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이지원,정연주,이지원,이남경,이혜원,김진유,최범성,추기석 대한영상의학회 2017 Korean Journal of Radiology Vol.18 No.4
Objective: To evaluate the utility of cardiovascular magnetic resonance (CMR)-derived myocardial strain measurement for the prediction of poor outcomes in patients with acute myocarditis. Materials and Methods: We retrospectively analyzed data from 37 patients with acute myocarditis who underwent CMR. Left ventricular (LV) size, LV mass index, ejection fraction and presence of myocardial late gadolinium enhancement (LGE) were analyzed. LV circumferential strain (EccSAX), radial strain (ErrSAX) from mid-ventricular level short-axis cine views and LV longitudinal strain (EllLV), radial strain (ErrLax) measurements from 2-chamber long-axis views were obtained. In total, 31 of 37 patients (83.8%) underwent follow-up echocardiography. The primary outcome was major adverse cardiovascular event (MACE). Incomplete LV functional recovery was a secondary outcome. Results: During an average follow-up of 41 months, 11 of 37 patients (29.7%) experienced MACE. Multivariable Cox proportional hazard regression analysis, which included LV mass index, LV ejection fraction, the presence of LGE, EccSAX, ErrSAX, EllLV, and ErrLax values, indicated that the presence of LGE (hazard ratio, 42.88; p = 0.014), together with ErrLax (hazard ratio, 0.77 per 1%, p = 0.004), was a significant predictor of MACE. Kaplan-Meier analysis demonstrated worse outcomes in patient with LGE and an ErrLax value ≤ 9.48%. Multivariable backward regression analysis revealed that ErrLax values were the only significant predictors of LV functional recovery (hazard ratio, 0.54 per 1%; p = 0.042). Conclusion: CMR-derived ErrLax values can predict poor outcomes, both MACE and incomplete LV functional recovery, in patients with acute myocarditis, while LGE is only a predictor of MACE.
이지원,Kyung Jin Nam,김진유,정연주,이지원,So Min Park,Soo Jin Lim,추기석 한국심초음파학회 2020 Journal of Cardiovascular Imaging (J Cardiovasc Im Vol.28 No.1
BACKGROUND: To assess left ventricular function and coronary artery simultaneously by third-generation dual-source computed tomography (CT) using a low radiation dose. METHODS: A total of 48 patients (36 men, 12 women; mean age 57.0 ± 9.5 years) who underwent both electrocardiography-gated cardiac CT angiography (CCTA) using 70–90 kVp and echocardiography were included in this retrospective study. The correlation between left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), and left ventricular ejection fraction (LVEF) measured using CCTA and echocardiography was determined. The quality of coronary artery images was analyzed using a 4-point scale (1, excellent; 4, poor). The effective radiation dose of CCTA was calculated. RESULTS: Mean heart rate during the CT examination was 59.9 ± 9.9 bpm (range 38–79) and the body mass index of 48 patients was 24.5 ± 2.6 kg/m2 (range 17.0–29.4). LVEDV, LVESV, and LVEF measured using CCTA and echocardiography demonstrated a fair to moderate correlation (Pearson correlation coefficient: r = 0.395, p = 0.005 for LVEDV; r = 0.509. p < 0.001 for LVESV; r = 0.551, p < 0.001 for LVEF). Average image quality score of coronary arteries was 1.0 ± 0.1 (range 1–2). A total of 99.0% (783 of 791) of segments had an excellent image quality score, and 1.0% (8 of 791) of segments had a good score. Mean effective radiation dose was 2.2 ± 0.7 mSv. CONCLUSIONS: Third-generation dual-source CT using a low tube voltage simultaneously provides information regarding LV function and coronary artery disease at a low radiation dose. It can serve as an alternative option for functional assessment, particularly when other imaging modalities are inadequate.
스마트 하수처리장 도입에 필요한 운전제어기술에 관한 연구
이지원,김유현,길경익 한국습지학회 2022 한국습지학회지 Vol.24 No.1
Smart sewage treatment plant means creating a safe and clean water environment by establishing an ICT-based real-time monitoring, remote control management and intelligent system for the entire sewage treatment process. The core technology of such a smart sewage treatment plant can be operation control technology using measuring instruments. This research team analyzed and suggested the operation control technologies necessary for the establishment of the intelligent business by referring to the intelligent research projects of the sewage treatment plant in progress in Korea. As a result of the analysis, a total of six removal technologies were presented, including control by scale, reflow water control, linked treated water control, chemical quantity control, winter operation control, and total organic carbon control. By size, standards that can be classified into small and medium-sized large-scale are presented, and in the case of reflow water control, the location of water quality and flow sensors capable of managing reflow water is suggested. In the case of the linked treated water control, the influence and control points of the linked treated water on the sewage treatment plant were presented, and in the case of the chemical injection volume control, a system capable of optimizing the amount of chemical injection according to the introduction of an intelligent sewage treatment plant was presented. In the case of winter operation, the sensors and pumps to be controlled are suggested when considering the decrease in nitrification due to the decrease in water temperature. In the case of total organic carbon control, an interlocking system considering the total amount of pollution in the future was proposed. These operation control scenarios are expected to be used as basic data to be used in intelligent sewage treatment algorithms and scenarios in the future. 스마트(Smart) 하수처리장은 하수처리 전 과정에 대한 ICT 기반의 실시간 모니터링, 원격 제어 관리 및 지능화 체계를 구축하여안전하고 깨끗한 물환경을 조성하는 것을 의미한다. 이러한 스마트 하수처리장의 핵심이 되는 기술이 계측기를 활용한 운전제어기술이라 할 수 있다. 본 연구진은 국내에서 진행중인 하수처리장 지능화 연구사업들을 참고하여 지능화사업 구축 시 필요한운전제어 기술들을 분석하고 제시하였다. 분석 결과 규모별 제어, 반류수 제어, 연계처리수 제어, 약품량 제어, 동절기 운영제어, 총 유기탄소 제어까지 총 6개의 제거 기술에 대해 제시하였다. 규모별로는 소규모와 중규모 대규모로 구분할 수 있는 기준을제시하였고, 반류수 제어의 경우 반류수를 관리할 수 있는 수질 및 유량 센서의 위치를 제시하였다. 연계처리수 제어의 경우연계처리수가 하수처리장에 미치는 영향과 제어 지점을 제시하였으며, 약품주입량 제어의 경우 지능형 하수처리장 도입에 따라약품 주입량을 최적화할 수 있는 시스템을 제시하였다. 동절기 운영의 경우 수온 저하에 따른 질산화 저하를 고려하였을 때제어해야 하는 센서와 펌프를 제시하였다. 총 유기탄소 제어의 경우 향후 오염총량제를 고려한 연동 시스템을 제시하였다. 이러한운전제어 시나리오들은 향후 지능형 하수처리 알고리즘과 시나리오에 사용될 기초자료로 활용될 수 있을 것으로 판단된다.