• Title/Summary/Keyword: Cancer information

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Radiation Dosimetry for Radionuclide Therapy (동위원소 치료 관련 방사선 흡수선량평가)

  • Kim, Eun-Hee
    • 대한핵의학회:학술대회논문집
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    • 2001.05a
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    • pp.4-10
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    • 2001
  • The radionuclide therapy is a protocol for tumor control by administering radionuclides as the cytotoxic agents. Radionuclides concentrated at the site of cancerous lesion are expected to kill the cancerous cells with minimal injury to the normal tissue. The efficacy of every radionuclide treatment can be evaluated by examining the toxicity to the lesion differentiated from that to the normal tissue. Radiation dosimetry is the procedure of quantitating the energy absorbed by target volumes of interest. Dosimetric information plays an indicator of the expected radiation damage and thus the therapeutic efficacy. This paper summarizes the dosimetric aspects in radionuclide therapy in terms of radionuclides of use, radiation dosimetry methodology and considerations for each treatment in practical use.

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Cooperative Instruction of Signaling and Metabolic Pathways on the Epigenetic Landscape

  • Kim, Jung-Ae
    • Molecules and Cells
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    • v.41 no.4
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    • pp.264-270
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    • 2018
  • Cells cope with diverse intrinsic and extrinsic stimuli in order to make adaptations for survival. The epigenetic landscape plays a crucial role in cellular adaptation, as it integrates the information generated from stimuli. Signaling pathways induced by stimuli communicate with chromatin to change the epigenetic landscape through regulation of epigenetic modifiers. Metabolic dynamics altered by these stimuli also affect the activity of epigenetic modifiers. Here, I review the current understanding of epigenetic regulation via signaling and metabolic pathways. In addition, I will discuss possible ways to achieve specificity of epigenetic modifications through the cooperation of stimuli-induced signal transduction and metabolic reprogramming.

Permutation Predictor Tests in Linear Regression

  • Ryu, Hye Min;Woo, Min Ah;Lee, Kyungjin;Yoo, Jae Keun
    • Communications for Statistical Applications and Methods
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    • v.20 no.2
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    • pp.147-155
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    • 2013
  • To determine whether each coefficient is equal to zero or not, usual $t$-tests are a popular choice (among others) in linear regression to practitioners because all statistical packages provide the statistics and their corresponding $p$-values. Under smaller samples (especially with non-normal errors) the tests often fail to correctly detect statistical significance. We propose a permutation approach by adopting a sufficient dimension reduction methodology to overcome this deficit. Numerical studies confirm that the proposed method has potential advantages over the t-tests. In addition, data analysis is also presented.

Expression and Preparation of Periostin FAS1 Domains for NMR Structure Determination

  • Yun, Hyosuk;Kim, Jae Il;Lee, Chul Won
    • Journal of the Korean Magnetic Resonance Society
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    • v.20 no.1
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    • pp.17-21
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    • 2016
  • Periostin, a component of extracellular matrix (ECM) protein, is produced and secreted by the fibroblasts that are involved in chronic allergic inflammation diseases and various types of human cancers. Periostin protein is composed of multiple domains including four FAS1 domains which play important roles in cell adhesion and tumor metastasis by interacting with integrins. In spite of their important biological role, the structural information of periosin FAS1 domains was not revealed yet. Recently we systemically prepared various constructs of the FAS1 domains and tried to express them in E. coli. Of them, only single FAS1-II and -IV domains were highly soluble. Circular dichroism (CD) and nuclear magnetic resonance (NMR) studies revealed that the FAS1-IV domain might be suitable for three-dimensional structure determination using NMR spectroscopy.

Statistical Method for Implementing the Experimenter Effect in the Analysis of Gene Expression Data

  • Kim, In-Young;Rha, Sun-Young;Kim, Byung-Soo
    • Communications for Statistical Applications and Methods
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    • v.13 no.3
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    • pp.701-718
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    • 2006
  • In cancer microarray experiments, the experimenter or patient which is nested in each experimenter often shows quite heterogeneous error variability, which should be estimated for identifying a source of variation. Our study describes a Bayesian method which utilizes clinical information for identifying a set of DE genes for the class of subtypes as well as assesses and examines the experimenter effect and patient effect which is nested in each experimenter as a source of variation. We propose a Bayesian multilevel mixed effect model based on analysis of covariance (ANACOVA). The Bayesian multilevel mixed effect model is a combination of the multilevel mixed effect model and the Bayesian hierarchical model, which provides a flexible way of defining a suitable correlation structure among genes.

Substandard Life Insurance and Medical Selection (표준하체보험(標準下體保險)과 의학적(醫學的) 선택(選擇))

  • Hirao, Masaharu
    • The Journal of the Korean life insurance medical association
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    • v.2 no.1
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    • pp.3-16
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    • 1985
  • Necessity of life insurance is stronger for people who feel some anxiety of their health. However, in fact, it is not permitted for them to get a contract, because life insurance stands on the mutual benefit system. Life insurance must be impartial to all applicants. However, it is very reasonable that an applicant, who has high medical impairment like heart infarction or cancer, is rejected, to have a contract by underwriting decision. On the other hand, if his medical impairment is not so severe, we might accept his application by giving some restriction. Numericalratingsystem by hunter-rogers gave us one of solutions to this problem. We can keep impartiality by using more restrictive decision, in order that we demand additional payment to the impairment applicant according to his mortality. We call this system as substandard life insurance. In this system we need detail information about impairments of applicants in order to decide the condition of substandard risks. Therefore, medical examiners are required to have high diagnostic technique.

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Correlation Analysis of Cancer Biomarkers and COPD Using the Word Embedding (워드 임베딩을 이용한 COPD와 암 관련 바이오마커의 상관관계 분석)

  • Yoon, Byeong-Hun;Kim, Yu-Seop
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.251-254
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    • 2017
  • 본 연구에서는 COPD와 기존에 연관이 있는 것으로 알려진 바이오마커 이외의 새로운 바이오마커를 찾고자 한다. Pubmed Data에서 선정한 암 관련 바이오마커를 추출하여 COPD와 암 관련 바이오마커의 관계를 파악하는 데이터로 사용한다. 그리고 워드 임베딩 모델 중 Word2vec을 사용하여 워드 임베딩 한다. 워드 임베딩한 K차원의 COPD와 암 관련 바이오마커를 t-SNE를 사용하여 시각화한다. 또한 코사인 유사도를 이용하여 COPD와 암 관련 바이오마커의 유사도를 측정한다. 그리고 코사인 유사도와 t-SNE 결과를 이용하여 COPD와 암 관련 바이오마커와의 상관관계를 파악할 수 있으며, 암 관련 바이오마커와 COPD 관련 바이오마커를 비교 하여 기존의 COPD와 연관이 있다고 알려진 바이오마커 이외의 새로운 바이오마커를 찾을 수 있다.

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Clinical Survey of the Patients of Pain Clinic (통증 치료 환자에 대한 임상통계적 고찰)

  • Lim, Kyung-Im;Kim, Byung-Ki;Sohn, Hang-Soo
    • The Korean Journal of Pain
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    • v.11 no.2
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    • pp.288-293
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    • 1998
  • We had retrospective analysis of 421 patients who were consulted from other departments. From 1994 to 1997, these patients received nerve blocks, intravenous lidocaine infusion, lasers and so on for their pain. From these results, we are gathering information and making some recommandations. The largest percentage of patients were in their fifties with a distribution of 32.8% male and 55.1% female. The most common condition requiring treatment was low back pain 44.6%, followed by cancer pain 19.2%, cervical pain 7.4%, and shoulder pain 4.3%. In case of low back pain, the largest portion was HNP(27%), followed by spinal stenosis(16%), sprain(11%), and postlaminectomy(10%). The most common cacer was colorectal(28.4%) and the next was stomach(19.7%). The most commonly done nerve block was stellate ganglion block 32.3%, followed by lumbar epidural block 24.5% and caudal block 7.2%.

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A Mueller Matrix Study for Measuring Thermal Damage Levels of Collagenous Tissues

  • Jun, Jae-Hoon
    • Journal of Biomedical Engineering Research
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    • v.27 no.6
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    • pp.310-317
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    • 2006
  • Extensive research with polarimetry and Mueller matrix has been done for chemical measurements and possible cancer detection. However, the effect of thermally denatured biological tissue on polarization changes is not well known. The purpose of this study is to characterize polarization changes in collagen due to thermal denaturation. The variations in polarized state caused by thermal damage were investigated by obtaining the Mueller matrix elements of collagen sample at multiple thermal damage levels. The changes in birefringence of denatured collagen were also investigated. This information could be used to determine the extent of thermal damage level of clinically heat treated tissues.

Gastric Cancer Extraction of Electronic Endoscopic Images using IHb and HSI Color Information (IHb와 HSI 색상 정보를 이용한 전자 내시경에서의 위암 추출)

  • Kim Kwang-Baek;Lim Eun-Kyung;Kim Gwang-Ha
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.05a
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    • pp.322-326
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    • 2006
  • 본 논문에서는 내시경 영상에 대해 위암 영역을 자동으로 추출하는 방법을 제안한다. 본 논문에서는 내시경 영상을 획득하는 과정에서 발생하는 조명에 의한 잡음과 굴곡에 의해 발생하는 그림자에 의한 잡음 부분을 해결하기 위해서 HSI의 채도와 밝기 값을 이용하여 잡음 영역을 제거한다. 그리고 헤모글로빈 색소 정보를 나타내는 IHb값을 이용하여 전자 내시경 영상에서 유사한 헤모글로빈 색소 정보를 가지는 영역으로 분할한다. 분할된 영역들 중에서 RGB의 각 채널과 헤모글로빈 색소가 높게 나타나면 후보 영역으로 설정한다. 설정된 후보 영역 중에서 위암 영역의 형태학적인 특징 정보를 이용하여 위암 영역을 추출한다. 실제 전문의가 제공한 20개의 내시경 영상을 대상으로 실험한 결과, 제안된 위암 추출 방법으로 17개가 정확히 추출되었고 3개의 내시경 영상에서는 위암 영역이 정확히 추출되지 않았다.

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