• Korean Journal of Radiology
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• 제24권8호
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• pp.784-794
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• 2023

Objective: To determine whether dynamic susceptibility contrast-enhanced (DSC) perfusion magnetic resonance imaging (MRI) can be used to evaluate posterior cerebral circulation in pediatric patients with moyamoya disease (MMD) who underwent anterior revascularization. Materials and Methods: This study retrospectively included 73 patients with MMD who underwent DSC perfusion MRI (age, 12.2 ± 6.1 years) between January 2016 and December 2020, owing to recent-onset clinical symptoms during the follow-up period after completion of anterior revascularization. DSC perfusion images were analyzed using a dedicated software package (NordicICE; Nordic NeuroLab) for the middle cerebral artery (MCA), posterior cerebral artery (PCA), and posterior border zone between the two regions (PCA-MCA). Patients were divided into two groups; the PCA stenosis group included 30 patients with newly confirmed PCA involvement, while the no PCA stenosis group included 43 patients without PCA involvement. The relationship between DSC perfusion parameters and PCA stenosis, as well as the performance of the parameters in discriminating between groups, were analyzed. Results: In the PCA stenosis group, the mean follow-up duration was 5.3 years after anterior revascularization, and visual disturbances were a common symptom. Normalized cerebral blood volume was increased, and both the normalized time-topeak (nTTP) and mean transit time values were significantly delayed in the PCA stenosis group compared with those in the no PCA stenosis group in the PCA and PCA-MCA border zones. TTP_PCA (odds ratio [OR] = 6.745; 95% confidence interval [CI] = 2.665-17.074; P < 0.001) and CBV_PCA-MCA (OR = 1.567; 95% CI = 1.021-2.406; P = 0.040) were independently associated with PCA stenosis. TTP_PCA showed the highest receiver operating characteristic curve area in discriminating for PCA stenosis (0.895; 95% CI = 0.803-0.986). Conclusion: nTTP can be used to effectively diagnose PCA stenosis. Therefore, DSC perfusion MRI may be a valuable tool for monitoring PCA stenosis in patients with MMD.

• Korean Journal of Radiology
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• 제23권5호
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• pp.505-516
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• 2022

Objective: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms. Materials and Methods: A commercial deep learning-based software for mammography was validated using external data collected from 200 patients, 100 each with and without breast cancer (40 with benign lesions and 60 without lesions) from one hospital. Ten readers, including five breast specialist radiologists (BSRs) and five general radiologists (GRs), assessed all mammography images using a seven-point scale to rate the likelihood of malignancy in two sessions, with and without the aid of the AI-based software, and the reading time was automatically recorded using a web-based reporting system. Two reading sessions were conducted with a two-month washout period in between. Differences in the area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and reading time between reading with and without AI were analyzed, accounting for data clustering by readers when indicated. Results: The AUROC of the AI alone, BSR (average across five readers), and GR (average across five readers) groups was 0.915 (95% confidence interval, 0.876-0.954), 0.813 (0.756-0.870), and 0.684 (0.616-0.752), respectively. With AI assistance, the AUROC significantly increased to 0.884 (0.840-0.928) and 0.833 (0.779-0.887) in the BSR and GR groups, respectively (p = 0.007 and p < 0.001, respectively). Sensitivity was improved by AI assistance in both groups (74.6% vs. 88.6% in BSR, p < 0.001; 52.1% vs. 79.4% in GR, p < 0.001), but the specificity did not differ significantly (66.6% vs. 66.4% in BSR, p = 0.238; 70.8% vs. 70.0% in GR, p = 0.689). The average reading time pooled across readers was significantly decreased by AI assistance for BSRs (82.73 vs. 73.04 seconds, p < 0.001) but increased in GRs (35.44 vs. 42.52 seconds, p < 0.001). Conclusion: AI-based software improved the performance of radiologists regardless of their experience and affected the reading time.

• 정보처리학회논문지C
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• 제17C권6호
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• pp.471-484
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• 2010

이동통신 시스템에서 이동단말이 소비하는 전력은 휴대용 배터리의 용량 제약으로 인하여 매우 중요하게 고려되는 이슈이다. 따라서, Mobile WiMAX 시스템을 포함한 대부분의 무선통신 네트워크 규격은 이동단말의 전력소모를 줄이기 위한 전력절약 모드를 지원한다. 그러나 이들 규격에서 제시하는 전력절약 모드는 청취구간의 시간적인 배치만을 정의한다. 따라서 전력절약 모드로 동작하는 단말의 소비전력은 단말제조사의 구현형태에 의존적이며, 채널환경 변화에 따라 페이징 손실의 위험성도 존재한다. 본 논문은 광대역 이동통신 네트워크 환경에서 전력절약 모드로 동작하는 이동단말이 채널품질의 변동추이를 바탕으로 최선의 기지국을 선택하는 방식을 통해 보다 효율적인 전력사용 및 청취구간 동안 페이징 메시지의 손실 위험을 줄이는 실용적인 알고리즘을 제시한다. 이러한 채널적응형 주파수/기지국 재선택 알고리즘은 청취구간 동안 채널품질을 측정하는 과정, 측정된 채널품질의 변동을 추적하는 과정, 추적결과에 따라 이종 주파수 탐색을 수행하는 과정, 탐색결과에 따라 최선의 주파수 및 기지국을 재선택 하는 과정으로 구성되어 있다. 그러므로 제안된 방식은 단말이 이동함에 따라 해당 네트워크의 채널환경이 변하더라도 전력을 합리적으로 사용함과 동시에 양호한 기지국을 선택하게 함으로써, 청취구간에서 페이징 메시지 수신성능을 향상시킨다. 본 알고리즘을 적용한 시뮬레이션 결과는 단말의 이동하는 채널환경에서 다른 후보방안들 보다 페이징 메시지 수신성능이 우수함을 보여주고 있으며 동시에 단말이 평균적으로 보다 양호한 채널환경에서 전력절약 모드를 동작하게 함을 보여준다.

• Journal of Chest Surgery
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• 제49권4호
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• pp.273-279
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• 2016

Background: The use of extracorporeal life support (ECLS) in the setting of cardiopulmonary resuscitation (CPR) has shown improved outcomes compared with conventional CPR. The aim of this study was to determine factors predictive of survival in extracorporeal CPR (E-CPR). Methods: Consecutive 85 adult patients (median age, 59 years; range, 18 to 85 years; 56 males) who underwent E-CPR from May 2005 to December 2012 were evaluated. Results: Causes of arrest were cardiogenic in 62 patients (72.9%), septic in 18 patients (21.2%), and hypovolemic in 3 patients (3.5%), while the etiology was not specified in 2 patients (2.4%). The survival rate in patients with septic etiology was significantly poorer compared with those with another etiology (0% vs. 24.6%, p=0.008). Septic etiology (hazard ratio [HR], 2.84; 95% confidence interval [CI], 1.49 to 5.44; p=0.002) and the interval between arrest and ECLS initiation (HR, 1.05 by 10 minutes increment; 95% CI, 1.02 to 1.09; p=0.005) were independent risk factors for mortality. When the predictive value of the E-CPR timing for in-hospital mortality was assessed using the receiver operating characteristic curve method, the greatest accuracy was obtained at a cutoff of 60.5 minutes (area under the curve, 0.67; 95% CI, 0.54 to 0.80; p=0.032) with 47.8% sensitivity and 88.9% specificity. The survival rate was significantly different according to the cutoff of 60.5 minutes (p=0.001). Conclusion: These results indicate that efforts should be made to minimize the time between arrest and ECLS application, optimally within 60 minutes. In addition, E-CPR in patients with septic etiology showed grave outcomes, suggesting it to be of questionable benefit in these patients.

• 터널과지하공간
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• 제29권6호
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• pp.480-507
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• 2019

본 논문은 무풍관 선풍기를 이용한 대단면 갱내 국부통기시스템의 최적화를 목적으로 한다. 갱내 맹갱도 형태의 작업공간을 대상으로 일련의 CFD분석과 현장실험을 수행하였다. 선풍기 위치, 운전방식 및 배치가 최적화의 주요 대상변수이다. 국부선풍기에서 토출되는 제트류는 대부분의 경우, 풍속이 15m/s이상으로 고속이므로 토출 후 갱도 바닥, 내벽, 천정 그리고 다른 선풍기에서 토출되는 제트류와 충돌할 가능성이 있다. 따라서 충돌시 상당한 에너지 손실이 발생하므로 통기 효율이 급격히 저하될 수 있다. 본 논문에서 최적 선풍기 간격은 제트류가 충돌 없이 최대의 유동거리를 유지할 수 있는 거리로 정의하며, 반면 단면상의 최적 위치란 갱도내벽과의 충돌 가능성이 최소화된 위치로 정의하였다. 따라서 선풍기 설치위치의 최적화는 통기의 효율뿐만 아니라 에너지 비용 또한 최소화가 가능하다. 3차원 CFD분석을 위하여 다양한 갱내 맹갱도 작업공간을 가정하였다. 무풍관 국부통기의 설계 및 최적화를 위하여 풍속 및 CO농도 분포를 CFD분석하였으며 동시에 비교 목적으로 현장실험을 수행하였다. 본 논문의 궁극적인 목적은 풍관을 사용하기 않는 국부통기시스템을 최적화함으로써 대단면 맹갱도 작업공간에 고효율, 저비용 국부통기를 가능케하여 깨끗하고 안전한 작업환경을 확보하기 위함이다.

• 대한간호학회지
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• 제44권2호
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• pp.219-227
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• 2014

Purpose: To assess whether the Modified Early Warning Score (MEWS) predicts the need for intensive care unit (ICU) transfer for patients with severe sepsis or septic shock admitted to general wards. Methods: A retrospective chart review of 100 general ward patients with severe sepsis or septic shock was implemented. Clinical information and MEWS according to point of time between ICU group and general ward group were reviewed. Data were analyzed using multivariate logistic regression and the area under the receiver operating characteristic curves with SPSS/WIN 18.0 program. Results: Thirty-eight ICU patients and sixty-two general ward patients were included. In multivariate logistic regression, MEWS (odds ratio [OR] 2.02, 95% confidence interval [CI] 1.43-2.85), lactic acid (OR 1.83, 95% CI 1.22-2.73) and diastolic blood pressure (OR 0.89, 95% CI 0.80-1.00) were predictive of ICU transfer. The sensitivity and the specificity of MEWS used with cut-off value of six were 89.5% and 67.7% for ICU transfer. Conclusion: MEWS is an effective predictor of ICU transfer. A clinical algorithm could be created to respond to high MEWS and intervene with appropriate changes in clinical management.

• 한국산학기술학회논문지
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• 제11권1호
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• pp.67-72
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• 2010

본 논문에서는 기존의 궤도회로(Track Circuit)를 이용하는 FBS의 설비측면에서 단락감도 및 선로변 설비(지상설비)의 규모에 따른 유지보수의 증가 등의 문제점을 극복하고, 차량간 간격을 근접시키기 위한 열차제어 개념인 MBS의 구현에 따른 무인운전기술의 가능성을 검증하였다. MBS에 의한 열차 운전은 중앙국에서 열차의 위치를 실시간으로 알 수 있어 선행열차의 정보를 후속열차에 직접 전달할 수 있으므로 시격(Headway)단축이 가능해지고 그에 따라 수송수요 증대와 불필요한 가.감속을 방지할 수 있다. 이와 더불어 지상설비를 대폭적으로 감소시킬 수 있으며, 승객서비스 향상 및 승차감 향상 등의 이점을 제공한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.159-161
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• 2007

Geostationary Ocean Color Imager (GOCI), the world-first ocean remote sensing instrument on geostationary Communication, Ocean, Meteorological Satellite (COMS), will be able to take a picture of a large region several times a day (almost with every one hour interval). We, KORDI, are in charge for developing the GOCI data processing system (GDPS) which is the basic software for processing the data from GOCI. The GDPS will be based on windows operating system to produce the GOCI level 2 data products (useful for oceanographic environmental analysis) automatically in real-time mode. Also, the GDPS will be a user-interactive program by well-organized graphical user interfaces for data processing and visualization. Its products will be the chlorophyll concentration, amount of total suspended sediments (TSS), colored dissolved organic matters (CDOM) and red tide from water leaving radiance or remote sensing reflectance. In addition, the GDPS will be able to produce daily products such as water current vector, primary productivity, water quality categorization, vegetation index, using individual observation data composed from several subscenes provided by GOCI for each slit within the target area. The resulting GOCI level 2 data will be disseminated through LRIT using satellite dissemination system and through online request and download systems. This software is carefully designed and implemented, and will be tested by sub-contractual company until the end of this year. It will need to be updated in effect with respect to new/improved algorithms and the calibration/validation activities.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제23권3호
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• pp.266-275
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• 2020

Purpose: The outcome predictors of Kasai portoenterostomy (KPE) for biliary atresia (BA) are controversial. This study aimed to identify possible short-term outcome predictors of KPE for BA in infants. Methods: This retrospective study included infants with BA who underwent KPE between January 2015 and December 2017 and were followed up for at least 6 months after surgery at the Pediatric Hepatology Unit, Cairo University Pediatric Hospital, Egypt. The short-term outcome was jaundice clearance within 6 months following surgery. All data were compared between the jaundice free group and those with persistent jaundice to identify the predictors of jaundice clearance. Results: The study included 75 infants. The mean age at the time of surgery was 82.43±22.77 days (range, 37-150 days), and 28 (37.3%) infants cleared their jaundice within 6 months postoperative. Age at surgery did not significantly affect the outcome (p=0.518). Infants with persistent jaundice had significantly higher pre-operative levels of aspartate aminotransferase (AST) than those who were jaundice free (p=0.041). Receiver operating characteristic curve analysis showed that preoperative AST ≤180 IU/L was predictive of a successful KPE, with sensitivity 74.5% and specificity 60.7%. Infants with bile plugs in liver biopsy had a 6-fold higher risk of persistent jaundice than those without bile plugs (95% confidence interval: 1.59-20.75, p=0.008). Conclusion: Jaundice clearance after KPE for BA can be predicted using preoperative AST and presence of bile plugs in liver biopsy.

• Clinical and Experimental Pediatrics
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• 제62권7호
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• pp.261-268
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• 2019

Purpose: This study aimed to evaluate the time trends of waist circumference (WC) and waist-height ratio (WHR), and to present WC and WHR distributions with optimal WHR cutoff for abdominal obesity in Korean children and adolescents. Methods: We performed a retrospective cross-sectional analysis of data from 13,257 children and adolescents (6,987 boys and 6,270 girls) aged 6-18 years who were included in the third to sixth Korea National Health and Nutrition Examination Survey (KNHANES, 2005-2015). Linear regression analyses were used to identify secular changes in WC and WHR by age, sex, and KNHANES waves. A receiver operating characteristic curve analysis was used to determine the optimal WHR cutoff values for abdominal obesity and cardiometabolic risk factors. Results: The mean WC and WHR distributions from 2005 to 2015 showed no significant secular changes between the KNHANES 4 waves (P for trend ${\geq}0.05$ in all ages and both sexes). The mean WCs in the present study were lower than those in the 2007 Korean National Growth Charts. The mean WHR at ages <13 years was statistically higher in the boys than in the girls, but did not significantly differ between the sexes among those aged 13 to 18 years. The optimal WHR cutoff for abdominal obesity was 0.48 (area under the curve, 0.985; 95% confidence interval, 0.985-0.985) in the 13- to 18-year-old adolescents. Conclusion: WC and WHR showed no secular changes over 10 years. The optimal WHR cutoff for abdominal obesity of 0.48 is useful for diagnosing and managing obesity and thus preventing obesity-related cardiometabolic complications in 13- to 18-year-old Korean adolescents.