1.Evaluation of automated calibration and quality control processes using the Aptio total laboratory automation system
Namhee KIM ; Yein KIM ; Jeongeun PARK ; Jungsoo CHOI ; Hyunyong HWANG
Kosin Medical Journal 2022;37(4):342-353
Background:
The objective of this study was to determine whether manually performed calibration and quality control (QC) processes could be replaced with an automated laboratory system when installed analyzers fail to provide automated calibration and QC functions.
Methods:
Alanine aminotransferase (ALT), total cholesterol (TC), creatinine (Cr), direct bilirubin (DB), and lipase (Lip) items were used as analytes. We prepared pooled serum samples at 10 levels for each test item and divided them into two groups; five for the analytical measurement range (AMR) group and five for the medical decision point (MDP) group. Calibration and QC processes were performed for five consecutive days, and ALT, TC, Cr, DB, and Lip levels were measured in the two groups using automated and manual methods. Precision and the mean difference between the calibration and QC methods were evaluated using the reported values of the test items in each group.
Results:
Repeatability and within-laboratory coefficients of variation (CVs) between the automated system and the conventional manual system in the AMR group were similar. However, the mean reported values for test items were significantly different between the two systems. In the MDP group, repeatability and within-laboratory CVs were better with the automation system. All calibration and QC processes were successfully implemented with the Aptio total laboratory automation system.
Conclusion
The Aptio total laboratory automation system could be applied to routine practice to improve precision and efficiency.
3.A Case of Severe Aortic Valve Regurgitation Caused by an Ascending Aortic Aneurysm in a Young Patient With Autosomal Dominant Polycystic Kidney Disease and Normal Renal Function.
Jeongeun KIM ; Sang Min KIM ; Sang Yeub LEE ; Ho Chang LEE ; Jang Whan BAE ; Kyung Kuk HWANG ; Dong Woon KIM ; Myeong Chan CHO ; Sun Ju BYEON ; Ki Bong KIM
Korean Circulation Journal 2012;42(2):136-139
Aortic aneurysm is one several well-known cardiovascular complications in patients with autosomal dominant polycystic kidney disease (ADPCKD). Commonly affected site of aortic aneurysm and its related dissection in ADPCKD is abdominal aorta. Long standing hypertension, haemodialysis, old age are closely related with discovering of aortic aneurysm and dissection in ADPCKD. However, thoracic aortic aneurysms and its related severe aortic regurgitations (ARs) are rare in younger patients suffering from ADPCKD, especially ones who have normal renal function. Here, we report a case involving a 27-year-old Asian male patient with severe AR due to an ascending aneurysm of the thoracic aorta associated with ADPCKD. The patient had normal renal function without Marfan's habitus. The AR and thoracic aortic aneurysm were corrected surgically.
Adult
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Aneurysm
;
Aorta, Abdominal
;
Aorta, Thoracic
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Aortic Aneurysm
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Aortic Aneurysm, Thoracic
;
Aortic Valve
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Aortic Valve Insufficiency
;
Asian Continental Ancestry Group
;
Humans
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Hypertension
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Male
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Polycystic Kidney, Autosomal Dominant
;
Stress, Psychological
4.Protective Effects of Peroxiredoxin on Hydrogen Peroxide Induced Oxidative Stress and Apoptosis in Cardiomyocytes.
Keon Jae PARK ; Yeon Jeong KIM ; Jeongeun KIM ; Sang Min KIM ; Sang Yeub LEE ; Jang Whan BAE ; Kyung Kuk HWANG ; Dong Woon KIM ; Myeong Chan CHO
Korean Circulation Journal 2012;42(1):23-32
BACKGROUND AND OBJECTIVES: The redox system is an important anti-oxidative system composed of thioredoxin, thioredoxin reductase, and peroxiredoxin (PRx). The fine details of PRx expression and its protective effects in various cells in cardiovascular tissue under oxidative stress created by hydrogen peroxide have not been fully elucidated. SUBJECTS AND METHODS: Oxidative stress was induced by adding hydrogen peroxide at 0.25 mM for 2 hours to rat neonatal cardiomyocytes (rCMCs), rat vascular smooth muscle cells (rVSMCs), and human umbilical vein endothelial cells (HUVECs). Apoptosis was quantified by flow cytometry and the expression patterns of the six PRx isoforms were evaluated by western blotting in the three cell lines after hydrogen peroxide stimulation. Apoptosis and the cell survival signal pathway were evaluated by PRx1 gene delivery using lentiviral vector in hydrogen peroxide stimulated rCMCs versus green fluorescence protein gene delivery. RESULTS: Hydrogen peroxide induced 25% apoptosis in rCMCs. Furthermore, the PRx1 and 5 isoforms were found to be overexpressed in hydrogen peroxide treated rCMCs, and PRx1 overexpression by gene delivery was found to reduce hydrogen peroxide induced rCMCs apoptosis significantly. In addition, this effect was found to originate from cell survival pathway modification. CONCLUSION: Hydrogen peroxide induced significant oxidative stress in rCMCs, rVSMCs, and HUVECs, and PRx1 overexpression using a lentiviral vector system significantly reduced hydrogen peroxide induced rCMCs apoptosis by upregulation of cell survival signals and downregulation of apoptotic signals. These findings suggest that PRx1 could be used as a treatment strategy for myocardial salvage in conditions of oxidative stress.
Animals
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Apoptosis
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Blotting, Western
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Cell Line
;
Cell Survival
;
Down-Regulation
;
Flow Cytometry
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Fluorescence
;
Human Umbilical Vein Endothelial Cells
;
Hydrogen
;
Hydrogen Peroxide
;
Muscle, Smooth, Vascular
;
Myocytes, Cardiac
;
Oxidation-Reduction
;
Oxidative Stress
;
Peroxiredoxins
;
Protein Isoforms
;
Rats
;
Signal Transduction
;
Thioredoxin-Disulfide Reductase
;
Thioredoxins
;
Up-Regulation
5.An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research
Sungchul KIM ; Sungman CHO ; Kyungjin CHO ; Jiyeon SEO ; Yujin NAM ; Jooyoung PARK ; Kyuri KIM ; Daeun KIM ; Jeongeun HWANG ; Jihye YUN ; Miso JANG ; Hyunna LEE ; Namkug KIM
Korean Journal of Radiology 2021;22(12):2073-2081
Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.