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신경근육계 질환에서 자세에 따른 폐활량의 변화 양상 비교
조동희,강성웅,박중현,유태원 대한재활의학회 2004 Annals of Rehabilitation Medicine Vol.28 No.5
Objective: To evaluate the difference in vital capacity (VC) between sitting and supine position in patients with amyotrophic lateral sclerosis (ALS) and Duchenne muscular dystrophy (DMD). Method: VC was measured in the sitting and supine position for 30 patients with DMD and for 30 patients with ALS. The highest value in three or more attempts in each position was chosen. Results: VCs measured in ALS patients in the sitting and supine position were 1591.7±634.6 ml and 1290.0±580.3 ml respectively. The VC in the sitting position showed significantly higher value than the VC in the supine position (p<0.05). VCs measured in DMD patients were 903.7±518.1 ml and 795.3±505.6 ml respectively. There was no statistically significant difference between the measurements in both positions. Conclusion: Difference in postural change of VC was observed in patients with different types of neuromuscular disorders. Such difference in VC suggest that postural change of VC should be considered in management of neuromuscular disease with respiratory muscle weakness.
위암에서 $PPAR-{\gamma}$ 발현의 임상적 의의
조동희,강성구,박상수,윤진,김일명,윤성민,이윤경,이용직,양대현,조익행,신동규,Cho, Dong-Hui,Kang, Sung-Gu,Park, Sang-Su,Yoon, Jin,Kim, Il-Myung,Yoon, Seong-Min,Lee, Yun-Kyung,Lee, Yong-Jik,Yang, Dae-Hyun,Cho, Ik-Hang,Shin, Dong-Gue 대한위암학회 2006 대한위암학회지 Vol.6 No.4
목적: 최근 Peroxisome-proliferator-activated receptors (PPAR) 의 역할에 대한 관심이 고조되고 있으나 위암에 대한 실제 임상연구는 부족한 실정이다. 이에 저자들은 위암 조직에서의 $PPAR-{\gamma}$의 발현율과 임상적 의의에 대해 분석을 시행하였다. 대상 및 방법: 2001년 1월부터 2005년 12월까지 서울의료원에서 위암으로 근치적수술을 시행 받은 128명을 대상으로 하였다. 적출된 위조직으로 만들어진 파라핀 블록을 이용해 위암조직 125예와 위암주변 정상조직 128예를 채취하여 $PPAR-{\gamma}$ 발현을 면역조직화학염색으로 확인한 후 비교 분석하였다. 결과: 대상 환자의 평균 연령은 61세였으며 남자 84명 (65.6%), 여자 44명(34.4%)으로 1.9 : 1이었다. $PPAR-{\gamma}$ 발현의 양성률은 정상조직 73/128명(57.0%)에 비하여 위암조직에서는 104/128명(81.3%)으로 유의하게 높았다(P<0.001). 위암조직의 분화도에 따른 $PPAR-{\gamma}$ 발현의 차이에서 분화도가 양호한 경우의 양성률(87.0%)에 비해 나쁜 경우 발현율(74.6%)이 낮았으나 통계적 유의성은 없었다(P=0.074). 위암조직에서와 $PPAR-{\gamma}$ 발현 유무와 생존율 사이에 통계적 유의성은 없었으나(P=0.377) 정상조직에서 $PPAR-{\gamma}$의 발현은 단변량 분석에서 유의하게 높은 생존율을 보였다(P=0.003). 5년 생존율과 연관지어 다변량 분석 통계에서 의미가 있었던 것은 UICC TNM 병기뿐이었다(P<0.001). TNM 병기별 5년 생존율은 IA-89.9%, IB-90.0%, II-89.7%, IIIA-41.0%, IIIB-25.9%, IV-14.6% 였다. 결론: 위암조직에서 정상조직에 비하여 $PPAR-{\gamma}$ 발현이 유의하게 높았으며 위암조직의 분화도가 좋을수록 발현율이 높았다. $PPAR-{\gamma}$의 정상조직 내 발현이 단변량 분석상 유의한 생존율 향상이 있었지만 다변량 분석에서는 유의성이 없어 향후 이에 대한 좀더 많은 증례로 유의성을 찾는 연구가 필요할 것으로 생각된다. Purpose: Recently, interest in peroxisome-proliferator-activated receptors (PPAR) has increased, although clinical studies of the effect of $PPAR-{\gamma}$ expression on gastric cancer have not been reported yet. In this study, we investigated the role of $PPAR-{\gamma}$ expression in gastric cancer patients. Materials and Methods: One hundred twenty-eight (128) samples of both gastric cancer and normal tissues were obtained from 128 patients who had undergone at a curative gastrectomy at Seoul Medical Center from Jan. 2001 to Dec. 2005. $PPAR-{\gamma}$ expression was determined by using immunohistochemical staining, and the results were analyzed. The statistical analysis was based on clinicopathological findings and the differences in survival rates. Results: The mean age of the patients was 6n, and the male : female ratio was 1.9 : 1. $PPAR-{\gamma}$ expression was significantly higher in cancer tissues than in normal tissue (81.3% vs. 57.0%, p<0.001). There was insignificant difference between well and moderately differentiated types and poorly differentiated types in terms of the expression of $PPAR-{\gamma}$ (87.0% vs. 74.6%, P=0.074). In the univariate analysis the survival rate was significantly increased when $PPAR-{\gamma}$ was expressed in normal tissue (P=0.003). In the multivariate analysis, only the UICC TNM staging had significance related to the survival rate. Conclusion: The rate of $PPAR-{\gamma}$ expression was higher in cancer tissue than it was in normal tissue from gastric cancer patients. In the univariate analysis, $PPAR-{\gamma}$ expression in normal tissue had significance with respect to survival, but the multivariate analysis showed no such significance. Thus, we should further evaluate more cases to determine whether or not such a significance exists.
정천화담강기탕가녹용(定喘化痰降氣湯加鹿茸)이 Xylene으로 유발된 마우스의 급성 염증에 미치는 영향
조동희,손지영,이연경,최규호,박미연,최해윤,김종대,Cho, Dong-Hee,Son, Ji-Young,Lee, Yeon-Kyeong,Choi, Kyu-Ho,Park, Mee-Yeon,Choi, Hae-Yun,Kim, Jong-Dae 대한한의학방제학회 2007 大韓韓醫學方劑學會誌 Vol.15 No.2
In the present study, the anti-inflammatory effect of "Jungcheonhwadamgangki-tang ga Antler" water extract was tested in Xylene-Application mouse ear acute inflammation model. The test articles were once dosed before Xylene-Application, and the changes on body weight and ear weights and histopathological observation of induced ear were conducted with ear histomorphometry. The obtained results were as follows. The increases of absolute and relative ear weight detected in vehicle control compared to that of sham, were significantly and dose-dependently inhibited by Jungcheonhwadamgangki-tang ga Antler in the present study. A classic acute inflammatory histological changes such as subcutaneous edema, thickness and infiltration of inflammatory cells, was detected in vehicle control. However, these histological changes were significantly and dose-dependently inhibited by Jungcheonhwadamgangki-tang ga Antler. In addition, the increases of ear thickness half and thickness full detected in the vehicle control were also dose-dependently decreased in the all Jungcheonhwadamgangki-tang ga Antler-dosing groups. Base on these results, it is concluded that Jungcheonhwadamgangki-tang ga Antler extracts has clear anti-inflammatory effect on the acute inflammation such as bronchial asthma.
SAR 이미지 반전잡음 제거 가속화를 위한 디노이징 CNN 아키텍처 개선
조동희,김태윤,이준우,장준건,김경택 한국산업경영시스템학회 2022 한국산업경영시스템학회 학술대회 Vol.2022 No.추계
Synthetic Aperture Radar (SAR) images are affected by noise called speckle, which is very severe and may hinder image exploitation. Despeckling is an important task that aims to remove such noise so as to improve the accuracy of all downstream image processing tasks. Many different schemes have been proposed for the restoration of SAR images. Among the different possible approaches, methods based on convolutional neural networks(CNNs) have recently shown to reach state-of-the-art performance for SAR image restoration. DnCNN(DeNoising Convolutional Neural Network) is one of the most widely used neural network architecture embedded in baseline SAR image despeckling methods. In military applications of SAR satellite image, fast processing is the most critical factor except the precision rate of the recognition. In this paper, we propose an improved DnCNN architecture for faster SAR image despeckling. The experimental results on real-world SAR images show that our proposed method takes faster processing time than the original DnCNN architecture without despeckling performance downgrade. Subjective visual inspection demonstrates that the proposed method has great potential in preserving the image signal details and suppressing speckle noise.