31 research outputs found

    Measurement of maxillary sinus volume using computed tomography

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    ์น˜์˜ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์ •์ƒ์ ์ธ ์ƒ์•…๋™ ํฌ๊ธฐ์— ๊ด€ํ•œ ํ‘œ์ค€์น˜๋Š” ์ƒ์•…๋™์˜ ๋น„์ •์ƒ์  ์ƒํƒœ๋ฅผ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ๋„์›€์„ ์ฃผ๊ณ , ์ƒ์•…๋™์ด ํฌํ•จ๋œ ์™ธ๊ณผ์  ์‹œ์ˆ ์ธ ๊ฒฝ์šฐ ์ƒ์•…๊ณจ์„ ์ •ํ™•ํ•˜๊ฒŒ ์ˆ˜๋ณตํ•˜๊ณ  ์ˆ ํ›„ ๊ฒฐ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ์—๋„ ์ค‘์š”ํ•˜๋‹ค. ์ด์— ์ €์ž๋Š” 20์„ธ ์ด์ƒ ํ•œ๊ตญ์ธ ์ •์ƒ ์„ฑ์ธ ์ƒ์•…๋™์˜ ํšก๋‹จ ํญ๊ฒฝ, ์ „ํ›„ ํญ๊ฒฝ ๋ฐ ๊ณ ๊ฒฝ์„ ์ธก์ •ํ•˜์—ฌ ์ฒด์ ์„ ๊ตฌํ•œ ๋’ค ์ƒ์•…๋™ ๊ฐ๊ฐ์˜ ๊ณ„์ธก์น˜๊ฐ€ ์ƒ์•…๋™ ์ฒด์ ๊ณผ ๊ฐ–๋Š” ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ  ์„ฑ๋ณ„, ์ขŒ์šฐ๋ณ„ ์ƒ์•…๋™ ํฌ๊ธฐ์˜ ์ฐจ์ด๋ฅผ ์•Œ์•„๋ด„์œผ๋กœ์จ ํ•œ๊ตญ์ธ ์ •์ƒ ์„ฑ์ธ ์ƒ์•…๋™ ํฌ๊ธฐ์˜ ํ‘œ์ค€์น˜๋ฅผ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. 1997๋…„ 2์›”๋ถ€ํ„ฐ 1999๋…„ 7์›”๊นŒ์ง€ ์—ฐ์„ธ๋Œ€ํ•™๊ต ์น˜๊ณผ๋Œ€ํ•™๋ณ‘์› ์น˜๊ณผ๋ฐฉ์‚ฌ์„ ๊ณผ์—์„œ ์ „์‚ฐํ™”๋‹จ์ธต์‚ฌ์ง„์„ ์ดฌ์˜ํ•œ 20์„ธ ์ด์ƒ ์„ฑ์ธ ํ™˜์ž ์ค‘ ์ƒ์•…๋™๋‚ด์— ํŠน๋ณ„ํ•œ ์ฆ์ƒ์ด๋‚˜ ์ค‘๊ฒฉ(septa)์ด ์—†๊ณ , ๊ณจ์ ˆ์ด๋‚˜ ์—ผ์ฆ, ์ข…์–‘ ๋“ฑ์˜ ๋ณ‘๋ณ€๋„ ์—†์œผ๋ฉฐ, ์ž„์ƒ์ ์œผ๋กœ ์‹ฌํ•œ ๋น„๋Œ€์นญ ์†Œ๊ฒฌ์ด๋‚˜ ์•…์•ˆ๋ฉด๋ถ€์œ„ ์ˆ˜์ˆ ์„ ๋ฐ›์€ ๋ณ‘๋ ฅ์ด ์—†๋Š” 52๋ช… ํ™˜์ž(์ด ์ƒ์•…๋™ ์ˆ˜ 95๊ฐœ๋™)์˜ ์ „์‚ฐํ™”๋‹จ์ธต์‚ฌ์ง„์„ ๋Œ€์ƒ์œผ๋กœ ํ›„ํ–ฅ์ ์œผ๋กœ ๊ณ ์ฐฐ, ๋ถ„์„ํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์—ˆ๋‹ค. 1. ์ „์ฒด ์ƒ์•…๋™ ํšก๋‹จ ํญ๊ฒฝ, ์ „ํ›„ ํญ๊ฒฝ, ๊ณ ๊ฒฝ, ์ฒด์ ์˜ ํ‰๊ท ๊ฐ’์€ ๊ฐ๊ฐ 28.33 mm,39.69 mm, 46.60 mm, 21.90 cm** 3์ด์—ˆ๋‹ค. ๋„ค ๊ณ„์ธก ํ•ญ๋ชฉ ๋ชจ๋‘ ์ „๋ฐ˜์ ์œผ๋กœ ๋‚จ์ž๊ฐ€ ์—ฌ์ž์— ๋น„ํ•ด ๋‹ค์†Œ ํฐ ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ์œผ๋ฉฐ, ํญ๊ฒฝ ๋ฐ ๊ณ ๊ฒฝ์—์„œ๋Š” ์„ฑ๋ณ„๊ฐ„์— ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜์„ฑ์žˆ๋Š” ์ฐจ์ด๊ฐ€ ์—†์—ˆ์œผ๋‚˜, ์ฒด์ ์—์„œ๋Š” ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜์„ฑ์žˆ๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค(p<0.05). 2. ์ขŒ์šฐ๋ณ„ ์ฐจ์ด๋ฅผ ๋ณด๋ฉด ์ƒ์•…๋™ ์ „ํ›„ ํญ๊ฒฝ, ๊ณ ๊ฒฝ, ์ฒด์ ์—์„œ ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜์„ฑ์žˆ๋Š” ์ฐจ์ด๊ฐ€ ์—†์—ˆ์œผ๋ฉฐ, ํšก๋‹จ ํญ๊ฒฝ์—์„œ ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜์„ฑ์žˆ๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ์œผ๋‚˜(p<0.05), ๊ทธ ์ฐจ์ด์˜ ํ‰๊ท ๊ฐ’์€ 0,84 mm์˜€๋‹ค. ๋„ค ๊ณ„์ธก ํ•ญ๋ชฉ ๋ชจ๋‘ ์ขŒ์šฐ๊ฐ„์— ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜์„ฑ์žˆ๋Š” ์ƒ๊ด€ ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค(p<0.0001). 3. ์ƒ์•…๋™์˜ ํšก๋‹จ ํญ๊ฒฝ, ์ „ํ›„ ํญ๊ฒฝ, ๊ณ ๊ฒฝ์€ ๋ชจ๋‘ ์ƒ์•…๋™์˜ ์ฒด์ ๊ณผ ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜์„ฑ์žˆ๋Š” ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค(p<0.0001). ๊ฒฐ๋ก ์ ์œผ๋กœ ํ•œ๊ตญ์ธ ์ •์ƒ ์„ฑ์ธ์˜ ์ƒ์•…๋™์€ ์„ฑ๋ณ„๊ฐ„์—๋Š” ์ „๋ฐ˜์ ์œผ๋กœ ๋‚จ์ž๊ฐ€ ์—ฌ์ž์— ๋น„ํ•ด ๋‹ค์†Œ ํฐ ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ๊ณ , ์ขŒ์šฐ๊ฐ„์—๋Š” ํšก๋‹จ ํญ๊ฒฝ์„ ์ œ์™ธํ•˜๊ณ  ๋ชจ๋“  ๊ณ„์ธก์น˜์—์„œ ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜์„ฑ์žˆ๋Š” ์ฐจ์ด๊ฐ€ ์—†์—ˆ์œผ๋ฉฐ, ๋„ค ๊ณ„์ธก์น˜ ๋ชจ๋‘ ์ขŒ์šฐ๊ฐ„์— ์œ ์˜์„ฑ์žˆ๋Š” ์ƒ๊ด€ ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ํŽธ์ธก์œผ๋กœ ์ƒ์•…๋™์˜ ๊ณผ์„ฑ์žฅ์ด๋‚˜ ์—ด์„ฑ์žฅ์ด ๊ด€์ฐฐ๋œ๋‹ค๋ฉด ์ƒ์•…๋™ ํฌ๊ธฐ์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ์–ด๋–ค ์ƒ์•…๋™ ๋ณ‘๋ณ€์ด๋‚˜ ๋ฐœ์œก์„ฑ ์ด์ƒ์„ ์ƒ๊ฐํ•ด ๋ณผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ๋˜ํ•œ ์ƒ์•…๋™ ์ฒด์ ๊ณผ ๋‚˜๋จธ์ง€ ์„ธ ๊ณ„์ธก์น˜๊ฐ„์— ๊ฐ๊ฐ ์œ ์˜์„ฑ์žˆ๋Š” ์ƒ๊ด€ ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ์œผ๋ฏ€๋กœ ์ƒ์•…๋™ ํญ๊ฒฝ ๋ฐ ๊ณ ๊ฒฝ์ด ํฌ๋ฉด ์ฒด์ ๋„ ํด ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. [์˜๋ฌธ] A standard value for the size of the normal maxillary sinus is important to evaluate the state of the maxillary sinus, as well as to precisely reduce the maxilla and to evaluate the results of an operation involving the maxillary sinus. This study was carried out to propose a standard value for the maxillary sinus volume of a normal Korean adult by measuring the width and height of the sinus and analyzing their correlation with the sinus volume and the difference of the maxillary sinus size respectively between sex, and on the right and left sides. Fifty-two patients(a total of 95 maxillary sinuses) out of adult patients aged 20 years or over who had taken CT in the Department of Dental Radiology, Yonsei University, Dental Hospital, between February 1997 and July 1999 who were without specific symptom, prominent bony septa, fracture, inflammation, tumor, clinical asymmetry and no history of orthognathic surgery were retrospectively analyzed. The results were as follows : 1. The mean transverse width, antero-posterior width, height and volume of the normal Korean adult's maxillary sinuses were 28.33 mm, 39.69 mm, 46.60mm and 21.90 cm**3, respectively. In all four measurements, the mean values in males were larger than in females. There were no significant sex differences in the mean width and height. However, in the mean volume, a significant difference was observed between the sex(p<0.05). 2. In the mean antero-posterior width, height and volume of the maxillary sinus, no significant difference was observed between the right and left side. In the mean transverse width, however, a significant difference was observed(p<0.05), but the mean difference between the two sides was 0.84mm. All four measurements showed a significant correlation between the right and left sides(p<0.0001), 3. The widths and height of the maxillary sinus all showed a significant correlation with the sinus volume(p<0.0001). Conclusively, in the Korean normal adult's maxillary sinus, males tended to be larger than females. Except far the transverse width, all of the measurements showed no significant difference between the right and left side, but significant correlations in the four measurements between both sides were observed. Thus, the overgrowth or undergrowth in the unilateral maxillary sinus may suggest a certain pathosis or developmental abnormalities in the maxillary sinus. Also there were a number of significant correlations between the width, height and volume of the maxillary sinus. So, we can expect that maxillary sinus volume is also large if the width and height are large.ope

    ๊ด‘์ž๊ทน๋ฐœ๊ด‘์„ ๋Ÿ‰๊ณ„(OSLD)์ธก์ •๋ฒ•๊ณผ ๋ชฌํ…Œ์นด๋ฅผ๋กœ ์‚ฐ์ถœ๋ฒ•(MC)์— ์˜ํ•œ ์ฝ˜๋น”์‹œํ‹ฐ์˜ ์œ ํšจ์„ ๋Ÿ‰ ํ‰๊ฐ€

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    ์น˜์˜ํ•™์ „๋ฌธ๋Œ€ํ•™์›Objective: The aim of this study was to evaluate the effective dose of three different cone beam computed tomography (CBCT) units with optically stimulated luminescence dosimeters (OSLD). Also, this dosimetric measurement method was compared with Monte Carlo (MC) simulation in Alphard 3030 CBCT unit. Through the measurement process and obtained value, more practical and efficient method in acquiring the effective dose of a CBCT would be suggested. Materials and Methods: Twenty-two optically stimulated luminescence dosimeters (OSLD) were calibrated and equipped in human anthropomorphic phantom of head and neck. The phantom with dosimetry was exposed respectively with C, P and I modes of Alphard 3030 (Asahi Roentgen Ind., Co. Ltd, Kyoto, Japan); Large Jaw and Jaw modes of RAYSCAN ฮฑ+ (Ray Co. Ltd, Hwaseong-si, Korea); Facial and Dual Jaw modes of CS9300 (Carestream Dental LLC, Atlanta, Georgia). Dose recorded in dosimetry was obtained and organ dose as well as effective dose were obtained in each examination mode of 3 CBCT units. The organ and effective dose were also obtained with MC simulation on three examination modes of Alphard 3030 CBCT unit. For MC simulation, PCXMC software (STUK, Helsinki, Finland) was used and dose-area-product (DAP) value was measured with DAP meter. Results: The effective dose was the highest in C mode, Alphard 3030 and the lowest in Dual jaw mode, CS9300. When comparing the 10 x10 cm FOV mode of all 3 CBCT units, the effective dose was higher in order of Alphard 3030 (258.8 ยตSv), RAYSCAN ฮฑ+ (213.8 ยตSv), and CS9300 (90.7 ยตSv). The organ dose was the highest in salivary gland and the lowest in bone marrow in the same FOV mode of 3 CBCT units. When compared the result of OSLD in Alphard 3030 with MC simulation, percent difference of the effective dose was 9.8~23.4%. Overall organ dose distribution was consistent in all different examination modes of Alphard 3030 CBCT unit. Conclusion: The effective dose showed tendency of increasing as FOV increased regardless of the CBCT model. In addition, the effective dose varies depending on several other factors such as exposure conditions and geometry of the CBCT, thus the effective dose of various equipment should be examined in the future. Also, MC simulation is expected to be convenient assessment method because it was similar to the OSLD measured value according to the examination modes. ๋ชฉ์ : ๊ด‘์ž๊ทน๋ฐœ๊ด‘์„ ๋Ÿ‰๊ณ„(OSLD)๋ฅผ ์ด์šฉํ•˜์—ฌ ์„ธ ์ข…๋ฅ˜์˜ ์ฝ˜๋น”์‹œํ‹ฐ์—์„œ ์œ ํšจ์„ ๋Ÿ‰์„ ์ธก์ •ํ•˜๊ณ , Alphard 3030 ์ฝ˜๋น”์‹œํ‹ฐ์—์„œ OSLD ์ธก์ •๊ฐ’๊ณผ ๋ชฌํ…Œ์นด๋ฅผ๋กœ(MC) ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‚ฐ์ถœ๊ฐ’์„ ๋น„๊ตํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ฝ˜๋น”์‹œํ‹ฐ ์œ ํšจ์„ ๋Ÿ‰์„ ํš๋“ํ•˜๊ธฐ ์œ„ํ•œ ๋ณด๋‹ค ์‹ค์šฉ์ ์ด๊ณ  ํšจ์œจ์ ์ธ ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜๊ณ ์ž ํ•œ๋‹ค. ์žฌ๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ•: ์ดˆ๊ธฐ ๋ณด์ •์„ ๊ฑฐ์นœ 22๊ฐœ์˜ OSLD๋ฅผ ์„ฑ์ธ ๋‘๊ฒฝ๋ถ€๋ฅผ ์žฌํ˜„ํ•œ ATOM (CIRS, Norfolk, VA) ํŒฌํ…€์˜ ์ •ํ•ด์ง„ ์œ„์น˜์— ๊ฐ๊ฐ ์‚ฝ์ž…ํ•˜์˜€๋‹ค. ์ค€๋น„๋œ ํŒฌํ…€์„ ์„ธ ์ข…๋ฅ˜์˜ ์ฝ˜๋น”์‹œํ‹ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ œ์กฐ์‚ฌ๊ฐ€ ์ œ์‹œํ•œ ๋…ธ์ถœ์กฐ๊ฑด์œผ๋กœ ์ดฌ์˜ํ•˜์˜€๋‹ค. Alphard 3030 ์ฝ˜๋น”์‹œํ‹ฐ(Asahi Roentgen Ind., Co. Ltd, Kyoto, Japan)์—์„œ C, P, I 3๊ฐ€์ง€ ๋ชจ๋“œ, RAYSCAN ฮฑ+ ์ฝ˜๋น”์‹œํ‹ฐ(Ray Co. Ltd, Hwaseong-si, Korea)์—์„œ Large jaw, jaw 2๊ฐ€์ง€ ๋ชจ๋“œ, CS9300 ์ฝ˜๋น”์‹œํ‹ฐ(Carestream Dental LLC, Atlanta, Georgia)์—์„œ Facial, Dual jaw 2๊ฐ€์ง€ ๋ชจ๋“œ๋กœ ๊ฐ๊ฐ ์ดฌ์˜ํ•˜์˜€๋‹ค. ๋ชจ๋“œ ๋ณ„๋กœ OSLD ์ธก์ •๊ฐ’์„ ์–ป๊ณ , ์žฅ๊ธฐ ํก์ˆ˜์„ ๋Ÿ‰๊ณผ ์œ ํšจ์„ ๋Ÿ‰์„ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ๋˜ํ•œ Alphard 3030์˜ 3๊ฐ€์ง€ ๋ชจ๋“œ์—์„œ๋Š” ์„ ๋Ÿ‰๋ฉด์ ๊ณฑ์ธก์ •๊ณ„ DAP meter (VacuDAPTM; VacuTec MeรŸtechnik GmbH, Dresden, Germany)๋กœ ๋…ธ์ถœ์„ ๋Ÿ‰์„ ์ธก์ •ํ•˜์˜€๋‹ค. ์ด ๊ฐ’์„ ํ†ตํ•ด PCXMC ์†Œํ”„ํŠธ์›จ์–ด(STUK, Helsinki, Finland)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ชฌํ…Œ์นด๋ฅผ๋กœ ์‚ฐ์ถœ๋ฒ•์œผ๋กœ ์žฅ๊ธฐ ํก์ˆ˜์„ ๋Ÿ‰๊ณผ ์œ ํšจ์„ ๋Ÿ‰์„ ํš๋“ํ•˜์˜€๋‹ค. OSLD์™€ MC ๋‘ ๋ฐฉ๋ฒ• ๊ฐ„์˜ ์œ ํšจ์„ ๋Ÿ‰ ์ฐจ์ด๋ฅผ % ์˜ค์ฐจ๋กœ ๋น„๊ตํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ: OSLD๋กœ ์ธก์ •ํ•œ ์œ ํšจ์„ ๋Ÿ‰์€ Alphard 3030 C ๋ชจ๋“œ์—์„œ ๊ฐ€์žฅ ๋†’์•˜๊ณ  (599.0 ยตSv), CS 9300 Dual jaw ๋ชจ๋“œ์—์„œ ๊ฐ€์žฅ ๋‚ฎ์•˜๋‹ค (90.7 ยตSv). ์กฐ์‚ฌ์•ผ ํฌ๊ธฐ๊ฐ€ 10ร—10 cm์œผ๋กœ ๋™์ผํ•œ ๋ชจ๋“œ ๊ฐ„์˜ ์œ ํšจ์„ ๋Ÿ‰์„ ๋น„๊ตํ•˜๋ฉด Alphard 3030 (258.8 ยตSv), RAYSCAN ฮฑ+ (213.8 ยตSv), CS9300 (90.7 ยตSv) ์ˆœ์„œ๋Œ€๋กœ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์žฅ๊ธฐ๋ณ„ ํก์ˆ˜์„ ๋Ÿ‰์€ ์ฝ˜๋น”์‹œํ‹ฐ์˜ ์ข…๋ฅ˜์™€ ์ƒ๊ด€์—†์ด ํƒ€์•ก์„ ์—์„œ ๊ฐ€์žฅ ๋†’์•˜๊ณ , ๊ณจ์ˆ˜์—์„œ ๊ฐ€์žฅ ๋‚ฎ์•˜๋‹ค. Alphard 3030 ์ฝ˜๋น”์‹œํ‹ฐ์˜ OSLD ์ธก์ •๊ฐ’๊ณผ MC ์‚ฐ์ถœ๊ฐ’์„ ๋น„๊ตํ•ด๋ณด๋ฉด, ์œ ํšจ์„ ๋Ÿ‰์˜ ๋‘ ๋ฐฉ๋ฒ• ๊ฐ„ ํผ์„ผํŠธ ์˜ค์ฐจ๋Š” 9.8~23.4 %๋ฅผ ๋ณด์˜€๋‹ค. ๋‘ ๋ฐฉ๋ฒ• ๊ฐ„์˜ ์žฅ๊ธฐ๋ณ„ ํก์ˆ˜์„ ๋Ÿ‰์˜ ์ „๋ฐ˜์ ์ธ ๋ถ„ํฌ๋Š” Alphard 3030 ์ฝ˜๋น”์‹œํ‹ฐ์˜ ๊ฒ€์‚ฌ ๋ชจ๋“œ์™€ ์ƒ๊ด€์—†์ด ๋น„์Šทํ•œ ์–‘์ƒ์„ ๋ณด์˜€๋‹ค. ๊ฒฐ๋ก : MC ์‚ฐ์ถœ๊ฐ’์€ ๊ฒ€์‚ฌ ๋ชจ๋“œ์— ๋”ฐ๋ฅธ OSLD ์ธก์ •๊ฐ’๊ณผ ์œ ์‚ฌํ•œ ์ˆ˜์ค€์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€๋‹ค. ๋”ฐ๋ผ์„œ MC ์‚ฐ์ถœ๋ฒ•์€ ์ž„์ƒ์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ํŽธ๋ฆฌํ•œ ๋ฐฉ์‚ฌ์„ ๋Ÿ‰์ธก์ • ๋ฐฉ๋ฒ•์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ์ค‘์‹ฌ๋‹จ์–ด: ๋ชฌํ…Œ์นด๋ฅผ๋กœ๋ฐฉ๋ฒ•, ์„ ๋Ÿ‰์ธก์ •๋ฒ•, ์ฝ˜๋น”์‹œํ‹ฐ, ๊ด‘์ž๊ทน๋ฐœ๊ด‘์„ ๋Ÿ‰๊ณ„open๋ฐ•

    ๊ณ ๊ฐ•๋„๊ฐ• ํœจ ๋ถ€์žฌ์˜ ๋น„ํƒ„์„ฑ ํšก๋น„ํ‹€๋ฆผ์ขŒ๊ตด ๊ฑฐ๋™

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฑด์ถ•ํ•™๊ณผ, 2015. 2. ์ด์ฒ ํ˜ธ.This research focuses on the inelastic behavior of structural I-shaped members fabricated from 800MPa high strength steel (HSA800). HSA800, a new generation of high performance steel, produced by thermo-mechanical controlling (TMC) process, has the advantages to acquire the high strength as well high toughness and relatively low carbon equivalent value (CEV). Due to these features, the high strength steel has attracted considerable attention in the construction industry for its use in new structural applications with the help of the appropriate design and fabrication methods. However, due to the lack of sufficient research on the effects of the different post-yield range characteristics of the high strength steel to the structural behavior, the current code directly or indirectly restricts high strength steel by adopting limiting parameters such upper yield strength limit, upper yield-to-tensile (Y/T) strength ratio limit or a certain level of ductility capacity (rotation capacity). The primary target of this research is to experimentally and analytically quantify the effects of the post-yield range characteristics of mild and high strength steel on I-shaped flexural members. In addition, this study attempts to establish a methodology to provide adequate slenderness ratios to ensure inelastic lateral torsional buckling (LTB) strength and a certain level of rotation capacity, related to the existing AISC-LRFD specification and EC 3 code. This work consists of four major sections: stress-strain curve idealizations, estimation of in-plane rotation capacities, and analytical and experimental studies of inelastic LTB behaviors. In the stress-strain curve idealizations, tensile coupons of HSA800, SM570, and SM490 plates are tested and statistical regression curves were proposed to predict the Y/T strength ratio and tensile-to-yield (T/Y) strain ratio according to yield strength, which are pivotal values to idealize the initial portion of the stress-strain curve up to tensile strength. Four idealized material models (the traditional model (#1) and the Haaijer model (#2) for mild steelthe Ramberg-Osgood model (#3) for high strength steeland the Piecewise linear model (#4) for both steel grades) with properly assumed parameter values are suggested and numerically verified with the tensile coupon data. In the estimation of in-plane rotation capacities, a simplified method is proposed to calculate the in-plane rotation capacity at maximum moment of HSA800, SM570, and SM490 I-shaped members under uniform and moment gradient loading conditions by adopting the piecewise linear models. Under uniform moment loading condition, the in-plane rotation capacity is directly proportional to the T/Y strain ratio. On the other hand, at the moment gradient loading condition, three parameters including Y/T strength ratio, T/Y strain ratio, and yield plateau length together influence on the in-plane rotation capacity. Due to high Y/T strength ratio and low T/Y strain ratio of HSA800, the in-plane rotation capacity of HSA800 I-shaped member is inevitably low as compared to other grades (SM570 and SM490) of steel under moment gradient loading condition. Parametric studies were conducted to increase the rotation capacity level of the HSA800 I-shaped member under the moment gradient condition, demonstrating that lowering the Y/T strength ratio to 0.80 levels only does not ensure the satisfactory rotation capacity of the existing AISC-LRFD specification assumedthe increase of T/Y strain ratios is thus inevitably required. In the analytical studies of inelastic LTB behaviors, the methods to quantify the inelastic section stiffness (effective flexural, warping, and torsional rigidities of I-shaped member fabricated from mild and high strength steel), including the presence of the residual stresses, are proposed by applying the tangent modulus theories. This inelastic section stiffness is crucial to develop the LTB strength and rotation capacity curves of the I-shaped member under uniform and moment gradient loadings. After verifications of the derived strength and rotation capacity curves in current studies with the previous experimental data, parametric studies are conducted to evaluate the geometrical and material effects on the LTB capacity of I-shaped member. By comparing the results of the parametric models with the existing unbraced length limits specified in AISC-LRFD specifications, a methodology to design appropriate I-section geometry depending on the material selection of I-shaped member is proposed. In the experimental studies, three types of welded I-shaped specimens (type A-[G:H-250x150x15x15]-[M:Ho-775], type B-[G:H-400x150x15x15]-[M:Ho-775], and type C-[G:H-400x150x15x15]-[M:Hy-349-822], where [G:] indicates the cross section geometry[M:Ho] and [M:Hy] indicates the homogeneous and hybrid I-section respectively) were fabricated and tested under uniform moment to examine the geometrical and material effects of the I-section on LTB behaviors. All specimens failed by LTB, triggering a sinusoidal shape failure mode. The measured critical buckling strength and rotation capacity of both type A and type C specimens, where the effective section rigidities to plastic moment ratio are relatively high, satisfy the existing AISC-LRFD specification and EC 3 code. However, type B specimens, where a high height-to-width ratio is applied or the effective section rigidities to plastic moment ratio are relatively low, the current AISC-LRFD unbraced length limit would not give conservative rotation capacity values. By comparing the experimental data with the analytically developed buckling curves, it is shown that the curves well predict experimental LTB strength and rotation capacity values.Chapter 1. Introduction 1.1 Background 1.1.1 Production and mechanical properties of high strength steel 1.1.2 Specified limitation on high strength steels in building codes 1.2 Brief review of influence of post-yield range properties on member behavior 1.2.1 Post-yield range properties 1.2.2 In-plane behavior 1.2.3 Out-of-plane behavior 1.3 Limitation of recent studies and object of this study 1.3.1 Limitation of traditional stress-strain model to apply in high strength steel 1.3.2 Limitation of up-to-date theoretical and experimental researches 1.3.3 Objective of this study 1.4 Scope of work 1.4.1 Background 1.4.2 Development of analytical LTB model for I-shaped members 1.4.3 Development of LTB strength curve for homogeneous I-shaped member 1.4.4 Development of available rotation capacity curve for homogeneous I-shaped member 1.4.5 Development of LTB strength and rotation capacity curves for hybrid I-shaped member 1.5 Methodology 1.5.1 Experimental work 1.5.2 Theoretical work 1.6 Relevance of current studies 1.7 Summary Chapter 2. Previous Researches 2.1 Introduction 2.1.1 Major buckling phenomenon and the significance of uncoupling approach 2.1.2 Rotation capacity under uniform moment and moment gradient 2.2 Experimental studies of inelastic LTB behavior 2.2.1 Rotation capacity of I-beam under uniform moment 2.2.2 Rotation capacity of I-beam under moment gradient 2.3 Analytical studies of inelastic LTB behavior 2.3.1 I-Beams under uniform moment 2.3.2 I-Beams under moment gradient 2.4. Summary Chapter 3. Idealized Material Models and In-plane Rotation Capacity 3.1 Characteristics of stress-strain curves 3.1.1 Y/T strength ratio according to yield strength 3.1.2 T/Y strain ratio according to yield strength 3.2 Idealized material models 3.2.1 Traditional model 3.2.2 Haaijer model 3.2.3 Ramberg-Osgood model 3.2.4 Piecewise-linear model (Tri-linear, Bi-linear) 3.3 In-plane rotation capacity 3.3.1 Overview and assumption 3.3.2 In-plane rotation capacity at member maximum moment 3.4 Summary Chapter 4. Analytical Studies of Inelastic LTB Behaviors 4.1 Derivation of inelastic section rigidities for analyzing inelastic buckling 4.1.1 Tangent modulus theory and its application 4.1.2 Inelastic section rigidities in ideal I-section 4.1.3 Residual stress in I-section 4.1.4 Effects of residual stresses on inelastic section rigidities of I-beam 4.1.5 Summary 4.2 LTB strength under uniform moment 4.2.1 Overview of LTB under uniform moment 4.2.2 Analytical parametric studies 4.2.3 Detailed approach to derive unbraced length limit for achieving plastic moment 4.2.4 Simplified approach to derive unbraced length limit for achieving plastic moment 4.2.5 Summary 4.3 Available rotation capacities (governed by LTB) under uniform moment 4.3.1 Description of the behavior 4.3.2 Derivation of rotation capacity curve under uniform moment via inelastic section rigidities 4.3.3 Validation of the analytically developed rotation capacity curve with previous experiments 4.3.4 Analytical parameter studies 4.3.5 Detailed approach to derive unbraced length limit for target rotation capacity 4.3.6 Simplified approach to derive unbraced length limit for target rotation capacity 4.3.7 Summary 4.4 LTB strength under moment gradient 4.4.1 Overview of LTB under moment gradient 4.4.2 Simplified T-column approach to derive unbraced length limit for achieving plastic moment 4.4.3 Summary 4.5 Available rotation capacitys under moment gradient 4.5.1 Description of the behavior 4.5.2 Derivation of rotation capacity curve under moment gradient via inelastic section rigidities 4.5.3 Simplified T-column approach to derive unbraced length limit for target rotation capacity 4.5.4 Summary Chapter 5. Experimental Buckling Studies 5.1 Overview of the experimental study 5.1.1 Mechanical properties 5.1.2 Instrumentation plan for measurement 5.1.3 Data processing method 5.1.4 Description of test parameter 5.2 Experimental test results 5.2.1 Specimen Type A: [G:H-250x150x15x15]-[M:H0-775] 5.2.2 Specimen Type B: [G:H-400x150x15x15]-[M:H0-775] 5.2.3 Specimen Type C: [G:H-350x150x30x25]-[M:Hy-349-827] 5.3 Evaluation of the experimental results 5.3.1 Comparison with the code prediction 5.3.2 Comparison with the previous experiments 5.3.3 Comparison with the analytically developed buckling curves 5.4 Summary Chapter 6. Conclusions ReferencesDocto

    ๋‹ค์–‘ํ•œ ์•”์ข…์—์„œ ๋ฉ”ํ‹ธํ™” ๋ณ€์ด ์ •๋„์™€ ์ข…์–‘ ๋ฉด์—ญ์›์„ฑ ์‚ฌ์ด ์ƒ๊ด€๊ด€๊ณ„์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์˜๊ณผ๋Œ€ํ•™ ์˜ํ•™๊ณผ,2020. 2. ๊น€๋™์™„.While genomic alterations in tumors, such as somatic mutations or somatic chromosomal instability, have been reported as reliable biomarkers in immune-oncology, associations between the methylation landscape and tumor immunogenicity is unknown. I sought to find biomarker related to methylation to represent tumor immunogenicity. I used The Cancer Genome Atlas (TCGA) pan-cancer database (N~8,000) to define methylation burden (MetB) as the number of hypermethylated or hypomethylated CpG sites to represent the degree of aberrant methylation. I comprehensively investigated the association of MetB with cytolytic activity score, calculated by mean of GZMA and PRF1 expression levels, and other various genomic profiles. The degree of methylation aberrancy correlated with methylation subtypes defined in previous literatures. It also showed negative correlation expression of molecules coordinating immune recognition of tumors. The pan-cancer analysis showed that MetB was negatively correlated with cytolytic activity score (ฯ = -0.37, p < 0.001), independent of mutation burden and chromosomal instability. The negative correlation was consistent in the external cohort of lung adenocarcinoma and low grade glioma (Spearman ฯ = -0.41, p < 0.001 and ฯ = -0.34, p = 0.014, respectively). MetB also had negative correlation with interferon-gamma signatures and was lower in highly immunogenic subtypes of immune landscape. Furthermore, patients with bottom 20% MetB showed longer progression free survival to ipilimumab in TCGA melanoma patients (p = 0.029). These findings emphasize the importance of methylation aberrancy for tumors to evade immune surveillance and warrant further development of methylation biomarker.์ฒด์„ธํฌ ๋Œ์—ฐ๋ณ€์ด ๋˜๋Š” ์ฒด์„ธํฌ ์—ผ์ƒ‰์ฒด ๋ถˆ์•ˆ์ •์„ฑ๊ณผ ๊ฐ™์€ ์ข…์–‘์—์„œ์˜ ์œ ์ „์ž ๋ณ€์ด๊ฐ€ ์ข…์–‘๋ฉด์—ญ์น˜๋ฃŒ์—์„œ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ”์ด์˜ค๋งˆ์ปค๋กœ ๋ณด๊ณ ๋˜์–ด ์žˆ์ง€๋งŒ, ์œ ์ „์ž ๋ฉ”ํ‹ธํ™”์˜ ๋ณ€ํ™”์™€ ์ข…์–‘ ๋ฉด์—ญ์›์„ฑ ์‚ฌ์ด์˜ ์—ฐ๊ด€์„ฑ์€ ์•Œ๋ ค์ ธ ์žˆ์ง€ ์•Š๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ข…์–‘ ๋ฉด์—ญ์›์„ฑ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๋ฉ”ํ‹ธํ™”์™€ ๊ด€๋ จ๋œ ๋ฐ”์ด์˜ค๋งˆ์ปค๋ฅผ ์ฐพ๊ณ ์ž ํ•œ๋‹ค. TCGA (The Cancer Genome Atlas)์˜ ์•ฝ 8000์—ฌ๊ฐœ์— ๋‹ฌํ•˜๋Š” ์ „์ฒด ์•”์ข… ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ํ™œ์šฉํ•˜์—ฌ, ๋ฉ”ํ‹ธํ™” ๋ณ€์ด ์ •๋„๋ฅผ ๊ฒ€์ฒด๊ฐ€ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ณผ ๋ฉ”ํ‹ธํ™” ํ˜น์€ ์ € ๋ฉ”ํ‹ธํ™” ๋œ CpG ๋ถ€์œ„์˜ ์ˆ˜๋กœ ์ •์˜ํ•˜์˜€๋‹ค. ์ด๋ ‡๊ฒŒ ์ •์˜๋œ ๋ฉ”ํ‹ธํ™” ๋ณ€์ด ์ •๋„์™€ GZMA์™€ PRF1 ์œ ์ „์ž์˜ ๋ฐœํ˜„์˜ ํ‰๊ท ๊ฐ’์ธ ์„ธํฌ ์šฉํ•ดํ™œ์„ฑ๋„๋ฅผ ๋น„๋กฏํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์ข…์–‘ ๋ฉด์—ญ์›์„ฑ๊ณผ์˜ ์—ฐ๊ด€์„ฑ์„ ํฌ๊ด„์ ์œผ๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๋ฉ”ํ‹ธํ™” ๋ณ€์ด ์ •๋„๋Š” ๊ธฐ์กด์˜ ๋ฌธํ—Œ์— ์ •์˜๋˜์—ˆ๋˜ ๋ฉ”ํ‹ธํ™” ๋ถ„๋ฅ˜์™€ ๊ด€๋ จ์„ฑ์ด ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ์ข…์–‘ ๋ฉด์—ญ ์ธ์‹์— ๊ด€์—ฌํ•˜๋Š” ๋ถ„์ž์˜ ๋ฐœํ˜„๊ณผ ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ๋Š” ๊ฒƒ๋„ ํ™•์ธํ•˜์˜€๋‹ค. ์ „์ฒด ์•”์ข… ๋ถ„์„์„ ํ•˜์˜€์„ ๋•Œ, ๋ฉ”ํ‹ธํ™” ๋ณ€์ด ์ •๋„๋Š” ์„ธํฌ ์šฉํ•ดํ™œ์„ฑ๋„์™€ ์Œ์˜ ์ƒ๊ด€ ๊ด€๊ณ„(ฯ = -0.37, p <0.001)๊ฐ€ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๊ณ , ์ด๋Š” ์ฒด์„ธํฌ ๋Œ์—ฐ๋ณ€์ด ๊ฐœ์ˆ˜ ๋ฐ ์—ผ์ƒ‰์ฒด ๋ถˆ์•ˆ์ •์„ฑ๊ณผ ๋…๋ฆฝ์ ์œผ๋กœ ์—ฐ๊ด€์ด ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์Œ์˜ ์ƒ๊ด€ ๊ด€๊ณ„๋Š” TCGA ์ด์™ธ์— ํ์„ ์•”์ข… ๋ฐ ์ €๋“ฑ๊ธ‰ ๋‡Œ๊ต์ข…์œผ๋กœ ๊ฐ๊ฐ ๊ตฌ์„ฑ๋œ ์™ธ๋ถ€ ์ฝ”ํ˜ธํŠธ์—์„œ๋„ ํ™•์ธ๋˜์—ˆ๋‹ค (ฯ = -0.41, p <0.001 ๋ฐ ฯ = -0.34, p = 0.014). ๋ฉ”ํ‹ธํ™” ๋ณ€์ด ์ •๋„๋Š” ๋˜ํ•œ ์ธํ„ฐํŽ˜๋ก  ๊ฐ๋งˆ ์œ ์ „์ž ์‹œ๊ทธ๋‹ˆ์ฒ˜์™€ ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ๋ฉด์—ญ์›์„ฑ์ด ๋†’์€ ์•„ํ˜•์—์„œ ๋” ๋‚ฎ์€ ๊ฒƒ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, TCGA ํ‘์ƒ‰์ข… ํ™˜์ž ์ค‘ ์ดํ•„๋ฆฌ๋ฌด๋ง™ ๋ฉด์—ญ์น˜๋ฃŒ๋ฅผ ๋ฐ›์€ ํ™˜์ž๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ๋ณด์•˜์„ ๋•Œ, ํ•˜์œ„ 20%์˜ ๋ฉ”ํ‹ธํ™” ๋ณ€์ด๋ฅผ ๊ฐ–๋Š” ํ™˜์ž๋“ค์—์„œ ๋” ๊ธด ๋ฌด์งˆ๋ณ‘์ง„ํ–‰์ƒ์กด์„ ๋ณด์˜€๋‹ค (p = 0.029). ๊ทธ๋ฆฌ๊ณ  ๋ฉด์—ญ ๋ฐ˜์‘๊ณผ ๊ด€๋ จ๋œ ์œ ์ „์ž ํ”„๋กœ๋ชจํ„ฐ์˜ ๊ณผ ๋ฉ”ํ‹ธํ™” ๋ฐ ์ € ๋ฉ”ํ‹ธํ™”๋Š” ์„ธํฌ ์šฉํ•ดํ™œ์„ฑ์ ์ˆ˜์— ์œ ์˜ํ•˜๊ฒŒ ์˜ํ–ฅ์„ ๋ฏธ์ณค๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์ข…์–‘์˜ ๋ฉ”ํ‹ธํ™” ๋ณ€์ด ์ •๋„๊ฐ€ ์ข…์–‘์˜ ๋ฉด์—ญ ํšŒํ”ผ์— ์ค‘์š”ํ•˜๋‹ค๋Š” ๊ฒƒ์„ ๊ฐ•์กฐํ•˜๋ฉฐ, ์ฐจํ›„ ์ด์™€ ๊ด€๋ จ๋œ ๋ฐ”์ด์˜ค๋งˆ์ปค์˜ ๊ฐœ๋ฐœ์ด ํ•„์š”ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค.Abstract 1 List of Figures 5 List of Tables 7 Introduction 8 Results 10 Defining the degree of methylation aberrancy and its correlation with methylation subtypes 10 Hypermethylation in promoter of CD274 (PD-L1) and human leukocyte antigen correlates decreased corresponding RNA expression 14 Negative correlation of methylation burden with immunogenicity in the tumor microenvironment 21 Methylation aberration in addition to mutation burden and copy number alterations predicting immunogenicity 36 Selection of CpG sites to assess potential of methylation aberrancy as a biomarker 39 Discussion 41 Conclusion 44 Methods 45 Dataset acquisition 45 Determining ฮฒ-score cutoffs and definition of methylation burden 46 Promoter methylation status and expression determination 47 Genomic profile definition 47 Selection of CpG sites 48 Statistical analysis 48 References 50 ์ดˆ๋ก 57Maste

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