 초음파치료와 맥동 초음파치료가 Adjuvant로 유도된 흰쥐의 관절염에 미치는 효과)

  • Lee, Byeung-Ok;Min, Kyung-Ok;Hong, Wan-Seng;Lee, Kyung-Moo;Hwang, Seock-Yeon
    • Journal of Korean Physical Therapy Science
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    • v.9 no.4
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    • pp.7-14
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    • 2002
  • The drug therapy for rheumatoid arthritis must be maintained constantly or for the whole life but is apt to induce the adverse effects in gastrointestinal or renal system. Therefor, newer methods are paid attention to reduce adverse effects. The thirty-two rat female separated into seven groups depending on the therapy or Freund's adjuvant applied: Normal group(n=8) not received anything, Positive control group(n=8) only received adjuvant, USC group(n=8) received continuous US, USP group(n=8) received pulsed US. The physical and radiological findings by thermal and non-thermal effects of ultrasound were evaluated in groups with continuous mode at 1 MHz, $0.5\;W/cm^2$ for 6 minutes and with pulsed mode (duty cycle 1:9) at 1 MHz, $0.5\;W/cm^2$ for 6 minutes. The result summarized followings. 1. Swelling of forepaw and hindpaw was significantly reduced in USP. 2. Arthritis indices in USP group were significantly reduced than those in PCG. 3. In naked eye and radiologic findings, swelling was significantly prevented in USP group but not in PCG. The change of swelling, arthritis index, gross feature in naked eye, radiologic finding were significantly improved in all groups except for USC group, taking care for using its continuous mode.

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Image Segmentation of Lung Parenchyma using Improved Deformable Model on Chest Computed Tomography (개선된 가변형 능동모델을 이용한 흉부 컴퓨터단층영상에서 폐 실질의 분할)

  • Kim, Chang-Soo;Choi, Seok-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.10
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    • pp.2163-2170
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    • 2009
  • We present an automated, energy minimized-based method for Lung parenchyma segmenting Chest Computed Tomography(CT) datasets. Deformable model is used for energy minimized segmentation. Quantitative knowledge including expected volume, shape of Chest CT provides more feature constrain to diagnosis or surgery operation planning. Segmentation subdivides an lung image into its consistent regions or objects. Depends on energy-minimizing, the level detail image of subdivision is carried. Segmentation should stop when the objects or region of interest in an application have been detected. The deformable model that has attracted the most attention to date is popularly known as snakes. Snakes or deformable contour models represent a special case of the general multidimensional deformable model theory. This is used extensively in computer vision and image processing applications, particularly to locate object boundaries, in the mean time a new type of external force for deformable models, called gradient vector flow(GVF) was introduced by Xu. Our proposed algorithm of deformable model is new external energy of GVF for exact segmentation. In this paper, Clinical material for experiments shows better results of proposal algorithm in Lung parenchyma segmentation on Chest CT.

Gamma Knife Radiosurgery for Low Grade Glioma - Long-Term Follow-up Results - (양성 신경교종의 감마나이프 방사선수술 - 장기 추적 결과 -)

  • Chun, Sae Myoung;Lim, Young Jin;Leem, Won;Kim, Tae Sung;Kim, Gook Ki;Rhee, Bong Arm
    • Journal of Korean Neurosurgical Society
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    • v.30 no.sup2
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    • pp.273-280
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    • 2001
  • Objectives : The purpose of this study is to assess the long-term outcome and delayed complications of Gamma Knife radiosurgery for low grade glioma(LGG). Methods : Among 31 patients of LGG who had been treated by using Leksell Gamma Knife between March 1992 and December 1996, we could follow up more than 5 years(range 5-9 years) in 17 patients and evaluated their clinical feature, changes of tumor volume and post-radiosurgical complications. Results : During the mean follow-up period of 7.6 years, the tumor was decreased in 5 patients(29.4%), unchanged in 4(23.5%), increased in 4(23.5%) and recurred in 4(23.5%). The tumor control rate was 52.9%(9/17). We have experienced eighteen postradiosurgical complications in 10 patients(58.8%). Early complication was none and delayed complications included radiation necrosis with cyst in ten cases, bleeding in five, radiation-induced edema in one and malignant transformation in one. Two patients ultimately died as a result of tumor progression during the follow-up period. The mortality rate was 11.7%. Conclusion : Gamma Knife radiosurgery may be useful as an adjunctive therapy for small volume, deep-seated LGG. Although radiosurgery can effectively prevent growth of solid tumor, several delayed complications such as radiation necrosis, cyst formation, bleeding or malignant transformation can develop during the long-term followup period. Because of the possible slow growth rate of LGG and development of the delayed complications, the long-term efficacy of radiosurgery requires further analysis.

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Nurses' Job Analysis in a Regional Emergency Center Using the DACUM (데이컴 기법을 이용한 일개 권역응급의료센터 간호사의 직무 분석)

  • Yun, Hee Je;Jung, Eun Hee;Jung, Woon Seon;Lee, Sang Rim;Kwon, Young Ok
    • Journal of Korean Clinical Nursing Research
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    • v.26 no.1
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    • pp.26-46
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    • 2020
  • Purpose: This study aimed to establish the role of and to analyze the job of nurses in a regional emergency center using the Developing a Curriculum(DACUM) process, a job analysis technique. Methods: The DACUM committee was organized, and three workshops were held from June 1st to July 4th, 2016. One hundred two nurses in a regional emergency center participated in a survey from October 3rd to 10th, 2016. The frequency, importance and difficulty of each tasks and task elements in the DACUM were investigated on a Likert scale. Results: The roles of nurses in a regional emergency center were identified and the DACUM chart was developed with 6 duties, 29 tasks and 153 task elements. According to the survey, some tasks such as 'CPR,' 'acute respiratory distress care,' and 'drug administration' showed high frequency and importance or difficulty in all nursing units in common, and different results reflected the characteristics of each nursing unit were also found. Conclusion: The results showed the feature of the regional emergency center. Based on these results, it is necessary to develop educational programs for practice.

Sex-based differences in factors associated with bronchial hyperresponsiveness in adolescents with childhood asthma

  • Kim, Young Hwan;Jang, Yoon Young;Jeong, Jieun;Chung, Hai Lee
    • Clinical and Experimental Pediatrics
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    • v.64 no.5
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    • pp.229-238
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    • 2021
  • Background: Bronchial hyperresponsiveness (BHR), an important physiological feature of asthma, is a prognostic marker of childhood asthma. Purpose: We aimed to investigate the factors associated with BHR in adolescents with childhood asthma. Methods: Two hundred and fifteen adolescents (≥13 years of age; 149 males, 66 females) who were diagnosed with asthma during childhood were enrolled, underwent methacholine challenge tests, and were divided into the BHR group (<25 mg/mL of provocation concentration causing a 20% fall in forced expiratory volume in 1 second [FEV1] [PC20], n=113) or non-BHR group (≥25 mg/mL of PC20, n=102). We examined longitudinal changes in BHR and the risk factors for its persistence in the 108 adolescents for whom baseline data, including methacholine PC20 at age 6 years, were available. Multivariate logistic regression analyses were performed to assess the factors associated with BHR in adolescents. Results: Mold sensitization (adjusted odds ratio [aOR], 5.569; P=0.005) and increased blood eosinophil count (aOR, 1.002; P=0.026) were independently associated with BHR in boys but not girls. The odds of BHR decreased by 32% with each 1-year increase in age in boys (aOR, 0.683; P=0.010) but not girls. A reduced FEV1/forced vital capacity ratio (<90%) was independently related with BHR in female patients only (aOR, 7.500; P=0.007). BHR decreased with age throughout childhood. A low methacholine PC20 at age 6 years was independently associated with persistent BHR throughout childhood in male and female patients, whereas early mold sensitization was a risk factor for persistent BHR in male patients only (aOR, 7.718; P=0.028). Conclusion: Our study revealed sex-specific differences in the factors associated with BHR in adolescents with childhood asthma. Our findings suggest the risk factors that might affect asthma transition from childhood to adolescence and adulthood.

A Case of Mitochondrial Respiratory Chain Defect with Progressive Bilateral Cararacts (진행성 양측 백내장이 동반된 미토콘드리아 질환 1례)

  • Lee, Soonie;Lee, Young-Mock
    • Journal of The Korean Society of Inherited Metabolic disease
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    • v.18 no.3
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    • pp.95-98
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    • 2018
  • A striking feature of mitochondrial disorders is the vast heterogeneity in their clinical symptoms that ranges from a single organ to severe multisystem involvement. Though a variety of ocular symptoms such as ptosis, pigmentary retinal degeneration, external ophthalmoplegia, and optic nerve atrophy can occur in association with mitochondrial cytopathies, progressive bilateral cataracts are rare among their ocular findings. A 5-year-old girl with no previous medical history came to our hospital presenting symptoms of seizure. She started showing progressive developmental regression, increased seizure frequency, hypotonia, general weakness, dysphagia and decreased vision. Lactic acidosis was noted in metabolic screening test and we confirmed mitochondrial respiratory chain complex I defect in spectrophotometric enzyme assay using the muscle tissue. Progressive bilateral cataracts then developed and were fully evident at the age of 7. She underwent cataract extraction with posterior chamber lens implantation. We are reporting a case of mitochondrial respiratory chain defect with multiorgan involvements including bilateral progressive cataract, an uncommon ocular manifestation. Ophthalmologic evaluation is highly recommended not to overlook the possible ocular manifestations in mitochondrial disorders.

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History of the Photon Beam Dose Calculation Algorithm in Radiation Treatment Planning System

  • Kim, Dong Wook;Park, Kwangwoo;Kim, Hojin;Kim, Jinsung
    • Progress in Medical Physics
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    • v.31 no.3
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    • pp.54-62
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    • 2020
  • Dose calculation algorithms play an important role in radiation therapy and are even the basis for optimizing treatment plans, an important feature in the development of complex treatment technologies such as intensity-modulated radiation therapy. We reviewed the past and current status of dose calculation algorithms used in the treatment planning system for radiation therapy. The radiation-calculating dose calculation algorithm can be broadly classified into three main groups based on the mechanisms used: (1) factor-based, (2) model-based, and (3) principle-based. Factor-based algorithms are a type of empirical dose calculation that interpolates or extrapolates the dose in some basic measurements. Model-based algorithms, represented by the pencil beam convolution, analytical anisotropic, and collapse cone convolution algorithms, use a simplified physical process by using a convolution equation that convolutes the primary photon energy fluence with a kernel. Model-based algorithms allowing side scattering when beams are transmitted to the heterogeneous media provide more precise dose calculation results than correction-based algorithms. Principle-based algorithms, represented by Monte Carlo dose calculations, simulate all real physical processes involving beam particles during transportation; therefore, dose calculations are accurate but time consuming. For approximately 70 years, through the development of dose calculation algorithms and computing technology, the accuracy of dose calculation seems close to our clinical needs. Next-generation dose calculation algorithms are expected to include biologically equivalent doses or biologically effective doses, and doctors expect to be able to use them to improve the quality of treatment in the near future.

Boundary-Aware Dual Attention Guided Liver Segment Segmentation Model

  • Jia, Xibin;Qian, Chen;Yang, Zhenghan;Xu, Hui;Han, Xianjun;Ren, Hao;Wu, Xinru;Ma, Boyang;Yang, Dawei;Min, Hong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.1
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    • pp.16-37
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    • 2022
  • Accurate liver segment segmentation based on radiological images is indispensable for the preoperative analysis of liver tumor resection surgery. However, most of the existing segmentation methods are not feasible to be used directly for this task due to the challenge of exact edge prediction with some tiny and slender vessels as its clinical segmentation criterion. To address this problem, we propose a novel deep learning based segmentation model, called Boundary-Aware Dual Attention Liver Segment Segmentation Model (BADA). This model can improve the segmentation accuracy of liver segments with enhancing the edges including the vessels serving as segment boundaries. In our model, the dual gated attention is proposed, which composes of a spatial attention module and a semantic attention module. The spatial attention module enhances the weights of key edge regions by concerning about the salient intensity changes, while the semantic attention amplifies the contribution of filters that can extract more discriminative feature information by weighting the significant convolution channels. Simultaneously, we build a dataset of liver segments including 59 clinic cases with dynamically contrast enhanced MRI(Magnetic Resonance Imaging) of portal vein stage, which annotated by several professional radiologists. Comparing with several state-of-the-art methods and baseline segmentation methods, we achieve the best results on this clinic liver segment segmentation dataset, where Mean Dice, Mean Sensitivity and Mean Positive Predicted Value reach 89.01%, 87.71% and 90.67%, respectively.

A Study on MRI Semi-Automatically Selected Biomarkers for Predicting Risk of Rectal Cancer Surgery Based on Radiomics (라디오믹스 기반 직장암 수술 위험도 예측을 위한 MRI 반자동 선택 바이오마커 검증 연구)

  • Young Seo, Baik;Young Jae, Kim;Youngbae, Jeon;Tae-sik, Hwang;Jeong-Heum, Baek;Kwang Gi, Kim
    • Journal of Biomedical Engineering Research
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    • v.44 no.1
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    • pp.11-18
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    • 2023
  • Currently, studies to predict the risk of rectal cancer surgery select MRI image slices based on the clinical experience of surgeons. The purpose of this study is to semi-automatically select and classify 2D MRI image slides to predict the risk of rectal cancer surgery using biomarkers. The data used were retrospectively collected MRI imaging data of 50 patients who underwent laparoscopic surgery for rectal cancer at Gachon University Gil Medical Center. Expert-selected MRI image slices and non-selected slices were screened and radiomics was used to extract a total of 102 features. A total of 16 approaches were used, combining 4 classifiers and 4 feature selection methods. The combination of Random Forest and Ridge performed with a sensitivity of 0.83, a specificity of 0.88, an accuracy of 0.85, and an AUC of 0.89±0.09. Differences between expert-selected MRI image slices and non-selected slices were analyzed by extracting the top five significant features. Selected quantitative features help expedite decision making and improve efficiency in studies to predict risk of rectal cancer surgery.