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동물의 장에서 분리한 Enterococcus sp.의 특성 및 분말화
박종진,변정수,조윤경,홍승서,이현수 한국미생물생명공학회 ( 구 한국산업미생물학회 ) 1996 한국미생물·생명공학회지 Vol.24 No.4
의약품 및 동물약품으로 사용되고 있는 분말유산균을 개발하고자 동물의 장에서 산성 pH 및 담즙산에 대한 내성이 강하고 대장균 생육억제력이 좋은 Enterococcus faecium L20을 분리 동정하고 이를 이용하여 고농도의 생균이 함유된 분말 유산균을 제조하였다. 분리된 균주는 pH 3.0에서 90% 이상의 내성과 0.3% 담즙산이 함유된 배지에서 100%의 내성을 나타냈으며 MRS 배지에서 대장균과 혼합배양시 24시간 이내에 대장균을 사멸시켰다. 분리된 균주를 산업용배지에서 배양한 후 동결건조시켜 분말을 만들었을 때 생균수는 5.0×0^11/g 이상이었다. 이것은 18℃에 보관하였을 경우 11개월 동안 80%의 생존율을 나타내었다. In order to develop a lactic acid bacterial powder which can be used as a probiotic for human and animal, a lactic acid bacteria which has high resistance against low pH and ox-gall, and shows a good growth inhibition against low pH and ox-gall, and shows a good growth inhibition against E. coli, was isolated from an animal intestine and characterized. The isolated strain was identified as Enterococcus faecium. It had more than 90% of survival at low pH for 2 hours and almost 100% of survival in the presence of 0.3% ox-gall. When co-cultured with E. coli in MRS broth, all of the E. coli cells were killed within 24 hours. The final powdered product of the isolated strain was manufactured after a freeze drying process suing an industrial media, and then checked its stability. Its storage stability was 80% for 11 months at 18℃.
Chong Hyun Suh,정승채,이호범,조세진 대한영상의학회 2019 Korean Journal of Radiology Vol.20 No.3
Objective: To compare conventional sensitivity encoding (SENSE) to compressed sensing plus SENSE (CS) for highresolution magnetic resonance imaging (HR-MRI) of intracranial and extracranial arteries. Materials and Methods: HR-MRI was performed in 14 healthy volunteers. Three-dimensional T1-weighted imaging (T1WI) and proton density-weighted imaging (PD) were acquired using CS or SENSE under the same total acceleration factors (AFt)–5.5, 6.8, and 9.7 for T1WI and 3.2, 4.0, and 5.8 for PD–to achieve reduced scanning times in comparison with the original imaging sequence (SENSE T1WI, AFt 3.5; SENSE PD, AFt 2.0) using the 3-tesla system. Two neuroradiologists measured signalto-noise ratio (SNR) and contrast-to-noise ratio (CNR), and used visual scoring systems to assess image quality. Acceptable imaging was defined as a visual score ≥ 2. Repeated measures analysis of variance and Cochran’s Q test were performed. Results: CS yielded better image quality and vessel delineation than SENSE in T1WI with AFt of 5.5, 6.8, and 9.7, and in PD with AFt of 5.8 (p < 0.05). CS T1WI with AFt of 5.5 and CS PD with AFt of 3.2 and 4.0 did not differ significantly from original imaging (p > 0.05). SNR and CNR in CS were higher than they were in SENSE, but lower than they were in the original images (p < 0.05). CS yielded higher proportions of acceptable imaging than SENSE (CS T1WI with AFt of 6.8 and PD with AFt of 5.8; p < 0.0167). Conclusion: CS is superior to SENSE, and may be a reliable acceleration method for vessel HR-MRI using AFt of 5.5 for T1WI, and 3.2 and 4.0 for PD.
Suh Chong Hyun,Lee Jeong Hyun,Chung Mi Sun,Xu Xiao-Quan,Sung Yu Sub,Chung Sae Rom,Choi Young Jun,Baek Jung Hwan 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.5
Objective: Preoperative differentiation between inverted papilloma (IP) and its malignant transformation to squamous cell carcinoma (IP-SCC) is critical for patient management. We aimed to determine the diagnostic accuracy of conventional imaging features and histogram parameters obtained from whole tumor apparent diffusion coefficient (ADC) values to predict IP-SCC in patients with IP, using decision tree analysis. Materials and Methods: In this retrospective study, we analyzed data generated from the records of 180 consecutive patients with histopathologically diagnosed IP or IP-SCC who underwent head and neck magnetic resonance imaging, including diffusion-weighted imaging and 62 patients were included in the study. To obtain whole tumor ADC values, the region of interest was placed to cover the entire volume of the tumor. Classification and regression tree analyses were performed to determine the most significant predictors of IP-SCC among multiple covariates. The final tree was selected by cross-validation pruning based on minimal error. Results: Of 62 patients with IP, 21 (34%) had IP-SCC. The decision tree analysis revealed that the loss of convoluted cerebriform pattern and the 20th percentile cutoff of ADC were the most significant predictors of IP-SCC. With these decision trees, the sensitivity, specificity, accuracy, and C-statistics were 86% (18 out of 21; 95% confidence interval [CI], 65–95%), 100% (41 out of 41; 95% CI, 91–100%), 95% (59 out of 61; 95% CI, 87–98%), and 0.966 (95% CI, 0.912–1.000), respectively. Conclusion: Decision tree analysis using conventional imaging features and histogram analysis of whole volume ADC could predict IP-SCC in patients with IP with high diagnostic accuracy.