• Journal of The Korean Society of Inherited Metabolic disease
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• v.5 no.1
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• pp.108-115
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• 2005

Inherited metabolic diseases (IMD) comprise a large class of genetic diseases involving disorders of metabolism. The majorities are due to defects of single genes that code for enzymes that facilitate conversion of various substances into others. Because of the multiplicity of conditions, many different diagnostic tests are used for screening of IMD. Molecular genetic diagnosis is the detection of pathogenic mutations in DNA and/or RNA samples and is becoming a much more common practice in medicine today. The purpose of molecular genetic testing in IMD includes diagnostic testing, pre-symptomatic testing, carrier screening, prenatal diagnosis, preimplantation testing, and population screening. However, because of the complexity, difficulty in interpreting the result, and the ethical considerations, an understanding of technical, conceptual, and practical aspects of molecular genetic diagnosis is mandatory.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.485-488
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• 2002

In order to understand and quantitatively analyze the physical phenomena and behavior of each component of mammography system during the breast imaging, we simulated mammography imaging using Monte Carlo simulation codes. MCNP4B code was used for our simulation purpose, and we investigated the effect of target material, anode angle, filtration, peak voltage and exposure on the image quality of mammograms. From the simulation results we expect that optimized operation condition of mammography system can be found.

• 대한예방의학회:학술대회논문집
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• 2000.10a
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• pp.193-194
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• 2000

• Proceedings of the Korean Society of Medical Physics Conference
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• 2003.09a
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• pp.82-82
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• 2003

Introduction: With the development of dose calculation algorithms for electron beams, 3D RTP systerns are available for electron beam dose distribution commercially. However, no studies evaluated the accuracy of dose calculation with ADAC Pinnacle system for electron beams. So, the accuracy of the ADAC system is investigated by comparing electron dose distributions from ADAC system against the BEAMnrc/DOSXYZnrc. Methods: A total of 33 breast cancer patients treated with 6, 9, and 12MeV electrons in our institution was selected for this study. The first part of this study is to compare the dose distributions of measurement, TPS and the BEAMnrc/DOSXYZnrc code in flat water phantom at gantry zero position and for a 10 ${\times}$ 10 $\textrm{cm}^2$ field. The second part is to evaluate the monitor unit obtained from measurement and TPS. Adding actual breast patient's irregular blocks to the first part, monitor units to deliver 100 cGy to the dose maximum (dmax) were calculated from measurement and 3D RTP system. In addition, the dose distributions using blocks were compared between TPS and the BEAMnrc/DOSXYZnrc code. Finally, the effects of tissue inhomogeneities were studied by comparing dose distributions from Pinnacle and Monte Carlo method on CT data sets. Results: The dose distributions calculated using water phantom by the TPS and the BEAMnrc/ DOSXYZnrc code agreed well with measured data within 2% of the maximum dose. The maximum differences of monitor unit between measured and Pinnacle TPS in flat water phantom at gantry zero position were 4% for 6 MeV and 2% for 9 and 12 MeV electrons. In real-patient cases, comparison of depth doses and lateral dose profiles calculated by the Pinnacle TPS, with BEAMnrc/DOSXYZnrc code has generally shown good agreement with relative difference less than +/-3%. Discussion: For comparisons of real-patient cases, the maximum differences between the TPS and BEAMnrc/DOSXYZnrc on CT data were 10%. These discrepancies were due in part to the inaccurate dose calculation of the TPS, so that it needs to be improved properly. Conclusions: On the basis of the results presented in this study, we can conclude that the ADAC Pinnacle system for electron beams is capable of giving results absolutely comparable to those of a Monte Carlo calculation.

• Molecules and Cells
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• v.27 no.2
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• pp.237-241
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• 2009

Pathogens Burkholderia pseudomallei (Bp) and Burkholderia mallei (Bm) contain a large number (> 12,000) of Simple Sequence Repeats (SSRs). To study the extent to which these features have contributed to the diversification of genes, we have conducted comparative studies with nineteen genomes of these bacteria. We found 210 genes with characteristic types of SSR variations. SSRs with nonamer repeat units were the most abundant, followed by hexamers and trimers. Amino acids with smaller and nonpolar R-groups are preferred to be encoded by the variant SSRs, perhaps due to their minimal impacts to protein functionality. A majority of these genes appears to code for surface or secreted proteins that may directly interact with the host factors during pathogenesis or other environmental factors. There also are others that encode diverse functions in the cytoplasm, and this protein variability may reflect an extensive involvement of phase variation in survival and adaptation of these pathogens.

• Herbal Formula Science
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• v.28 no.1
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• pp.117-135
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• 2020

Objectives : Xiaochaihutang(小柴胡湯) is a famous herbal prescription in the Traditional Korean Medicine, and its components include Bupleuri Radix(柴胡), Scutellariae Radix(黃芩), Ginseng Radix(人蔘), Pinelliae Tuber(半夏), Glycyrrhizae Radix et Rhizoma(甘草), Zingiberis Rhizoma Crudus(生薑), Zizyphi Fructus(大棗). Methods : In this study, we reviewed the effects of xiaochaihutang by searching Pubmed. And we connected with Korean Standard Classification of Diseases (KCD) and the effects of xiaochaihutang. Results and Conclusion : The effects of xiaochaihutang was related with B18, C22, C34, C56, J30, J45, K70, K74, K76, F32, F33, F34, F41 as indicated by KCD. In clinics, the medical doctors almost use the KCD code for insurance. This review give us the scientific clue of Xiaochaihutang's effect in KCS system.

• Journal of dental hygiene science
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• v.16 no.2
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• pp.127-133
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• 2016

The aim of this study was to examine the geriatric status, oral health, and oral health related quality of life of stroke patients hospitalized at a rehabilitatio ward and assess the relationships among these factors. A total of 78 stroke patients participated in this cross-sectional study. The following oral examinations were performed by a dentist and dental hygienist: Decayed, Missing, Filled Teeth, gingival, debris, calculus, and community periodontal index (CPI). The patients' sociodemographic and geriatric status were evaluated using the Barthel index and a mini-mental state examine (MMSE) according to their medical record and a questionnaire survey. Oral health related quality of life was assessed using the Oral Health Impact Profile (OHIP)-14 questionnaire. Except for three participants, most stroke patients had a gingival index of 2 or more, which means probing results in bleeding gums. Additionally, 53.8% of participants had a CPI code of 3 or 4, which indicates a probing depth of 4 mm or more. CPI index was significantly related to debris, calculus, and gingival index. The OHIP-14 score significantly related to the Barthel index and MMSE (p<0.05). The oral health of stroke patients in the rehabilitation ward was relatively poor and related to poor oral hygiene. Oral health related quality of life was related not to oral health but to geriatric status significantly.

• Journal of the Korean Physical Society
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• v.73 no.12
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• pp.1814-1820
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• 2018

With the publication of TRS-483 in late 2017 the IAEA has established an international code of practice for reference dosimetry in small and non-standard fields based on a formalism first suggested by Alfonso et al. in 2008. However, data on beam quality correction factors ($k^{f_{msr},f_{ref}}_{Q_{msr},Q_0}$) for the Leksell Gamma $Knife^{(R)}$ $Perfexion^{TM}$ is scarce and what little data is available was obtained under conditions not necessarily in accordance with the IAEA's recommendations. This study constitutes the first systematic attempt to calculate those correction factors by applying the new code of practice to Monte Carlo simulation using the GEANT4 toolkit. $k^{f_{msr},f_{ref}}_{Q_{msr},Q_0}$ values were determined for three common ionization chamber detectors and five different phantom materials, with results indicating that in most phantom materials, all chambers were well suited for reference dosimetry with the Gamma $Knife^{(R)}$. Similarities and differences between the results of this study and previous ones were also analyzed and it was found that the results obtained herein were generally in good agreement with earlier PENELOPE and EGSnrc studies.

• Journal of the Korean Society of Physical Medicine
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• v.19 no.1
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• pp.143-154
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• 2024

PURPOSE: The present study was conducted to improve the understanding of the Korean Standard Functional, Disability, and Health Classification (KCF) and its ease of use in the clinical domain of the musculoskeletal system by comparing, analyzing, and linking the KCF codes with items from patient-reported outcome measures (PROMs), which are currently mainly used to evaluate patients with neck, shoulder, waist, and knee pain. METHODS: The items of the most widely used PROMs, the Neck Disability Index (NDI), Disabilities of the Arm, Shoulder, and Hand (DASH) scores, Oswestry Disability Index (ODI), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the codes of the KCF were linked by two experts according to the linking rules. RESULTS: The concordance between the items of each of the PROMs and the KCF code linked by the two experts was NDI,86.4%86.4%, DASH 83.3%, ODI 92.0%, and WOMAC 80.7%. The NDI, DASH, and WOMAC indexes were found to comprise items corresponding to physical function, activity, and participation areas, and were linked to 22, 43, and 31 KCF codes, respectively. In addition to these two areas, the ODI included items related to environmental factors and was linked to 25 codes (duplicated codes are treated as one). CONCLUSION: This research can be used by adding the KCF code to the questions of the currently used evaluation tool. This coding can be easily applied and will contribute to the easy understanding of the KCF.

• Journal of Yeungnam Medical Science
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• v.2 no.1
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• pp.183-190
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• 1985

The glucose nonfermenting gram-negative bacilli encountered about 10% of all gram-negative bacilli isolated from clinical material. Therefore, a rapid and correct identification of glucose nonfermenting gram-negative bacilli is impostent for a better management of infectious disease. There are many conventional systems for the Identification of glucose nonfermenting gram-negative bacilli but most of them have problems and difficulties. Commercial Kit Systems exist and they are too expensive for dally use 10 Korea because of high cost. Based on 12 selected tests we propose a new code system, MCRCODE-N for rapid and 10-expensive identification of glucose nonfermenting gram-negative bacilli. The selective 12 tests are oxidase, glucose oxidation motility, urease, DNase arginine dehydrolase, nitrate reduction, gelatin Liquefaction, esculin hydrolysis, mannitol oxidation, maltose oxidation, Lactose oxidation. The 12 tests are divided 4 group and then each group has 3 tests. The result of each group is expressed by the number as below. The positive test is given by specific number (1st test = 1, 2nd test = 2, 3rd test = 4), while any negative result is 0. Each 3 numbers of one group are added and make number of 1 digit. Four digit number is refered to the code book of MCRCODE-N system or MCRCODE system using computer (Apple-II model) created by authors. This MCRCODE-N system is suitable ones for our use 10 Korea. We propose the MCRCODEN-N system for clinical use.