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Lee JH, Kim JY, Ryu K, Al-Masni MA, Kim TH, Han D, Kim HG, Kim DH. JUST-Net: Jointly unrolled cross-domain optimization based spatio-temporal reconstruction network for accelerated 3D myelin water imaging. Magn Reson Med 2024; 91:2483-2497. [PMID: 38342983 DOI: 10.1002/mrm.30021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 01/08/2024] [Accepted: 01/08/2024] [Indexed: 02/13/2024]
Abstract
PURPOSE We introduced a novel reconstruction network, jointly unrolled cross-domain optimization-based spatio-temporal reconstruction network (JUST-Net), aimed at accelerating 3D multi-echo gradient-echo (mGRE) data acquisition and improving the quality of resulting myelin water imaging (MWI) maps. METHOD An unrolled cross-domain spatio-temporal reconstruction network was designed. The main idea is to combine frequency and spatio-temporal image feature representations and to sequentially implement convolution layers in both domains. The k-space subnetwork utilizes shared information from adjacent frames, whereas the image subnetwork applies separate convolutions in both spatial and temporal dimensions. The proposed reconstruction network was evaluated for both retrospectively and prospectively accelerated acquisition. Furthermore, it was assessed in simulation studies and real-world cases with k-space corruptions to evaluate its potential for motion artifact reduction. RESULTS The proposed JUST-Net enabled highly reproducible and accelerated 3D mGRE acquisition for whole-brain MWI, reducing the acquisition time from fully sampled 15:23 to 2:22 min within a 3-min reconstruction time. The normalized root mean squared error of the reconstructed mGRE images increased by less than 4.0%, and the correlation coefficients for MWI showed a value of over 0.68 when compared to the fully sampled reference. Additionally, the proposed method demonstrated a mitigating effect on both simulated and clinical motion-corrupted cases. CONCLUSION The proposed JUST-Net has demonstrated the capability to achieve high acceleration factors for 3D mGRE-based MWI, which is expected to facilitate widespread clinical applications of MWI.
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Affiliation(s)
- Jae-Hun Lee
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
- Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Jae-Yoon Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Kanghyun Ryu
- Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Mohammed A Al-Masni
- Department of Artificial Intelligence, Sejong University, Seoul, Republic of Korea
| | - Tae Hyung Kim
- Department of Computer Engineering, Hongik University, Seoul, Republic of Korea
| | - Dongyeob Han
- Siemens Healthineers Ltd, Seoul, Republic of Korea
| | - Hyun Gi Kim
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
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Zhong Z, Ryu K, Mao J, Sun K, Dan G, Vasanawala SS, Zhou XJ. Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI). Bioengineering (Basel) 2023; 10:864. [PMID: 37508891 PMCID: PMC10376839 DOI: 10.3390/bioengineering10070864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/05/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
PURPOSE To develop a novel convolutional recurrent neural network (CRNN-DWI) and apply it to reconstruct a highly undersampled (up to six-fold) multi-b-value, multi-direction diffusion-weighted imaging (DWI) dataset. METHODS A deep neural network that combines a convolutional neural network (CNN) and recurrent neural network (RNN) was first developed by using a set of diffusion images as input. The network was then used to reconstruct a DWI dataset consisting of 14 b-values, each with three diffusion directions. For comparison, the dataset was also reconstructed with zero-padding and 3D-CNN. The experiments were performed with undersampling rates (R) of 4 and 6. Standard image quality metrics (SSIM and PSNR) were employed to provide quantitative assessments of the reconstructed image quality. Additionally, an advanced non-Gaussian diffusion model was employed to fit the reconstructed images from the different approaches, thereby generating a set of diffusion parameter maps. These diffusion parameter maps from the different approaches were then compared using SSIM as a metric. RESULTS Both the reconstructed diffusion images and diffusion parameter maps from CRNN-DWI were better than those from zero-padding or 3D-CNN. Specifically, the average SSIM and PSNR of CRNN-DWI were 0.750 ± 0.016 and 28.32 ± 0.69 (R = 4), and 0.675 ± 0.023 and 24.16 ± 0.77 (R = 6), respectively, both of which were substantially higher than those of zero-padding or 3D-CNN reconstructions. The diffusion parameter maps from CRNN-DWI also yielded higher SSIM values for R = 4 (>0.8) and for R = 6 (>0.7) than the other two approaches (for R = 4, <0.7, and for R = 6, <0.65). CONCLUSIONS CRNN-DWI is a viable approach for reconstructing highly undersampled DWI data, providing opportunities to reduce the data acquisition burden.
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Affiliation(s)
- Zheng Zhong
- Departments of Radiology, Stanford University, Stanford, CA 94305, USA
- Center for Magnetic Resonance Research, Chicago, IL 60612, USA
| | - Kanghyun Ryu
- Departments of Radiology, Stanford University, Stanford, CA 94305, USA
| | - Jonathan Mao
- Henry M. Gunn High School, Palo Alto, CA 94306, USA
| | - Kaibao Sun
- Center for Magnetic Resonance Research, Chicago, IL 60612, USA
| | - Guangyu Dan
- Center for Magnetic Resonance Research, Chicago, IL 60612, USA
| | | | - Xiaohong Joe Zhou
- Center for Magnetic Resonance Research, Chicago, IL 60612, USA
- Department of Radiology, Neurosurgery and Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607, USA
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Ryu K, Lee C, Han Y, Pang S, Kim YH, Choi C, Jang I, Han SS. Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. PLoS One 2023; 18:e0285608. [PMID: 37167217 PMCID: PMC10174510 DOI: 10.1371/journal.pone.0285608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/26/2023] [Indexed: 05/13/2023] Open
Abstract
Cone-beam computed tomography (CBCT) can provide 3D images of a targeted area with the advantage of lower dosage than multidetector computed tomography (MDCT; also simply referred to as CT). However, in CBCT, due to the cone-shaped geometry of the X-ray source and the absence of post-patient collimation, the presence of more scattering rays deteriorates the image quality compared with MDCT. CBCT is commonly used in dental clinics, and image artifacts negatively affect the radiology workflow and diagnosis. Studies have attempted to eliminate image artifacts and improve image quality; however, a vast majority of that work sacrificed structural details of the image. The current study presents a novel approach to reduce image artifacts while preserving details and sharpness in the original CBCT image for precise diagnostic purposes. We used MDCT images as reference high-quality images. Pairs of CBCT and MDCT scans were collected retrospectively at a university hospital, followed by co-registration between the CBCT and MDCT images. A contextual loss-optimized multi-planar 2.5D U-Net was proposed. Images corrected using this model were evaluated quantitatively and qualitatively by dental clinicians. The quantitative metrics showed superior quality in output images compared to the original CBCT. In the qualitative evaluation, the generated images presented significantly higher scores for artifacts, noise, resolution, and overall image quality. This proposed novel approach for noise and artifact reduction with sharpness preservation in CBCT suggests the potential of this method for diagnostic imaging.
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Affiliation(s)
- Kanghyun Ryu
- Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, South Korea
| | - Chena Lee
- Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, South Korea
| | - Yoseob Han
- College of Information Technology, Department of Electronic Engineering, IT Convergence Major, Soongsil University, Seoul, Korea
- Department of Radiology, Harvard Medical School, Boston, MA, United States of America
| | - Subeen Pang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America
| | - Young Hyun Kim
- Department of R&D Performance Evaluation, Korea Health Industry Development Institute (KHIDI), Cheongju, South Korea
| | - Chanyeol Choi
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America
| | - Ikbeom Jang
- Division of Computer Engineering, Hankuk University of Foreign Studies, Yongin, South Korea
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Sang-Sun Han
- Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, South Korea
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Kwon Y, Lee H, Ryu K, Moon D, Chung H. Paid Sick Leave and Sickness Benefits for employees’ economic and job security: A Scoping Review. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac131.550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
In health emergencies, such as in the COVID-19 pandemic, the need to expand or introduce the Paid sick leave(PSL) and Sickness benefits(SB) increases. They are key components of the universal health coverage(UHC) and active labor market policies(ALMPs) that enable workers to take care of their health and guarantee return-to-work after recovery. This study examines effects those policies in achieving economic stability and job security of covered workers through a scoping review. Studies were selected using the search terms ‘paid sick leave', ‘sickness benefits', ‘paid sick day', and ‘earned sick leave’ in PubMed and Web of Science. Our search conducted on 6th April 2021 yielded 1,030 articles, of which 22 articles were included in the review. All articles were analyzed by the 4 sub-groups(employees, families, employers, and government) and we investigated indicators of socio-economic impacts on their lives. Articles are largely PSL(90.9%)-focused. PSL guarantees not only workers’ job security by securing employment agreement, but also their income security by promising part of wages enough to afford healthcare and living expenses during the medical treatment and recovery. Additionally, PSL attenuates employers’ financial risk, as it reduces presenteeism while increasing the return-to-work rate. Moreover, PSL and SB reduce the total healthcare and social security expenditures of the government. To sum up, PSL and SB guarantee health and labor rights by ensuring income and job security to employees while assuring financial stability to both employers, and the government. However, as the previous studies paid less attention on the equity of these impacts at the system levels, future research should more focus on the dimension.
Key messages
• PSL and SB guarantee health and labour rights by ensuring income and job security for employees, while assuring financial stability for both employers and the government.
• The previous studies that examined the effects of PSL and SB paid less attention on the equity of ensuring income and employment security, therefore future studies should focus more on this dimension.
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Affiliation(s)
- Y Kwon
- Department of Public Health Sciences, Graduate School, Korea University , Seoul, South Korea
- BK21 FOUR Learning Health Systems, Korea University , Seoul, South Korea
| | - H Lee
- Department of Public Health Sciences, Graduate School, Korea University , Seoul, South Korea
- BK21 FOUR Learning Health Systems, Korea University , Seoul, South Korea
| | - K Ryu
- Department of Public Health Sciences, Graduate School, Korea University , Seoul, South Korea
- BK21 FOUR Learning Health Systems, Korea University , Seoul, South Korea
| | - D Moon
- People’s Health Institute , Seoul, South Korea
| | - H Chung
- BK21 FOUR Learning Health Systems, Korea University , Seoul, South Korea
- School of Health Policy and Management, Korea University , Seoul, South Korea
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Lee H, Kwon Y, Ryu K, Sohn M, Chung H. The paid sick leave and sickness benefits for universal health coverage: a scoping review. Eur J Public Health 2022. [PMCID: PMC9594345 DOI: 10.1093/eurpub/ckac131.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background The countries with paid sick leave (PSL) and sickness benefits (SB) mostly provide the benefit coverage to specific categories of workers, which results in health inequalities among employees in COVID-19. The PSL and SB are key factors to achieve universal health coverage (UHC) in that they protect access to healthcare and improve population health. This study attempted to investigate whether the policies helped achieve the UHC when they were expanded. Methods This review followed the scoping review protocol of PRISMA-ScR. On April 6, 2021, we extracted the literature using the keywords ‘paid sick leave', ‘sickness benefits', ‘paid sick day', and ‘earned sick leave’ from PubMed and Web of Science and added two studies through hand-search. All articles were written in English. We did not limit the publication date. Results Forty-four selected studies were based in four single countries and the European Union. Most of the studies were published after 2010 (84.1%) and were conducted as cross-sectional (72.7%) studies. Not only workers who use PSL and SB but also children whose parents use PSL and SB increased their use of healthcare services and getting flu shots. Also, using PSL and SB decreased their unmet healthcare needs and emergency use. The various health status factors, such as infectious disease incidence, mortality, and presenteeism, also decreased. Conclusions The provisions of PSL and SB offer individual and public health benefits by allowing employees and their families to use healthcare services. Group of employees, we can expect similar public health impacts on newly covered groups, thus contributing to achieving the UHC. Since more than 90% of articles are published from the United States, future studies need to evaluate the outcomes of health effects in various European or Asian countries. Key messages • The provision of PSL and SB positively affects employees and their families by allowing them to use healthcare services. • The expansion of PSL and SB contributes to the UHC by guaranteeing indirect medical costs that enable universal access to essential healthcare services.
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Affiliation(s)
- H Lee
- Department of Public Health Sciences, Graduate School, Korea University , Seoul, South Korea
- BK21FOUR Learning Health Systems, Korea University , Seoul, South Korea
| | - Y Kwon
- Department of Public Health Sciences, Graduate School, Korea University , Seoul, South Korea
- BK21FOUR Learning Health Systems, Korea University , Seoul, South Korea
| | - K Ryu
- Department of Public Health Sciences, Graduate School, Korea University , Seoul, South Korea
- BK21FOUR Learning Health Systems, Korea University , Seoul, South Korea
| | - M Sohn
- Division of Health and Medical Sciences, Cyber University of Korea , Seoul, South Korea
| | - H Chung
- BK21FOUR Learning Health Systems, Korea University , Seoul, South Korea
- School of Health Policy and Management, Korea University , Seoul, South Korea
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Ryu K, Alkan C, Vasanawala SS. Improving high frequency image features of deep learning reconstructions via k-space refinement with null-space kernel. Magn Reson Med 2022; 88:1263-1272. [PMID: 35426470 PMCID: PMC9246879 DOI: 10.1002/mrm.29261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/20/2022] [Accepted: 03/21/2022] [Indexed: 11/12/2022]
Abstract
PURPOSE Deep learning (DL) based reconstruction using unrolled neural networks has shown great potential in accelerating MRI. However, one of the major drawbacks is the loss of high-frequency details and textures in the output. The purpose of the study is to propose a novel refinement method that uses null-space kernel to refine k-space and improve blurred image details and textures. METHODS The proposed method constrains the output of the DL to comply to the linear neighborhood relationship calibrated in the auto-calibration lines. To demonstrate efficacy, we tested our refinement method on the DL reconstruction under a variety of conditions (i.e., dataset, unrolled neural networks, and under-sampling scheme). Specifically, the method was tested on three large-scale public datasets (knee and brain) from fastMRI's multi-coil track. RESULTS The proposed scheme visually reduces the structural error in the k-space domain, enhance the homogeneity of the k-space intensity. Consequently, reconstructed image shows sharper images with enhanced details and textures. The proposed method is also successful in improving high-frequency image details (SSIM, GMSD) without sacrificing overall image error (PSNR). CONCLUSION Our findings imply that refining DL output using the proposed method may generally improve DL reconstruction as tested with various large-scale dataset and networks.
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Affiliation(s)
- Kanghyun Ryu
- Department of Radiology, Stanford University, CA, USA
| | - Cagan Alkan
- Department of Electrical Engineering, Stanford University, CA, USA
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Lee JH, Yi J, Kim JH, Ryu K, Han D, Kim S, Lee S, Kim DY, Kim DH. Accelerated 3D myelin water imaging using joint spatio-temporal reconstruction. Med Phys 2022; 49:5929-5942. [PMID: 35678751 DOI: 10.1002/mp.15788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 03/31/2022] [Accepted: 05/26/2022] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To enable acceleration in 3D multi-echo gradient echo (mGRE) acquisition for myelin water imaging (MWI) by combining joint parallel imaging (JPI) and joint deep learning (JDL). METHODS We implemented a multistep reconstruction process using both advanced parallel imaging and deep learning network which can utilize joint spatiotemporal components between the multi-echo images to further accelerate 3D mGRE acquisition for MWI. In the first step, JPI was performed to estimate missing k-space lines. Next, JDL was implemented to reduce residual artifacts and produce high-fidelity reconstruction by using variable splitting optimization consisting of spatiotemporal denoiser block, data consistency block, and weighted average block. The proposed method was evaluated for MWI with 2D Cartesian uniform under-sampling for each echo, enabling scan times of up to approximately 2 min for 2 mm × 2 mm × 2 mm $2\ {\rm mm} \times 2\ {\rm mm} \times 2\ {\rm mm}$ 3D coverage. RESULTS The proposed method showed acceptable MWI quality with improved quantitative values compared to both JPI and JDL methods individually. The improved performance of the proposed method was demonstrated by the low normalized mean-square error and high-frequency error norm values of the reconstruction with high similarity to the fully sampled MWI. CONCLUSION Joint spatiotemporal reconstruction approach by combining JPI and JDL can achieve high acceleration factors for 3D mGRE-based MWI.
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Affiliation(s)
- Jae-Hun Lee
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Jaeuk Yi
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Jun-Hyeong Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Kanghyun Ryu
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.,Department of Radiology, Stanford University, Stanford, California, USA
| | - Dongyeob Han
- Siemens Healthineers Ltd, Seoul, Republic of Korea
| | - Sewook Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Seul Lee
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Deog Young Kim
- Department of Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
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Lim C, Poaty Ditengou J, Ryu K, Ku J, Park M, Whiting I, Pirgozliev V. Effect of maize replacement with different triticale levels on layers production performance, egg quality, yolk fatty acid profile and blood parameters. J Anim Feed Sci 2021. [DOI: 10.22358/jafs/144848/2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Gardner RS, Quartieri F, Betts TR, Afzal M, Manyam H, Badie N, Dawoud F, Sabet L, Davis K, Qu F, Ryu K, Ip J. Reducing clinical review burden for insertable cardiac monitors. Europace 2021. [DOI: 10.1093/europace/euab116.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
The insertable cardiac monitor (ICM) is an essential tool for the ambulatory diagnosis of arrhythmias. However, definitive diagnoses still rely on time-consuming, manual adjudication of electrograms (EGMs) transmitted to the patient care network. This EGM review burden may be minimized by automatically selecting a subset of EGMs for fast review without delaying the diagnosis.
Purpose
Develop EGM selection strategies to reduce the EGM review burden without delaying diagnoses.
Methods
A retrospective analysis of 1,000 randomly selected Abbott Confirm Rx devices with 90+ days of remote transmission history was performed, regardless of transmission frequency, and all EGMs were adjudicated as either true or false positive (TP, FP). Up to 3 EGMs per day per arrhythmia type were prioritized for review based on ventricular rate and episode duration, with rules specific to each arrhythmia type: atrial fibrillation (AF), tachycardia, bradycardia, and pause. The resulting reduction in EGM review burden and TP days (patient-days with at least 1 TP EGM), as well as any diagnostic delay from the first transmitted TP, were calculated relative to reviewing all transmitted EGMs.
Results
In this population and transmission period, at least one AF, tachycardia, bradycardia, and pause EGM was transmitted by 424, 343, 190, and 325 unique devices, respectively, with a total of 35,723, 12,239, 19,752, and 28,002 EGMs, and a total of 6,163, 1,572, 1,438, and 646 TP days. For these patients with ≥1 EGM, the median [IQR] EGM transmission rate was 2.6 [0.7, 11.6], 1.1 [0.4, 4.7], 2.1 [0.6, 10.7], and 3.4 [0.6, 29.9] EGMs/patient/month, respectively. The optimal EGM selection strategy reduced this EGM review burden by 43%, 67%, 76%, and 50%, while only missing 3.4%, 2.2%, 0.3%, and 0.2% of TP days, respectively. Ultimately, 97%, 99%, 99%, and 99% of devices with a TP AF, tachycardia, bradycardia, or pause EGM exhibited no diagnostic delay vs. reviewing all transmitted EGMs.
Conclusion
EGM prioritization rules for selecting up to 3 episodes/day significantly reduced EGM burden across all patients, not just "frequent fliers," with no delay-to-diagnosis in >97% of patients who exhibited a true arrhythmia. Implementing these rules on the patient care network may improve clinical workflow and ICM patient management. Abstract Figure.
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Affiliation(s)
- RS Gardner
- Golden Jubilee National Hospital, Clydebank, United Kingdom of Great Britain & Northern Ireland
| | - F Quartieri
- Arcispedale Santa Maria Nuova, Reggio Emilia, Italy
| | - TR Betts
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom of Great Britain & Northern Ireland
| | - M Afzal
- Ohio State University Wexner Medical Center, Columbus, United States of America
| | - H Manyam
- Erlanger Health System, Chattanooga, United States of America
| | - N Badie
- Abbott, Sylmar, United States of America
| | - F Dawoud
- Abbott, Sylmar, United States of America
| | - L Sabet
- Abbott, Sylmar, United States of America
| | - K Davis
- Abbott, Sylmar, United States of America
| | - F Qu
- Abbott, Sylmar, United States of America
| | - K Ryu
- Abbott, Sylmar, United States of America
| | - J Ip
- Sparrow Clinical Research Institute, Lansing, United States of America
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Jung KJ, Mandija S, Kim JH, Ryu K, Jung S, Cui C, Kim SY, Park M, van den Berg CAT, Kim DH. Improving phase-based conductivity reconstruction by means of deep learning-based denoising of B 1 + phase data for 3T MRI. Magn Reson Med 2021; 86:2084-2094. [PMID: 33949721 DOI: 10.1002/mrm.28826] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 03/28/2021] [Accepted: 04/13/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE To denoise B 1 + phase using a deep learning method for phase-based in vivo electrical conductivity reconstruction in a 3T MR system. METHODS For B 1 + phase deep-learning denoising, a convolutional neural network (U-net) was chosen. Training was performed on data sets from 10 healthy volunteers. Input data were the real and imaginary components of single averaged spin-echo data (SNR = 45), which was used to approximate the B 1 + phase. For label data, multiple signal-averaged spin-echo data (SNR = 128) were used. Testing was performed on in silico and in vivo data. Reconstructed conductivity maps were derived using phase-based conductivity reconstructions. Additionally, we investigated the usability of the network to various SNR levels, imaging contrasts, and anatomical sites (ie, T1 , T2 , and proton density-weighted brain images and proton density-weighted breast images. In addition, conductivity reconstructions from deep learning-based denoised data were compared with conventional image filters, which were used for data denoising in electrical properties tomography (ie, the Gaussian filtering and the Savitzky-Golay filtering). RESULTS The proposed deep learning-based denoising approach showed improvement for B 1 + phase for both in silico and in vivo experiments with reduced quantitative error measures compared with other methods. Subsequently, this resulted in an improvement of reconstructed conductivity maps from the denoised B 1 + phase with deep learning. CONCLUSION The results suggest that the proposed approach can be used as an alternative preprocessing method to denoise B 1 + maps for phase-based conductivity reconstruction without relying on image filters or signal averaging.
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Affiliation(s)
- Kyu-Jin Jung
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Stefano Mandija
- Computational Imaging Group for MR Diagnostic & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jun-Hyeong Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Kanghyun Ryu
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.,Department of Radiology, Stanford University, Stanford, California, USA
| | - Soozy Jung
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Chuanjiang Cui
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Soo-Yeon Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Mina Park
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Cornelis A T van den Berg
- Computational Imaging Group for MR Diagnostic & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
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Ryu K, Lee JH, Nam Y, Gho SM, Kim HS, Kim DH. Accelerated multicontrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networks. Med Phys 2021; 48:2939-2950. [PMID: 33733464 DOI: 10.1002/mp.14848] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 03/12/2021] [Accepted: 03/12/2021] [Indexed: 11/10/2022] Open
Abstract
PURPOSE Synthetic magnetic resonance imaging (MRI) requires the acquisition of multicontrast images to estimate quantitative parameter maps, such as T1 , T2 , and proton density (PD). The study aims to develop a multicontrast reconstruction method based on joint parallel imaging (JPI) and joint deep learning (JDL) to enable further acceleration of synthetic MRI. METHODS The JPI and JDL methods are extended and combined to improve reconstruction for better-quality, synthesized images. JPI is performed as a first step to estimate the missing k-space lines, and JDL is then performed to correct and refine the previous estimate with a trained neural network. For the JDL architecture, the original variable splitting network (VS-Net) is modified and extended to form a joint variable splitting network (JVS-Net) to apply to multicontrast reconstructions. The proposed method is designed and tested for multidynamic multiecho (MDME) images with Cartesian uniform under-sampling using acceleration factors between 4 and 8. RESULTS It is demonstrated that the normalized root-mean-square error (nRMSE) is lower and the structural similarity index measure (SSIM) values are higher with the proposed method compared to both the JPI and JDL methods individually. The method also demonstrates the potential to produce a set of synthesized contrast-weighted images that closely resemble those from the fully sampled acquisition without erroneous artifacts. CONCLUSION Combining JPI and JDL enables the reconstruction of highly accelerated synthetic MRIs.
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Affiliation(s)
- Kanghyun Ryu
- Department of Radiology, Stanford University, Stanford, CA, USA.,Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Jae-Hun Lee
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Yoonho Nam
- Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea
| | - Sung-Min Gho
- MR Collaboration and Development, GE Healthcare, Seoul, Republic of Korea
| | - Ho-Sung Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
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Ryu K, Lee T, Baek D, Park J, Kim N. A study on accumulator analysis for the valve performance evaluation system of nuclear power plants. KERNTECHNIK 2021. [DOI: 10.1515/kern-2019-0080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
To evaluate the valves used in the nuclear power plants are working properly under the required conditions, the performance and capacity test should be performed. In the test system, the accumulator was employed to control the large amount of high pressure and high temperature steam generated in the boiler precisely. In the accumulating process, the steam is often condensed. In order to prevent condensation, it is needed to install heaters and preheat the accumulator. However, if the size of the accumulator becomes large, the installation of the heater may not be easy. Therefore, when the test is conducted, the system was preheated by the latent heat generated from the phase change. Insufficient thermal insulation may cause temperature differences and it can cause mechanical problems in the accumulator structure. If insulation is sufficient, the temperature difference is indicated by the height. As the cooled condensate moves downwards, the condensate is discharged by the drain valve control and the temperature difference of the structure can be disappeared. The results of this paper can be applied to the conceptualization of equipment that uses latent heat and for the design of high-precision steam experimental devices or the design of high-capacity steam utilization systems.
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Affiliation(s)
- K. Ryu
- Korea Institute of Machinery and Materials 156 Gajeongbuk-Ro Yuseong-Gu Daejeon 34103 Korea Republic of Korea
| | - T. Lee
- Korea Institute of Machinery and Materials 156 Gajeongbuk-Ro Yuseong-Gu Daejeon 34103 Korea Republic of Korea
| | - D. Baek
- Korea Institute of Machinery and Materials 156 Gajeongbuk-Ro Yuseong-Gu Daejeon 34103 Korea Republic of Korea
| | - J. Park
- Korea Institute of Machinery and Materials 156 Gajeongbuk-Ro Yuseong-Gu Daejeon 34103 Korea Republic of Korea
| | - N. Kim
- Korea Atomic Energy Research Institute 111, Daedeok-daero 989 beon-gil, Yuseong-gu Daejeon , Republic of Korea
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Jung S, Lee H, Ryu K, Song JE, Park M, Moon WJ, Kim DH. Artificial neural network for multi-echo gradient echo-based myelin water fraction estimation. Magn Reson Med 2020; 85:380-389. [PMID: 32686208 DOI: 10.1002/mrm.28407] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 06/09/2020] [Accepted: 06/09/2020] [Indexed: 02/01/2023]
Abstract
PURPOSE To demonstrate robust myelin water fraction (MWF) mapping using an artificial neural network (ANN) with multi-echo gradient-echo (GRE) signal. METHODS Multi-echo gradient-echo signals simulated with a three-pool exponential model were used to generate the training data set for the ANN, which was designed to yield the MWF. We investigated the performance of our proposed ANN for various conditions using both numerical simulations and in vivo data. Simulations were conducted with various SNRs to investigate the performance of the ANN. In vivo data with high spatial resolutions were applied in the analyses, and results were compared with MWFs derived by the nonlinear least-squares algorithm using a complex three-pool exponential model. RESULTS The network results for the simulations show high accuracies against noise compared with nonlinear least-squares MWFs: RMS-error value of 5.46 for the nonlinear least-squares MWF and 3.56 for the ANN MWF at an SNR of 150 (relative gain = 34.80%). These effects were also found in the in vivo data, with reduced SDs in the region-of-interest analyses. These effects of the ANN demonstrate the feasibility of acquiring high-resolution myelin water images. CONCLUSION The simulation results and in vivo data suggest that the ANN facilitates more robust MWF mapping in multi-echo gradient-echo sequences compared with the conventional nonlinear least-squares method.
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Affiliation(s)
- Soozy Jung
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Hongpyo Lee
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Kanghyun Ryu
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Jae Eun Song
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Mina Park
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Won-Jin Moon
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
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Thibault B, Richer LP, Relan J, Mcspadden L, Ryu K, Rivard L, Dyrda K, Dubuc M, Mondesert B, Cadrin-Tourigny J, Tadros R, Macle L, Khairy P, Gregoire J, Harel F. 668Principal component analysis can identify ventricular regions with highest variability in the arrhythmogenic substrate of ventricular tachycardia patients. Europace 2020. [DOI: 10.1093/europace/euaa162.233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Left ventricle (LV) substrate can be characterized by imaging modalities providing physiological variables (tissue perfusion, ischemia, etc.) grouped in a complex dataset. Principal Component Analysis (PCA) can identify the dataset variables that best explain its variance. Variables linked to substrate arrhythmogenicity will lead PCA to identify LV regions most influenced by the variables on a LV 3D geometry.
Purpose
To evaluate whether regions identified by PCA correspond to regions targeted by physicians in a ventricular tachycardia (VT) ablation procedure.
Methods
Ischemic VT subjects underwent SPECT/CT perfusion imaging (rest and stress) prior to LV voltage mapping with the cardiac mapping system. Co-registration allowed projection of ablation sites onto SPECT/CT geometries. PCA retrospectively analyzed the following dataset: tissue perfusion (rest and stress), tissue ischemia and the local (1cm2 sub-regions) stress-rest difference for: 1) standard deviation (STD) and 2) skewness (Skew). PCA components (PCAc) explaining ≥85% of the total variance were plotted on the LV 3D geometry to display regions highly influenced by the dataset variables (see figure below).
Results
Ten subjects (9 males, 66 ± 8 years old, LVEF 37 ± 11%) underwent co-registration. In 7/10 subjects, tissue perfusion (in PCAc#1) and ischemia (in PCAc#2) were most influential on LV regions variance. Ischemia and low perfusion (≤40%) areas equaled 32 ± 19 % of the LV with 21 ± 23% of these areas highly involved in the arrhythmogenic substrate (≥75% of explained LV variance). The location of 63 ± 18% of ablation sites were <1 cm from areas explaining ≥50% of LV variance.
Conclusion
Preliminary results showed that PCA can synthesize the influence of different perfusion derived variables, like tissue perfusion and ischemia, used in SPECT/CT imaging of the LV. Further analysis is needed to confirm whether this could be used to select VT ablation targets.
Abstract Figure.
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Affiliation(s)
- B Thibault
- Montreal Heart Institute, Montreal, Canada
| | - L P Richer
- Abbott Medical, Sylmar, United States of America
| | - J Relan
- Abbott Medical, Sylmar, United States of America
| | - L Mcspadden
- Abbott Medical, Sylmar, United States of America
| | - K Ryu
- Abbott Medical, Sylmar, United States of America
| | - L Rivard
- Montreal Heart Institute, Montreal, Canada
| | - K Dyrda
- Montreal Heart Institute, Montreal, Canada
| | - M Dubuc
- Montreal Heart Institute, Montreal, Canada
| | | | | | - R Tadros
- Montreal Heart Institute, Montreal, Canada
| | - L Macle
- Montreal Heart Institute, Montreal, Canada
| | - P Khairy
- Montreal Heart Institute, Montreal, Canada
| | - J Gregoire
- Montreal Heart Institute, Montreal, Canada
| | - F Harel
- Montreal Heart Institute, Montreal, Canada
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Swale M, Young G, Delacroix S, McSpadden L, Ryu K, Di Fiore D, Paul V, Santos M, Tan I, Conradie A, Duong M, Worthley S, Pavia S. 561 The Effect of Device Orientation on R-Wave Amplitudes in the ConfirmRx Cardiac Monitor. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Swale M, Young G, Paul V, Di Fiore D, Santos M, Tan I, Conradie A, Delacroix S, McSpadden L, Ryu K, Worthley S, Pavia S. 466 ConfirmRx Device Movement and R-Wave Amplitudes at 30 Days Post Implant. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Ryu K, Shin NY, Kim DH, Nam Y. Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural network. Magn Reson Imaging 2019; 64:13-20. [DOI: 10.1016/j.mri.2019.04.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/13/2019] [Accepted: 04/02/2019] [Indexed: 11/25/2022]
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Ryu K, Nam Y, Gho SM, Jang J, Lee HJ, Cha J, Baek HJ, Park J, Kim DH. Data-driven synthetic MRI FLAIR artifact correction via deep neural network. J Magn Reson Imaging 2019; 50:1413-1423. [PMID: 30884007 DOI: 10.1002/jmri.26712] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/22/2019] [Accepted: 02/22/2019] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND FLAIR (fluid attenuated inversion recovery) imaging via synthetic MRI methods leads to artifacts in the brain, which can cause diagnostic limitations. The main sources of the artifacts are attributed to the partial volume effect and flow, which are difficult to correct by analytical modeling. In this study, a deep learning (DL)-based synthetic FLAIR method was developed, which does not require analytical modeling of the signal. PURPOSE To correct artifacts in synthetic FLAIR using a DL method. STUDY TYPE Retrospective. SUBJECTS A total of 80 subjects with clinical indications (60.6 ± 16.7 years, 38 males, 42 females) were divided into three groups: a training set (56 subjects, 62.1 ± 14.8 years, 25 males, 31 females), a validation set (1 subject, 62 years, male), and the testing set (23 subjects, 57.3 ± 20.4 years, 13 males, 10 females). FIELD STRENGTH/SEQUENCE 3 T MRI using a multiple-dynamic multiple-echo acquisition (MDME) sequence for synthetic MRI and a conventional FLAIR sequence. ASSESSMENT Normalized root mean square (NRMSE) and structural similarity (SSIM) were computed for uncorrected synthetic FLAIR and DL-corrected FLAIR. In addition, three neuroradiologists scored the three FLAIR datasets blindly, evaluating image quality and artifacts for sulci/periventricular and intraventricular/cistern space regions. STATISTICAL TESTS Pairwise Student's t-tests and a Wilcoxon test were performed. RESULTS For quantitative assessment, NRMSE improved from 4.2% to 2.9% (P < 0.0001) and SSIM improved from 0.85 to 0.93 (P < 0.0001). Additionally, NRMSE values significantly improved from 1.58% to 1.26% (P < 0.001), 3.1% to 1.5% (P < 0.0001), and 2.7% to 1.4% (P < 0.0001) in white matter, gray matter, and cerebral spinal fluid (CSF) regions, respectively, when using DL-corrected FLAIR. For qualitative assessment, DL correction achieved improved overall quality, fewer artifacts in sulci and periventricular regions, and in intraventricular and cistern space regions. DATA CONCLUSION The DL approach provides a promising method to correct artifacts in synthetic FLAIR. LEVEL OF EVIDENCE 4 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1413-1423.
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Affiliation(s)
- Kanghyun Ryu
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Yoonho Nam
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea
| | - Sung-Min Gho
- MR Clinical research and Development, GE Healthcare, Seoul, Republic of Korea
| | - Jinhee Jang
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea
| | - Ho-Joon Lee
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.,Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Republic of Korea
| | - Jihoon Cha
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hye Jin Baek
- Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - Jiyong Park
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
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Affiliation(s)
- Doohee Lee
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Institute of Engineering Research, Seoul National University, Seoul, Korea
| | - Jingu Lee
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Institute of Engineering Research, Seoul National University, Seoul, Korea
| | - Jingyu Ko
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Institute of Engineering Research, Seoul National University, Seoul, Korea
| | - Jaeyeon Yoon
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Institute of Engineering Research, Seoul National University, Seoul, Korea
| | - Kanghyun Ryu
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea
| | - Yoonho Nam
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Ryu K, Shin J, Lee H, Kim JH, Kim DH. Multi-echo GRE-based conductivity imaging using Kalman phase estimation method. Magn Reson Med 2018; 81:702-710. [DOI: 10.1002/mrm.27376] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 04/18/2018] [Accepted: 05/04/2018] [Indexed: 01/26/2023]
Affiliation(s)
- Kanghyun Ryu
- Department of Electrical and Electronic Engineering; Yonsei University; Seoul Korea
| | - Jaewook Shin
- Department of Electrical and Electronic Engineering; Yonsei University; Seoul Korea
| | - Hongpyo Lee
- Department of Electrical and Electronic Engineering; Yonsei University; Seoul Korea
| | - Jun-Hyeong Kim
- Department of Electrical and Electronic Engineering; Yonsei University; Seoul Korea
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering; Yonsei University; Seoul Korea
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Doering M, Markovitz C, Ryu K, Hindricks G, Sommer P, Richter S. 688Comparison of left ventricular electrical delay and mechanical contractions between intrinsic and right ventricular paced configurations during cardiac resynchronization therapy. Europace 2018. [DOI: 10.1093/europace/euy015.333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- M Doering
- Heart Center of Leipzig, Leipzig, Germany
| | | | - K Ryu
- Abbott, Sylmar, United States of America
| | | | - P Sommer
- Heart Center of Leipzig, Leipzig, Germany
| | - S Richter
- Heart Center of Leipzig, Leipzig, Germany
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Thibault B, Richer LP, Mcspadden LC, Ryu K, Mondesert B, Rivard L, Dyrda K, Dubuc M, Macle L, Guerra PG, Khairy P, Tadros R, Finnerty V, Gregoire J, Harel F. P775Extra-cardiac and intra-cardiac landmarks used in combination can increase registration accuracy between nuclear imaging and electro-anatomical 3D geometries. Europace 2018. [DOI: 10.1093/europace/euy015.379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- B Thibault
- Montreal Heart Institute, Montreal, Canada
| | - L P Richer
- Abbott, Sylmar, United States of America
| | | | - K Ryu
- Abbott, Sylmar, United States of America
| | | | - L Rivard
- Montreal Heart Institute, Montreal, Canada
| | - K Dyrda
- Montreal Heart Institute, Montreal, Canada
| | - M Dubuc
- Montreal Heart Institute, Montreal, Canada
| | - L Macle
- Montreal Heart Institute, Montreal, Canada
| | - P G Guerra
- Montreal Heart Institute, Montreal, Canada
| | - P Khairy
- Montreal Heart Institute, Montreal, Canada
| | - R Tadros
- Montreal Heart Institute, Montreal, Canada
| | - V Finnerty
- Montreal Heart Institute, Montreal, Canada
| | - J Gregoire
- Montreal Heart Institute, Montreal, Canada
| | - F Harel
- Montreal Heart Institute, Montreal, Canada
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Ryu K, Kim Y, Chung Y, Chey Y, Kang Y. C-43Relationship Between Vocabulary And Verbal / Visual Memory For Baseline Use Of Memory Impairment. Arch Clin Neuropsychol 2017. [DOI: 10.1093/arclin/acx076.210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Affiliation(s)
- Y. Song
- Pusan national university, Busan, Korea (the Republic of)
| | - K. Ryu
- Pusan national university, Busan, Korea (the Republic of)
| | - B. Shin
- Pusan national university, Busan, Korea (the Republic of)
| | - S. Choi
- Pusan national university, Busan, Korea (the Republic of)
| | - Y. Choi
- Pusan national university, Busan, Korea (the Republic of)
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Prinzen FW, Engels EB, Rordorf R, Lercher P, Lunati M, Landolina M, Badie N, Qu F, Ryu K, Singh JP, Leclercq C. P449Vectorcardiography illustrates enhanced electrical synchronization by multiPoint pacing. Europace 2017. [DOI: 10.1093/ehjci/eux141.172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Pappone C, alovi A, Cuko A, McSpadden LC, Ryu K, Jordan CD, Saviano M, Baldi M, Pappone A, Dozza L, Giannelli L, Fragakis N, Vicedomini G, Santinelli V. Multipoint left ventricular pacing provides additional echocardiographic benefit to responders and non-responders to conventional cardiac resynchronization therapy. Eur Heart J Suppl 2015. [DOI: 10.1093/eurheartj/suv005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Shahgaldi K, Hegner T, Da Silva C, Fukuyama A, Takeuchi M, Uema A, Kado Y, Nagata Y, Hayashi A, Otani K, Fukuda S, Yoshitani H, Otsuji Y, Morhy S, Lianza A, Afonso T, Oliveira W, Tavares G, Rodrigues A, Vieira M, Warth A, Deutsch A, Fischer C, Tezynska-Oniszk I, Turska-Kmiec A, Kawalec W, Dangel J, Maruszewski B, Bokiniec R, Burczynski P, Borszewska-Kornacka K, Ziolkowska L, Zuk M, Troshina A, Dzhalilova D, Poteshkina N, Hamitov F, Warita S, Kawasaki M, Tanaka R, Yagasaki H, Minatoguchi S, Wanatabe T, Ono K, Noda T, Wanatabe S, Minatoguchi S, Angelis A, Ageli K, Vlachopoulos C, Felekos I, Ioakimidis N, Aznaouridis K, Vaina S, Abdelrasoul M, Tsiamis E, Stefanadis C, Cameli M, Sparla S, D'ascenzi F, Fineschi M, Favilli R, Pierli C, Henein M, Mondillo S, Lindqvist P, Tossavainen E, Gonzalez M, Soderberg S, Henein M, Holmgren A, Strachinaru M, Catez E, Jousten I, Pavel O, Janssen C, Morissens M, Chatzistamatiou E, Moustakas G, Memo G, Konstantinidis D, Mpampatzeva Vagena I, Manakos K, Traxanas K, Vergi N, Feretou A, Kallikazaros I, Tsai WC, Sun YT, Lee WH, Yang LT, Liu YW, Lee CH, Li WT, Mizariene V, Bieseviciene M, Karaliute R, Verseckaite R, Vaskelyte J, Lesauskaite V, Chatzistamatiou E, Mpampatseva Vagena I, Manakos K, Moustakas G, Konstantinidis D, Memo G, Mitsakis O, Kasakogias A, Syros P, Kallikazaros I, Hristova K, Cornelissen G, Singh R, Shiue I, Coisne D, Madjalian AM, Tchepkou C, Raud Raynier P, Degand B, Christiaens L, Baldenhofer G, Spethmann S, Dreger H, Sanad W, Baumann G, Stangl K, Stangl V, Knebel F, Azzaz S, Kacem S, Ouali S, Risos L, Dedobbeleer C, Unger P, Sinem Cakal S, Elif Eroglu E, Baydar O, Beytullah Cakal B, Mehmet Vefik Yazicioglu M, Mustafa Bulut M, Cihan Dundar C, Kursat Tigen K, Birol Ozkan B, Ali Metin Esen A, Tournoux F, Chequer R, Sroussi M, Hyafil F, Rouzet F, Leguludec D, Baum P, Stoebe S, Pfeiffer D, Hagendorff A, Fang F, Lau M, Zhang Q, Luo X, Wang X, Chen L, Yu C, Zaborska B, Smarz K, Makowska E, Kulakowski P, Budaj A, Bengrid TM, Zhao Y, Henein MY, Caminiti G, D'antoni V, Cardaci V, Conti V, Volterrani M, Warita S, Kawasaki M, Yagasaki H, Minatoguchi S, Nagaya M, Ono K, Noda T, Watanabe S, Houle H, Minatoguchi S, Gillebert TC, Chirinos JA, Claessens TC, Raja MW, De Buyzere ML, Segers P, Rietzschel ER, Kim K, Cha J, Chung H, Kim J, Yoon Y, Lee B, Hong B, Rim S, Kwon H, Choi E, Pyankov V, Aljaroudi W, Matta S, Al-Shaar L, Habib R, Gharzuddin W, Arnaout S, Skouri H, Jaber W, Abchee A, Bouzas Mosquera A, Peteiro J, Broullon F, Constanso Conde I, Bescos Galego H, Martinez Ruiz D, Yanez Wonenburger J, Vazquez Rodriguez J, Alvarez Garcia N, Castro Beiras A, Gunyeli E, Oliveira Da Silva C, Shahgaldi K, Manouras A, Winter R, Meimoun P, Abouth S, Martis S, Boulanger J, Elmkies F, Zemir H, Detienne J, Luycx-Bore A, Clerc J, Rodriguez Palomares JF, Gutierrez L, Maldonado G, Garcia G, Galuppo V, Gruosso D, Teixido G, Gonzalez Alujas M, Evangelista A, Garcia Dorado D, Rechcinski T, Wierzbowska-Drabik K, Wejner-Mik P, Szymanska B, Jerczynska H, Lipiec P, Kasprzak J, El-Touny K, El-Fawal S, Loutfi M, El-Sharkawy E, Ashour S, Boniotti C, Carminati M, Fusini L, Andreini D, Pontone G, Pepi M, Caiani E, Oryshchyn N, Kramer B, Hermann S, Liu D, Hu K, Ertl G, Weidemann F, Ancona F, Miyazaki S, Slavich M, Figini F, Latib A, Chieffo A, Montorfano M, Alfieri O, Colombo A, Agricola E, Nogueira M, Branco L, Rosa S, Portugal G, Galrinho A, Abreu J, Cacela D, Patricio L, Fragata J, Cruz Ferreira R, Igual Munoz B, Erdociain Perales M, Maceira Gonzalez A, Estornell Erill Jordi J, Donate Bertolin L, Vazquez Sanchez Alejandro A, Miro Palau Vicente V, Cervera Zamora A, Piquer Gil M, Montero Argudo A, Girgis HYA, Illatopa V, Cordova F, Espinoza D, Ortega J, Khan U, Islam A, Majumder A, Girgis HYA, Bayat F, Naghshbandi E, Naghshbandi E, Samiei N, Samiei N, Malev E, Omelchenko M, Vasina L, Zemtsovsky E, Piatkowski R, Kochanowski J, Budnik M, Scislo P, Opolski G, Kochanowski J, Piatkowski R, Scislo P, Budnik M, Marchel M, Opolski G, Abid L, Ben Kahla S, Abid D, Charfeddine S, Maaloul I, Ben Jmaa M, Kammoun S, Hashimoto G, Suzuki M, Yoshikawa H, Otsuka T, Isekame Y, Yamashita H, Kawase I, Ozaki S, Nakamura M, Sugi K, Benvenuto E, Leggio S, Buccheri S, Bonura S, Deste W, Tamburino C, Monte IP, Gripari P, Fusini L, Muratori M, Tamborini G, Ghulam Ali S, Bottari V, Cefalu' C, Bartorelli A, Agrifoglio M, Pepi M, Zambon E, Iorio A, Di Nora C, Abate E, Lo Giudice F, Di Lenarda A, Agostoni P, Sinagra G, Timoteo AT, Galrinho A, Moura Branco L, Rio P, Aguiar Rosa S, Oliveira M, Silva Cunha P, Leal A, Cruz Ferreira R, Zemanek D, Tomasov P, Belehrad M, Kostalova J, Kara T, Veselka J, Hassanein M, El Tahan S, El Sharkawy E, Shehata H, Yoon Y, Choi H, Seo H, Lee S, Kim H, Youn T, Kim Y, Sohn D, Choi G, Mielczarek M, Huttin O, Voilliot D, Sellal J, Manenti V, Carillo S, Olivier A, Venner C, Juilliere Y, Selton-Suty C, Butz T, Faber L, Brand M, Piper C, Wiemer M, Noelke J, Sasko B, Langer C, Horstkotte D, Trappe H, Maysou L, Tessonnier L, Jacquier A, Serratrice J, Copel C, Stoppa A, Seguier J, Saby L, Verschueren A, Habib G, Petroni R, Bencivenga S, Di Mauro M, Acitelli A, Cicconetti M, Romano S, Petroni A, Penco M, Maceira Gonzalez AM, Cosin-Sales J, Igual B, Sancho-Tello R, Ruvira J, Mayans J, Choi J, Kim S, Almeida A, Azevedo O, Amado J, Picarra B, Lima R, Cruz I, Pereira V, Marques N, Chatzistamatiou E, Konstantinidis D, Manakos K, Mpampatseva Vagena I, Moustakas G, Memo G, Mitsakis O, Kasakogias A, Syros P, Kallikazaros I, Cho E, Kim J, Hwang B, Kim D, Jang S, Jeon H, Cho J, Chatzistamatiou E, Konstantinidis D, Memo G, Mpapatzeva Vagena I, Moustakas G, Manakos K, Traxanas K, Vergi N, Feretou A, Kallikazaros I, Jedrzejewska I, Konopka M, Krol W, Swiatowiec A, Dluzniewski M, Braksator W, Sefri Noventi S, Sugiri S, Uddin I, Herminingsih S, Arif Nugroho M, Boedijitno S, Caro Codon J, Blazquez Bermejo Z, Valbuena Lopez SC, Lopez Fernandez T, Rodriguez Fraga O, Torrente Regidor M, Pena Conde L, Moreno Yanguela M, Buno Soto A, Lopez-Sendon JL, Stevanovic A, Dekleva M, Kim M, Kim S, Kim Y, Shim J, Park S, Park S, Kim Y, Shim W, Kozakova M, Muscelli E, Morizzo C, Casolaro A, Paterni M, Palombo C, Bayat F, Nazmdeh M, Naghshbandi E, Nateghi S, Tomaszewski A, Kutarski A, Brzozowski W, Tomaszewski M, Nakano E, Harada T, Takagi Y, Yamada M, Takano M, Furukawa T, Akashi Y, Lindqvist G, Henein M, Backman C, Gustafsson S, Morner S, Marinov R, Hristova K, Geirgiev S, Pechilkov D, Kaneva A, Katova T, Pilosoff V, Pena Pena M, Mesa Rubio D, Ruiz Ortin M, Delgado Ortega M, Romo Penas E, Pardo Gonzalez L, Rodriguez Diego S, Hidalgo Lesmes F, Pan Alvarez-Ossorio M, Suarez De Lezo Cruz-Conde J, Gospodinova M, Sarafov S, Guergelcheva V, Vladimirova L, Tournev I, Denchev S, Mozenska O, Segiet A, Rabczenko D, Kosior D, Gao S, Eliasson M, Polte C, Lagerstrand K, Bech-Hanssen O, Morosin M, Piazza R, Leonelli V, Leiballi E, Pecoraro R, Cinello M, Dell' Angela L, Cassin M, Sinagra G, Nicolosi G, Savu 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Poster session 3: Thursday 4 December 2014, 14:00-18:00 * Location: Poster area. Eur Heart J Cardiovasc Imaging 2014. [DOI: 10.1093/ehjci/jeu253] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Ryu K, Iriuchishima T, Oshida M, Kato Y, Saito A, Imada M, Aizawa S, Tokuhashi Y, Ryu J. The prevalence of and factors related to calcium pyrophosphate dihydrate crystal deposition in the knee joint. Osteoarthritis Cartilage 2014; 22:975-9. [PMID: 24814686 DOI: 10.1016/j.joca.2014.04.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Revised: 03/22/2014] [Accepted: 04/23/2014] [Indexed: 02/02/2023]
Abstract
OBJECTIVES The purpose of this study was to reveal the accurate prevalence and related factors to the presence of calcium pyrophosphate dihydrate (CPPD) crystal deposition in cadaveric knee joints. DESIGN Controlled laboratory study. METHODS Six hundred and eight knees from 304 cadavers (332 male knees and 276 female knees, formalin fixed, Japanese anatomical specimens) were included in this study. The average age of the cadavers was 78.3 ± 10.7 years. Knees were macroscopically evaluated for the existence of CPPD, and the depth of cartilage degeneration of the femoro-tibial joint following the Outerbridge's classification. CPPD crystal was confirmed under Fourier transform infrared spectroscopy (FTIR) analysis using light microscopy. Statistical analysis was performed to reveal the correlation between the occurrence of CPPD deposition in the knee joint and gender, age, and the depth of cartilage degeneration of the femoro-tibial joint. RESULTS The prevalence of grossly visible CPPD crystal was 13% (79 knees). In all of these knees, CPPD crystal was confirmed under FTIR analysis. Statistical analysis showed significant correlation between the occurrence of CPPD deposition and gender (P < 0.001), and depth of cartilage degeneration in the femoro-tibial joint (P < 0.001). In the cartilage degeneration positive knees (Over grade 3 in Outerbridge's classification), average age of CPPD deposition knee was significantly higher than CPPD negative knees. CONCLUSIONS In this study, the prevalence of CPPD deposition disease was evaluated in a relatively large sample size of cadaveric knees. The prevalence of CPPD deposition disease was 13%, and was significantly correlated with the subject's age, gender, and severity of cartilage degeneration in the femoro-tibial joint.
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Affiliation(s)
- K Ryu
- Department of Orthopaedic Surgery, Surugadai Nihon University Hospital, Tokyo, Japan.
| | - T Iriuchishima
- Department of Orthopaedic Surgery, Kamimoku Hot Springs Hospital, Minakami, Japan.
| | - M Oshida
- Departments of Orthopaedic Surgery, Kasai Shouikai Hospital, Tokyo, Japan.
| | - Y Kato
- Departments of Orthopaedic Surgery, Nihon University School of Medicine, Tokyo, Japan.
| | - A Saito
- Department of Orthopaedic Surgery, Surugadai Nihon University Hospital, Tokyo, Japan.
| | - M Imada
- Departments of Functional Morphology, Nihon University School of Medicine, Tokyo, Japan.
| | - S Aizawa
- Departments of Functional Morphology, Nihon University School of Medicine, Tokyo, Japan.
| | - Y Tokuhashi
- Departments of Orthopaedic Surgery, Nihon University School of Medicine, Tokyo, Japan.
| | - J Ryu
- Departments of Orthopaedic Surgery, Nihon University School of Medicine, Tokyo, Japan.
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Goebel B, Stiller C, Moritz A, Sakata K, Uesugo Y, Kimura G, Ishiguro M, Takemoto K, Minamishima T, Futuya M, Satoh T, Yoshino H, Miyoshi T, Tanaka H, Kaneko A, Matsumoto K, Imanishi J, Motoji Y, Mochizuki Y, Minami H, Kawai H, Hirata K, Wutthimanop A, See O, Vathesathokit P, Yamwong S, Sritara P, Rosner A, Kildal A, Stenberg T, Myrmel T, How O, Capriolo M, Frea S, Giustetto C, Scrocco C, Benedetto S, Grosso Marra W, Morello M, Gaita F, Garcia-Gonzalez P, Cozar-Santiago P, Chacon-Hernandez N, Ferrando-Beltran M, Fabregat-Andres O, De La Espriella-Juan R, Fontane-Martinez C, Jurado-Sanchez R, Morell-Cabedo S, Ridocci-Soriano F, Mihaila S, Piasentini E, Muraru D, Peluso D, Casablanca S, Puma L, Naso P, Iliceto S, Vinereanu D, Badano L, Tarzia P, Villano A, Figliozzi S, Russo G, Parrinello R, Lamendola P, Sestito A, Lanza G, Crea F, Sulemane S, Panoulas V, Bratsas A, Frankel A, Nihoyannopoulos P, Dores H, Andrade M, Almeida M, Goncalves P, Branco P, Gaspar A, Gomes A, Horta E, Carvalho M, Mendes M, Yue W, Li X, Chen Y, Luo Y, Gu P, Yiu K, Siu C, Tse H, Cho E, Lee S, Hwang B, Kim D, Jang S, Jeon H, Youn H, Kim J. Poster session Thursday 12 December - PM: 12/12/2013, 14:00-18:00 * Location: Poster area. Eur Heart J Cardiovasc Imaging 2013. [DOI: 10.1093/ehjci/jet204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Ryu K, Kang H, Yoo M, Kim J, Kim S, Wie G. Comparison of Nutrient Intake and Diet Quality between Hyperuricemia and Controls : A Cancer Screening Examination Cohort in Korea. J Acad Nutr Diet 2013. [DOI: 10.1016/j.jand.2013.06.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Pappone C, Calovic Z, Cuko A, Mcspadden LC, Ryu K, Saviano M, Pappone A, Moscatiello M, Fundaliotis A, Baldi M. Correlation of different pressure-volume loop parameters during biventricular pacing in heart failure patients. Eur Heart J 2013. [DOI: 10.1093/eurheartj/eht309.p3175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Park J, Lee S, Ryu S, Ryu K, Kang S, Park E, Lee H, Lee J, Jung H, Shin D. The Protective Effect of Novel Small Molecule Inhibitor (SKI2162) of Transforming Growth Factor-β Receptor against Radiation-induced Fibrosis. Int J Radiat Oncol Biol Phys 2011. [DOI: 10.1016/j.ijrobp.2011.06.1278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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Deshmukh A, Sharma SS, Gobal FG, Singla SS, Hebbar PH, Paydak HP, Igarashi M, Tada H, Sekiguchi Y, Yamasaki H, Kuroki K, Machino T, Yoshida K, Aonuma K, Shavadia J, Otieno H, Yonga G, Jinah A, Qvist JF, Soerensen PH, Dixen U, Ramirez-Marrero MA, Perez-Villardon B, Gaitan-Roman D, Jimenez-Navarro M, Delgado-Prieto JL, De Teresa-Galvan E, De Mora-Martin M, Deshmukh A, Hebbar PB, Wei WX, Gobal FG, Singla SS, Sharma SS, Paydak HP, Bardari S, Zecchin M, Salame' R, Vitali Serdoz L, Di Lenarda A, Guerrini N, Barbati G, Sinagra G, Hanazawa K, Kaitani K, Nakagawa Y, Lenaerts I, Driesen R, Hermida N, Heidbuchel H, Janssens S, Balligand JL, Sipido KR, Willems R, Sehra R, Krummen D, Briggs C, Narayan S, Tanaka Y, Hirao K, Nakamura T, Inaba O, Yagishita A, Higuchi K, Hachiya H, Isobe M, Kallergis E, Kanoupakis EM, Mavrakis HE, Goudis CA, Maliaraki NE, Vardas PE, Sehra R, Krummen D, Briggs C, Narayan S, Kiuchi K, Piorkowski C, Kircher S, Gaspar T, Watanabe N, Bollmann A, Hindricks G, Wauters K, Grosse A, Raffa S, Brunelli M, Geller JC, Maggioni AP, Gonzini L, Gussoni G, Vescovo G, Gulizia M, Pirelli S, Mathieu G, Di Pasquale G, Zecchin M, Bardari S, Vitali Serdoz L, Salame R, Buja G, Rovai N, Gargaro A, Sperzel J, Knops RE, Meine M, Speca G, Santini L, Haarbo J, Dubin K, Di Lenarda A, Carlson M, Garcia Quintana A, Mendoza-Lemes H, Garcia Perez L, Led Ramos S, Caballero Dorta E, Matinez De Espronceda M, Piro Mastracchio V, Serrano Arriezu L, Sciarra L, Barbati G, Marziali M, Marras E, Rebecchi M, Allocca G, Lioy E, Delise P, Calo' L, Santobuono VE, Iacoviello M, Nacci F, Magnani S, Luzzi G, Puzzovivo A, Memeo M, Quadrini F, Favale S, Trucco ME, Arce M, Palazzolo J, Uribe W, Baranchuk A, Sinagra G, Femenia F, Maggi R, Furukawa T, Croci F, Solano A, Brignole M, Lebreiro A, Sousa A, Correia AS, Lourenco P, Sakamoto T, Oliveira S, Paiva M, Freitas J, Maciel MJ, Linker N, Rieger G, Garutti C, Edvardsson N, Salguero Bodes R, De Riva Silva M, Kumagai K, Fontenla Cerezuela A, Lopez Gil M, Mejia Martinez E, Jurado Roman A, Garcia Alvarez S, Arribas Ynsaurriaga F, Petix NR, Del Rosso A, Guarnaccia V, Zipoli A, Fuke E, Rabajoli F, Foglia Manzillo G, Tolardo C, Checchinato C, Chiaravallotti S, Santarone M, Spinnler MT, Podoleanu C, Maggi R, Brignole M, Nishiuchi S, Frigy A, Dobreanu D, Ginghina C, Carasca E, Hayashi T, Miki Y, Naito S, Oshima S, Hof IE, Vonken E, Velthuis BK, Meine M, Hauer RNW, Loh KP, Na JO, Choi CU, Kim EJ, Rha SW, Park CG, Seo HS, Oh DJ, Lim HE, Igarashi M, Tada H, Sekiguchi Y, Yamasaki H, Kuroki K, Machino T, Yoshida K, Aonuma K, Wichterle D, Bulkova V, Fiala M, Chovancik J, Simek J, Peichl P, Cihak R, Kautzner J, Glick A, Viskin S, Belhassen B, Navarrete A, Conte F, Ishti A, Sai D, Moran M, Chitovova Z, Ahmed H, Mares K, Skoda J, Sediva L, Petru J, Reddy VY, Neuzil P, Schmidt M, Dorwarth U, Leber A, Wankerl M, Krieg J, Straube F, Reif S, Hoffmann E, Mikhaylov E, Tikhonenko V, Lebedev D, Lim HE, Shin SY, Yong HS, Choi CU, Choi JI, Kim SH, Kim EJ, Na JO, Matsuo S, Yamane T, Hioki M, Ito K, Narui R, Date T, Sugimoto K, Yoshimura M, Rolf S, Piorkowski C, Gaspar T, Sommer P, Hindricks G, Batalov R, Popov S, Antonchenko I, Suslova T, Fichtner S, Czudnochowsky U, Estner HL, Ammar S, Reents T, Jilek C, Hessling G, Deisenhofer I, Pokushalov E, Romanov A, Corbucci G, Artemenko S, Losik D, Shabanov V, Turov A, Elesin D, Mikhaylov E, Abramov M, Lebedev D, Piorkowski C, Sanders P, Jais P, Roberts-Thomson K, Hindricks G, Fukumoto K, Takatsuki S, Kimura T, Nishiyama N, Aizawa Y, Sato T, Miyoshi S, Fukuda K, Roux Y, Tenkorang J, Carroz P, Schlaepfer J, Pascale P, Forclaz A, Fromer M, Pruvot E, Fiala M, Wichterle D, Bulkova V, Sknouril L, Nevralova R, Chovancik J, Dorda M, Januska J, Brunelli M, Grosse A, Santi R, Wauters K, Geller C, Kumagai K, Nakamura K, Hayashi T, Kasseno K, Naito S, Sakamoto T, Oshima S, Taniguchi K, Wutzler A, Rolf S, Huemer M, Parwani A, Boldt LH, Blaschke D, Dietz R, Haverkamp W, Coutu B, Malanuk R, Ait Said M, Vicentini A, Schade S, Ando K, Rousseauplasse A, Deering T, Picarra BC, Santos AR, Dionisio P, Semedo P, Matos R, Leitao M, Jacinto A, Trinca M, Wan C, Glad J, Szymkiewicz S, Habibovic M, Versteeg H, Pelle AJM, Theuns DAMJ, Jordaens L, Pedersen SS, Pakarinen S, Toivonen L, Reif S, Schade S, Taggeselle J, Frey A, Birkenhagen A, Kohler S, Schmidt M, Maier SKG, Lobitz N, Paule S, Becher J, Mustafa G, Ibrahim A, King G, Foley B, Wilkoff B, Freedman R, Hayes D, Kalbfleisch S, Kutalek S, Schaerf R, Fazal IA, Tynan M, Plummer CJ, Mccomb JM, Oto A, Aytemir K, Yorgun H, Canpolat U, Kaya EB, Tokgozoglu L, Kabakci G, Ozkutlu H, Greenberg S, Hamati F, Styperek R, Alonso J, Peress D, Bolanos O, Augostini R, Pelini M, Zhang S, Stoycos S, Witsaman S, Mowrey K, Bremer J, Oza A, Ciconte G, Mazzone P, Paglino G, Marzi A, Vergara P, Sora N, Gulletta S, Della Bella P, Nagashima M, Goya M, Soga Y, Hiroshima K, Andou K, Hayashi K, An Y, Nobuyoshi M, Kutarski A, Malecka B, Pietura R, Osmancik P, Herman D, Stros P, Kocka V, Tousek P, Linkova H, Bortnik M, Occhetta E, Dell'era G, Degiovanni A, Plebani L, Marino PN, Gorev MV, Alimov DG, Raju P, Kully S, Ugni S, Furniss S, Lloyd G, Patel NR, Richards MW, Warren CE, Anderson MH, Hero M, Rey JL, Ouali S, Azzez S, Kacem S, Hammas S, Ben Salem H, Neffeti E, Remedi F, Boughzela E, Kronborg MB, Mortensen PT, Poulsen SH, Nielsen JC, Simantirakis EN, Kontaraki JE, Arkolaki EG, Chrysostomakis SI, Nyktari EG, Patrianakos AP, Vardas PE, Funck RC, Harink C, Mueller HH, Koelsch S, Maisch B, Bortnik M, Occhetta E, Dell'era G, Degiovanni A, Bolzani V, Marino PN, Costandi P, Shehada RE, Butala N, Coppola B, Taborsky M, Heinc P, Fedorco M, Doupal V, Di Cori A, Zucchelli G, Soldati E, Segreti L, De Lucia R, Viani S, Paperini L, Bongiorni MG, Gutleben KJ, Kranig W, Barr C, Morgenstern MM, Simon M, Dalal YH, Landolina M, Pierantozzi A, Agricola T, Lunati M, Pisano' E, Lonardi G, Bardelli G, Zucchi G, Thibault B, Dubuc M, Karst E, Ryu K, Paiement P, Carlson MD, Farazi T, Alhous H, Mont L, Porres JM, Alzueta J, Beiras X, Fernandez-Lozano I, Macias A, Ruiz R, Brugada J, Viani SM, Segreti L, Di Cori A, Zucchelli G, Paperini L, Soldati E, De Lucia R, Bongiorni MG, Seifert M, Schau T, Moeller V, Meyhoefer J, Butter C, Ganiere V, Niculescu V, Domenichini G, Stettler C, Defaye P, Burri H, Stockburger M, De Teresa E, Lamas G, Desaga M, Koenig C, Cobo E, Navarro X, Wiegand U, Blich M, Carasso S, Suleiman M, Marai I, Gepstein L, Boulos M, Sasov M, Liska B, Margitfalvi P, Malacky T, Svetlosak M, Goncalvesova E, Hatala R, Takaya Y, Noda T, Yamada Y, Okamura H, Satomi K, Shimizu W, Aihara N, Kamakura S, Proclemer A, Boveda S, Oswald H, Scipione P, Rousseauplasse A, Da Costa A, Brzozowski W, Tomaszewski A, Kutarski A, Wysokinski A, Arbelo E, Tamborero D, Vidal B, Tolosana JM, Sitges M, Matas M, Brugada J, Mont L, Botto GL, Dicandia CD, Mantica M, La Rosa C, D' Onofrio A, Molon G, Raciti G, Verlato R, Foley PWX, Chalil S, Ratib K, Smith REA, Printzen F, Auricchio A, Leyva F, Abu Sham'a R, Buber J, Luria D, Kuperstein R, Feinberg M, Granit H, Eldar M, Glikson M, Osmancik P, Herman D, Stros P, Vondrak K, Abu Sham'a R, Nof E, Kuperstein R, Carasso S, Feinberg M, Lipchenca I, Eldar M, Glikson M, Vatasescu RG, Iorgulescu C, Caldararu C, Vasile A, Bogdan S, Constantinescu D, Dorobantu M, Sakaguchi H, Miyazaki A, Yamamoto T, Fujimoto K, Ono S, Ohuchi H, Martinelli M, Martins S, Molina R, Siqueira S, Nishioka SAD, Peixoto GL, Alkmim-Teixeira R, Costa R, Versteeg H, Meine MM, Tuinenburg AE, Doevendans PA, Denollet J, Pedersen SS, Goscinska-Bis K, Zupan I, Van Der H, Anselme F, Hartog H, Block M, Borri A, Padeletti L, Toniolo M, Zanotto G, Rossi A, Raytcheva E, Tomasi L, Vassanelli C, Fernandez Lozano I, Mitroi C, Toquero Ramos J, Castro Urda V, Monivas Palomero V, Corona Figueroa A, Ruiz Bautista L, Alonso Pulpon L, Jadidi AS, Sacher F, Shah AS, Scherr D, Derval N, Hocini M, Haissaguerre M, Jais P, Castrejon Castrejon S, Largo-Aramburu C, Sachar J, Gang E, Estrada A, Doiny D, De Miguel E, Merino JL, Vergara P, Trevisi N, Ricco A, Petracca F, Baratto F, Bisceglie A, Maccabelli G, Della Bella P, El-Damaty A, Sapp J, Warren J, Macinnis P, Horacek M, Dinov B, Schoenbauer R, Piorkowski C, Bollmann A, Sommer P, Braunschweig F, Hindricks G, Arya A, Andreu D, Berruezo A, Ortiz JT, Silva E, Mont L, De Caralt TM, Fernandez-Armenta J, Brugada J, Castrejon Castrejon S, Estrada A, Doiny D, Perez-Silva A, Ortega M, Lopez-Sendon JL, Merino JL, Regoli F, Faletra F, Nucifora G, Pasotti E, Moccetti T, Klersy C, Auricchio A, Casella M, Dello Russo A, Moltrasio M, Zucchetti M, Fassini G, Di Biase L, Natale A, Tondo C, Sakamoto T, Kumagai K, Matsuhashi N, Nishiuchi S, Fuke E, Hayashi T, Naito S, Oshima S, Weig HJ, Kerst G, Weretk S, Seizer P, Gawaz MP, Schreieck J, Sarquella-Brugada G, Prada F, Brugada J, Reents T, Ammar S, Fichtner S, Salling CM, Jilek C, Kolb C, Hessling G, Deisenhofer I, Pytkowski M, Maciag A, Farkowski M, Jankowska A, Kowalik I, Kraska A, Szwed H, Maury P, Hocini M, Sacher F, Duparc A, Mondoly P, Rollin A, Jais P, Haissaguerre M, Pap R, Kohari M, Bencsik G, Makai A, Saghy L, Forster T, Ebrille E, Scaglione M, Raimondo C, Caponi D, Di Donna P, Blandino A, Delcre SDL, Gaita F, Roca Luque I, Dos LDS, Rivas NRG, Pijuan APD, Perez J, Casaldaliga J, Garcia-Dorado DGD, Moya AMM, Sato H, Yagi T, Yambe T, Streitner F, Dietrich C, Mahl E, Schoene N, Veltmann C, Borggrefe M, Kuschyk J, Sadarmin PP, Wong KCK, Rajappan K, Bashir Y, Betts TR, Svetlosak M, Leclercq C, Martins R, Hatala R, Daubert JC, Mabo P, Koide M, Hamano G, Taniguchi T, Yamato M, Sasaki N, Hirooka K, Ikeda Y, Yasumura Y, Dichtl W, Wolber T, Paoli U, Bruellmann S, Berger T, Stuehlinger M, Duru F, Hintringer F, Kanoupakis E, Mavrakis H, Kallergis E, Koutalas E, Saloustros I, Goudis C, Chlouverakis G, Vardas P, Herre JM, Saeed M, Saberi L, Neuman S, An Y, Ando K, Goya M, Nagashima M, Yamaji K, Soga Y, Iwabuchi M, Nobuyoshi M, Baranchuk A, Femenia F, Miranda Hermosilla R, Lopez Diez JC, Serra JL, Valentino M, Retyk E, Galizio N, Kwasniewski W, Filipecki A, Orszulak W, Urbanczyk-Swic D, Trusz - Gluza M, Piot O, Degand B, Da Costa A, Donofrio A, Scanu P, Quesada A, Rousseauplasse A, Padeletti L, Kloppe A, Mijic D, Bogossian H, Zarse M, Lemke B, Tyler J, Comfort G, Kalbfleisch S, Deering TF, Epstein AE, Greenberg SMG, Goldman DS, Rhude J, Majewski JP, Lelakowski J, Tomala I, Santos CM, Miranda RS, Sousa PJ, Cavaco DM, Adragao PP, Knops RE, Wilde AA, Da Costa A, Belhameche M, Hermida JS, Dovellini E, Frohlig G, Siot P, Degand B, Duray GZ, Israel CW, Brachmann J, Seidl KH, Foresti M, Birkenhauer F, Hohnloser SH, Ferreira C, Mateus P, Ribeiro H, Carvalho S, Ferreira A, Moreira J, Kadro W, Rahim H, Turkmani M, Abu Lebdeh M, Altabban A, Raimondo C, Scaglione M, Ebrille E, Caponi D, Di Donna P, Cerrato N, Delcre SDL, Gaita F, Rivera S, Scazzuso F, Albina G, Klein A, Laino R, Sammartino V, Giniger A, Kvantaliani T, Akhvlediani M, Namdar M, Steffel J, Jetzer S, Bayrak F, Chierchia GB, Jenni R, Duru F, Brugada P, Bakos Z, Medvedev M MM, Jonas Carlsson JC, Fredrik Holmqvist FH, Pyotr Platonov PP, Nurbaev T, Pirnazarov M, Nikishin A, Aagaard P, Sahlen A, Bergfeldt L, Braunschweig F, Simeonidou E, Kastellanos S, Varounis C, Michalakeas C, Koniari C, Nikolopoulou A, Anastasiou-Nana M, Furukawa Y, Yamada T, Morita T, Tanaka K, Iwasaki Y, Kawasaki M, Kuramoto Y, Fukunami M, Blanche C, Tran N, Rigamonti F, Zimmermann M, Okisheva E, Tsaregorodtsev D, Sulimov V, Novikova D, Popkova T, Udachkina E, Korsakova Y, Volkov A, Novikov A, Alexandrova E, Nasonov E, Arsenos P, Gatzoulis K, Manis G, Dilaveris P, Gialernios T, Kartsagoulis E, Asimakopoulos S, Stefanadis C, Marocolo M, Barbosa Neto O, Carvalho AC, Marques Neto SR, Mota GR, Barbosa PRB, Fernandez-Fernandez A, Manzano Fernandez S, Pastor-Perez FJ, Barquero-Perez O, Goya-Esteban R, Salar M, Rojo-Alvarez JL, Garcia-Alberola A, Takigawa M, Kawamura M, Aiba T, Kamakura S, Sakaguchi T, Itoh H, Horie M, Shimizu W, Miyazaki A, Sakaguchi H, Yamamoto T, Igarashi T, Negishi J, Toyota N, Ohuchi H, Yamada O, Arsenos P, Gatzoulis K, Manis G, Dilaveris P, Gialernios T, Papavasileiou M, Asimakopoulos S, Stefanadis C, Cabrera Bueno F, Molina Mora MJ, Alzueta Rodriguez J, Barrera Cordero A, De Teresa Galvan E, Revishvili AS, Dzhordzhikiya T, Sopov O, Simonyan G, Lyadzhina O, Fetisova E, Kalinin V, Balt JC, Steggerda RC, Boersma LVA, Wijffels MCEF, Wever EFD, Ten Berg JM, Ricci RP, Morichelli L, D'onofrio A, Zanotto G, Vaccari D, Calo' L. Poster Session 1. Europace 2011. [DOI: 10.1093/europace/eur220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Wollmann CG, Globits S, Ameri L, Thudt K, Kaiser B, Salomonowitz E, Mayr H, Wilkoff B, Styperek R, Jumrussirikul P, Mirro M, Wong W, Ha K, Healey J, Kaufman ES, Nair GM, Armaganijan LV, Divakaramenon S, Mairesse GH, Brandes A, Crystal E, Tomassoni G, Ryu K, Muir M, O'brien E, Hesselson A, Greenberg S, Hamati F, Styperek R, Alonso J, Peress D, Lee L, Bolanos O, Burger H, Opalka B, Goebel G, Ehrlich W, Walther W, Ziegelhoeffer T, Milasinovic G, Quartieri F, Compton S, Kristiansen N, Li P, Ramza B, Dovellini EV, Michelucci A, Trapani M, Buonamici P, Valenti R, Antoniucci D, Hero M, Guenoun M, Ferrer Hita JJ, Rodriguez-Gonzalez A, Machado-Machado P, Perez-Hernandez LM, Raya-Sanchez JA, Lara-Padron A, Bosa-Ojeda F, Marrero-Rodriguez F, Luedorff G, Grove R, Wolff E, Thale J, Kranig W, Niazi I, Ryu K, Choudhuri I, Akhtar M, Jais P, Maury P, Reddy VY, Neuzil P, Morgan K, Bordachar P, Ritter P, Haissaguerre M, Doering M, Braunschweig F, Gaspar T, Eitel C, Wetzel U, Nitsche B, Piorkowski C, Hindricks G, Gras D, Boulogne E, Simon M, Abraham W. Flash Presentations II. Europace 2011. [DOI: 10.1093/europace/eur218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Romanov A, Pokushalov E, Shabanov V, Prokhorova D, Elesin D, Stenin I, Murin P, Mitro P, Valocik G, Stancak B, Foley PWX, Chalil S, Ratib K, Smith REA, Auricchio A, Prinzen F, Leyva F, Kronborg MB, Kim WY, Mortensen PT, Nielsen JC, Ono H, Hirano M, Goseki Y, Yamada M, Ishiyama T, Oda Y, Hirai A, Yamashina A, Niazi I, Ryu K, Choudhuri I, Sra J. New tools to reduce non-responders and to select candidates for CRT. Europace 2011. [DOI: 10.1093/europace/eur213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Tada H, Yamasaki H, Sekiguchi Y, Igarashi M, Kuroki K, Machino T, Yoshida K, Aonuma K, Heinzel FR, Forstner H, Lercher P, Bisping E, Rotman B, Fruhwald FM, Pieske BM, Dabrowski R, Kowalik I, Borowiec A, Smolis-Bak E, Trybuch A, Sosnowski C, Szwed H, Baturova MA, Lindgren A, Shubik YV, Olsson B, Platonov PG, Van Den Broek KC, Denollet J, Widdershoven J, Kupper N, Allam R, Allam RAGAB, Galal WAGDY, El-Damnhoury HAYAM, Mortada AYMAN, Jimenez-Candil J, Martin A, Hernandez J, Martin F, Gallego M, Martin-Luengo C, Quintanilla JG, Moreno Planas J, Molina-Morua R, Archondo T, Garcia-Torrent MJ, Perez-Castellano N, Macaya C, Perez-Villacastin J, Saiz J, Tobon C, Rodriguez JF, Hornero F, Ferrero JM, Ito K, Date T, Kawai M, Hioki M, Narui R, Matsuo S, Yoshimura M, Yamane T, Tabatabaei N, Lin G, Powell BD, Smairat R, Glockner JF, Brady PA, Fichtner S, Czudnochowsky U, Estner H, Reents T, Jilek C, Ammar S, Hessling G, Deisenhofer I, Shah DC, Kautzner J, Saoudi N, Herrera C, Jais P, Hindricks G, Neuzil P, Kuck KH, Wong KCK, Jones M, Qureshi N, Muthumala A, Betts TR, Bashir Y, Rajappan K, Vogtmann T, Wagner M, Schurig J, Hein P, Hamm B, Baumann G, Lembcke A, Saad B, Piwowarska W, Nessler J, Edvardsson N, Rieger G, Garutti C, Linker N, Jorge C, Silva Marques J, Veiga A, Cruz J, Slater C, Correia MJ, Sousa J, Miltenberger-Miltenyi G, Nunes Diogo A, Matic D, Mrdovic I, Stankovic G, Asanin M, Antonijevic N, Matic M, Oliveira LA, Kocev N, Vasiljevic Z, Ramirez-Marrero MA, Perez-Villardon B, Delgado-Prieto JL, Jimenez-Navarro M, De Teresa-Galvan E, De Mora-Martin M, Pietrucha AZ, Bzukala I, Elias R, Sztefko K, Wnuk M, Malek A, Piwowarska W, Nessler J, Szili-Torok T, Bauernfeind T, De Groot N, Shalganov T, Schalij M, Camiletti A, Jordaens L, Rivas N, Casaldaliga J, Roca I, Pijuan A, Perez-Rodon J, Dos L, Garcia-Dorado D, Moya A, Baruteau AE, Moura D, Behaghel A, Chatel S, Mabo P, Schott JJ, Daubert JC, Le Marec H, Probst V, Zorio Grima E, Navarro-Manchon J, Molina P, Maldonado P, Igual B, Cano O, Bermejo M, Giner J, Salvador A, Bourgonje VJA, Vos MA, Ozdemir S, Doisne N, Van Der Heyden MAG, Camanho LE, Van Veen AAB, Sipido K, Antoons G, Altieri PI, Escobales N, Crespo M, Banchs HL, Sciarra L, Bloise R, Allocca G, Bulava A, Marras E, Lioy E, Delise P, Priori S, Calo' L, Hanis J, Sitek D, Novotny A, Chik WB, Lim TW, Choon HK, See VA, Mccall R, Thomas L, Ross DL, Thomas SP, Chen J, De Bortoli A, Rossvoll O, Hoff PI, Solheim E, Sun LZ, Schuster P, Ohm OJ, Ardashev AV, Zhelyakov E, Rybachenko MS, Konev AV, Belenkov YUN, Gunawardene M, Chun KRJ, Schulte-Hahn B, Windhorst V, Kulikoglu M, Nowak B, Schmidt B, Albina GA, Rivera RS, Scazzuso F, Laino RL, Giniger GA, Arbelo E, Calvo N, Tamborero D, Andreu D, Borras R, Berruezo A, Brugada J, Mont L, Stefan L, Eisenberger M, Celentano E, Peytchev P, Bodea O, Geelen P, De Potter T, Oliveira MM, Silva N, Cunha PS, Feliciano J, Lousinha A, Toste A, Santos S, Ferreira RC, Matsuda H, Harada T, Soejima K, Ishikawa Y, Mizukoshi K, Sasaki T, Mizuno K, Miyake F, Adragao PP, Cavaco D, Miranda R, Santos M, Morgado F, Reis Santos K, Candeias R, Marcelino S, Zoppo F, Grandolino G, Zerbo F, Bertaglia E, Schlueter SM, Grebe O, Vester EG, Miracle Blanco AL, Arenal Maiz A, Atienza Fernandez F, Datino Romaniega T, Gonzalez Torrecilla E, Eidelman G, Hernandez Hernandez J, Fernandez Aviles F, Fukumoto K, Takatsuki S, Kimura T, Nishiyama N, Aizawa Y, Sato T, Miyoshi S, Fukuda K, Richter B, Gwechenberger M, Socas A, Zorn G, Albinni S, Marx M, Wojta J, Goessinger H, Deneke T, Balta O, Paesler M, Buenz K, Anders H, Horlitz M, Muegge A, Shin DI, Natsuyama K, Yamaguchi KM, Nishida YN, De Bortoli A, Ohm OJ, Hoff PI, Solheim E, Schuster P, Sun LZ, Chen J, Kosiuk J, Bode K, Arya A, Piorkowski C, Gaspar T, Sommer P, Hindricks G, Bollmann A, Wichterle D, Peichl P, Simek J, Havranek S, Bulkova V, Cihak R, Kautzner J, Jurado Roman A, Salguero Bodes R, Lopez Gil M, Fontenla Cerezuela A, De Riva Silva M, Arribas Ynsaurriaga F, Fernandez Herranz AI, De Dios Perez S, Revishvili AS, Dishekov M, Tembotova Z, Barsamyan S, Vaccari D, Alvarenga C, Jesus I, Layher J, Takahashi A, Singh N, Siot P, Elkaim JP, Savelieva I, Mcclelland L, Lovegrove A, Jones S, Camm J, Folino AF, Breda R, Calzavara P, Comisso J, Borghetti F, Iliceto S, Buja G, Mlynarski R, Mlynarska A, Sosnowski M, Wilczek J, Mabo P, Carrault G, Bordachar P, Makdissi A, Duchemin L, Alonso C, Neri G, Masaro G, Vittadello S, Vaccari D, Gardin A, Barbetta A, Di Gregorio F, Sciaraffia E, Ginks MR, Gustafsson JS, Hollmark MC, Rinaldi CA, Blomstrom Lundqvist C, Brusich S, Tomasic D, Ferek-Petric B, Mavric Z, Kutarski A, Malecka B, Kolodzinska A, Grabowski M, Dovellini EV, Giurlani L, Cerisano G, Carrabba N, Valenti R, Antoniucci D, Kolodzinska A, Kutarski A, Grabowski M, Malecka B, Opolski G, Tomassoni G, Baker J, Corbisiero R, Martin D, Niazi I, Sheppard R, Sperzel J, Gutleben K, Petru J, Sediva L, Skoda J, Neuzil P, Mazzone P, Ciconte G, Vergara P, Marzi A, Paglino G, Sora N, Gulletta S, Della Bella P, Kutarski A, Pietura R, Czajkowski M, Cabanelas N, Martins VP, Alves M, Valente FX, Marta L, Francisco A, Silva R, Ferreira Da Silva G, Huo Y, Holmqvist F, Carlson J, Arya A, Wetzel U, Hindricks G, Bollmann A, Platonov P, Nof E, Abu Shama R, Kuperstein R, Feinberg MS, Eldar M, Glikson M, Luria D, Kubus P, Materna O, Gebauer RA, Matejka T, Gebauer R, Tlaskal T, Janousek J, Muessigbrodt A, Arya A, Wetzel U, Hindricks G, Richter S, Stockburger M, Boveda S, Defaye P, Stancak Branislav P, Kaliska G, Rolando M, Moreno J, Ohlow MAG, Lauer B, Buchter B, Schreiber M, Geller JC, Val-Mejias JE, Ouali S, Azzez S, Kacem S, Ben Salem H, Hammas S, Neffeti E, Remedi F, Boughzela E, Miyazaki H, Miyanaga S, Shibayama K, Tokuda M, Narui R, Kudo T, Yamane T, Yoshimura M, Coppola B, Shehada REN, Costandi P, Healey J, Hohnloser SH, Gold MR, Capucci A, Van Gelder IC, Carlson M, Lau CP, Connolly SJ, Bogaard MD, Leenders GE, Maskara B, Tuinenburg AE, Loh P, Hauer RN, Doevendans PA, Meine M, Thibault B, Dubuc M, Karst E, Ryu K, Paiement P, Farazi T, Puetz V, Berndt C, Buchholz J, Dorszewski A, Mornos C, Cozma D, Ionac A, Petrescu L, Mornos A, Pescariu S, Puetz V, Berndt C, Buchholz J, Dorszewski A, Benser M, Roscoe G, De Jong S, Roberts G, Boileau P, Rec A, Ryu K, Folman C, Morttada A, Abd El Kader M, Samir R, Roushdy R, Khaled S, Abo El Maaty M, Van Gelder B, Houthuizen P, Bracke FA, Osca Asensi J, Tejada D, Sanchez JM, Munoz B, Cano O, Rodriguez M, Sancho-Tello MJ, Olague J, Hou W, Rosenberg S, Koh S, Poore J, Snell J, Yang M, Nirav D, Bornzin G, Deering T, Dan D, Wickliffe AC, Cazeau S, Karimzadeh K, Mukerji S, Loghin C, Kantharia B, Bogaard MD, Leenders GE, Maskara B, Tuinenburg AE, Loh P, Hauer RN, Doevendans PA, Meine M, Betts TR, Jones MA, Wong KCK, Qureshi N, Rajappan K, Bashir Y, Lamba J, Simpson CS, Redfearn DP, Michael KA, Fitzpatrick M, Baranchuk A, Heinke M, Ismer B, Kuehnert H, Surber R, Haltenberger AM, Prochnau D, Figulla HR, Delarche N, Bizeau O, Couderc P, Chapelet A, Amara W, Lazarus A, Kubus P, Krupickova S, Gebauer RA, Janousek J, Van Deursen CJM, Strik M, Vernooy K, Van Hunnik A, Kuiper M, Crijns HJGM, Prinzen FW, Islam N, Gras D, Abraham W, Calo L, Birgersdotter-Green U, Clyne C, Herre J, Sheppard R, Abraham W, Gras D, Birgersdotter-Green U, Calo L, Clyne C, Klein N, Herre J, Sheppard R, Kowalski O, Lenarczyk R, Pruszkowska P, Sokal A, Kukulski T, Zielinska T, Pluta S, Kalarus Z, Schwab JO, Gasparini M, Anselme F, Clementy J, Santini M, Martinez Ferrer J, Burrone V, Santi E, Nevzorov R, Porter A, Kusniec J, Golovchiner G, Ben-Gal T, Strasberg B, Haim M, Rordorf R, Savastano S, Sanzo A, Vicentini A, Petracci B, De Amici M, Striuli L, Landolina M, Tolosana JM, Martin AM, Hernandez-Madrid A, Macias A, Fernandez-Lozano I, Osca J, Quesada A, Mont L, Igarashi M, Tada H, Yamasaki H, Sekiguchi Y, Kuroki K, Yoshida K, Noguchi Y, Aonuma K, Shahrzad S, Karim Soleiman N, Tavoosi A, Taban S, Emkanjoo Z, Fukunaga M, Goya M, Hiroshima K, Ohe M, Hayashi K, Iwabuchi M, Nosaka H, Nobuyoshi M, Doiny D, Perez-Silva A, Castrejon Castrejon S, Estrada A, Ortega M, Lopez-Sendon JL, Merino JL, Garcia Fernandez FJ, Gallardo R, Pachon M, Almendral J, Gonzalez Torrecilla E, Martin J, Yahya D, Al-Mogheer B, Gouda S, Eweis E, El Ramly M, Abdelwahab A, Kassenberg W, Wittkampf FHM, Hof IE, Heijden JH, Neven KGEJ, Meine M, Hauer RNW, Loh P, Baratto F, Bignami E, Pappalardo F, Maccabelli G, Nicolotti D, Zangrillo A, Della Bella P, Hayashi K, Goya M, Hiroshima K, Nagashima M, An Y, Fukunaga M, Okreglicki A, Russouw C, Tilz R, Yoshiga Y, Mathew S, Fuernkranz A, Rillig A, Wissner E, Kuck KH, Ouyang F, De Sisti A, Tonet J, Gueffaf F, Amara W, Touil F, Aouate P, Hidden-Lucet F, Doiny D, Castrejon Castrejon S, Estrada A, Ortega M, Perez-Silva A, Lopez-Sendon JL, Merino JL, Makimoto H, Satomi K, Yamada Y, Okamura H, Noda T, Shimizu W, Aihara N, Kamakura S, Estrada A, Perez Silva A, Doiny D, Castrejon S, Gonzalez Vasserot M, Merino JL, Tilz R, Senges J, Brachmann J, Andresen D, Hoffmann E, Schumacher B, Willems S, Kuck KH, Reents T, Deisenhofer I, Ammar S, Springer B, Fichtner S, Jilek C, Kolb C, Hessling G, Akca F, Bauernfeind T, De Groot NMS, Schwagten B, Witsenburg M, Jordaens L, Szili-Torok T, Hata Y, Nakagami R, Watanabe T, Sato A, Watanabe H, Kabutoya T, Mituhashi T, Theuns DAMJ, Smith T, Pedersen SS, Dabiri-Abkenari L, Jordaens L, Prull MW, Unverricht S, Bittlinsky A, Wirdemann H, Sasko B, Wirdeier S, Trappe HJ, Zorio Grima E, Rueda J, Medina P, Jaijo T, Sevilla T, Osca J, Arnau MA, Salvador A, Starrenburg AH, Kraaier K, Pedersen SS, Scholten MF, Van Der Palen J, De Haan S, Commandeur J, De Boer K, Beek AM, Van Rossum AC, Allaart CP, Berne P, Porres JM, Fernandez-Lozano I, Arnaiz JA, Mont L, Berruezo A, Brugada R, Brugada J, Man S, Maan AC, Thijssen J, Van Der Wall EE, Schalij MJ, Burattini L, Burattini R, Swenne CA, Bonny A, Hidden-Lucet F, Ditah I, Larrazet F, Frank R, Fontaine G, Van Den Broek KC, Pedersen SS, Theuns DAMJ, Jordaens L, Van Der Voort PH, Alings M, Denollet J, Shimane A, Okajima K, Kanda G, Yokoi K, Yamada S, Taniguchi Y, Hayashi T, Kajiya T, Santos MC, Wright J, Betts J, Denman R, Dominguez-Perez L, Arias Palomares MA, Toquero J, Jimenez-Candil J, Olague J, Diaz-Infante E, Tercedor L, Valverde I, Miracle Blanco AL, Datino Romaniega T, Arenal Maiz A, Atienza Fernandez F, Gonzalez Torrecilla E, Eidelman G, Hernandez Hernandez J, Fernandez Aviles F, Napp A, Joosten S, Stunder D, Zink M, Marx N, Schauerte P, Silny J, Trucco ME, Arce M, Palazzolo J, Femenia F, Glad JM, Szymkiewicz SJ, Glad JM, Szymkiewicz SJ, Fernandez-Armenta J, Camara O, Mont LL, Andreu D, Diaz E, Silva E, Frangi A, Berruezo A, Brembilla-Perrot B, Laporte F, Jimenez-Candil J, Martin A, Gallego M, Morinigo J, Ledesma C, Martin-Luengo C, Hadid C, Almendral J, Ortiz M, Quesada A, Wolpert C, Cobo E, Navarro X, Arribas F, Miki Y, Naitoh S, Kumagai K, Goto K, Kaseno K, Oshima S, Taniguchi K, Rivera S, Scazzuso F, Albina G, Klein A, Laino R, Sammartino V, Giniger A, Fukumoto K, Takatsuki S, Kimura T, Nishiyama N, Aizawa Y, Sato T, Miyoshi S, Fukuda K, Muggenthaler M, Raju H, Papadakis M, Chandra N, Bastiaenen R, Behr ER, Sharma S, Samniah N, Radezishvsky Y, Omari H, Rosenschein U, Perez Riera AR, Ferreira M, Hopman WM, Mcintyre WF, Baranchuk AR, Wongcharoen W, Keanprasit K, Phrommintikul A, Chaiwarith R, Yagishita A, Hachiya H, Nakamura T, Tanaka Y, Higuchi K, Kawabata M, Hirao K, Isobe M, Havranek S, Simek J, Wichterle D, Stoickov V, Ilic S, Deljanin Ilic M, Aagaard P, Sahlen A, Bergfeldt L, Braunschweig F, Sousa A, Lebreiro A, Sousa C, Oliveira S, Correia AS, Rangel I, Freitas J, Maciel MJ, Asensio Lafuente E, Aguilera AAC, Corral MACC, Mendoza KLMC, Nava PEND, Rendon ALRC, Villegas LVC, Castillo LCM, Schaerf R, Develle R, Brembilla-Perrot B, Oliver C, Zinzius PY, Providencia RA, Botelho A, Trigo J, Nascimento J, Quintal N, Mota P, Leitao-Marques AM, Borbola J, Abraham P, Foldesi CS, Kardos A, Miranda R, Almeida S, Santos MB, Cavaco D, Quaresma R, Morgado FB, Adragao P, Fatemi M, Didier R, Le Gal G, Etienne Y, Jobic Y, Gilard M, Boschat J, Mansourati J, Zubaid M, Rashed W, Alsheikh-Ali A, Almahmeed W, Shehab A, Sulaiman K, Asaad N, Amin H, Boersma LVA, Swaans M, Post M, Rensing B, Jarverud K, Broome M, Noren K, Svensson T, Hjelm S, Hollmark M, Bjorling A, Providencia RA, Botelho A, Trigo J, Nascimento J, Quintal N, Mota P, Leitao-Marques AM, Maeda K, Takagi M, Suzuki K, Tatsumi H, Yoshiyama M, Simeonidou E, Michalakeas C, Kastellanos S, Varounis C, Nikolopoulou A, Koniari C, Anastasiou-Nana M, Furukawa T, Maggi R, Bertolone C, Fontana D, Brignole M, Pietrucha AZ, Wnuk M, Bzukala I, Mroczek-Czernecka D, Konduracka E, Kruszelnicka O. Poster Session 4. Europace 2011. [DOI: 10.1093/europace/eur231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Ryu K, McEldoon JP, Pokora AR, Cyrus W, Dordick JS. Numerical and Monte Carlo simulations of phenolic polymerizations catalyzed by peroxidase. Biotechnol Bioeng 2010; 42:807-14. [PMID: 18613127 DOI: 10.1002/bit.260420704] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Numerical and Monte Carlo simulations of horseradish peroxidase-catalyzed phenolic polymerizations have been performed. Kinetic constants for the simulations were fit to data from the oxidation and polymerization of bisphenol A. Simulations of peroxidase-catalyzed phenolic polymerization were run as a function of enzyme concentration and radical transfer and radical coupling rate constants. Predictions were performed with respect to conversion vs. time and number average molecular weight and polydispersity vs. conversion. It is shown that the enzymatic polymerization of phenols can be optimized with respect to high molecular weights by employing low enzyme concentrations and phenols with low radical coupling rate constants coupled with relatively high radical transfer rate constants. Such phenols may be identified by using linear free energy relationships that relate radical reactivity to electron donating/withdrawing potential of the phenolic substituent.
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Affiliation(s)
- K Ryu
- Department of Chemical and Biochemical Engineering and Center for Biocatalysis and Bioprocessing, University of Iowa, Iowa City, Iowa 52242, USA
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Choi B, Ryu K, Bong J, Lee J, Choy Y, Son S, Han O, Baik M. Comparison of steroid hormone concentrations and mRNA levels of steroid receptor genes in longissimus dorsi muscle and subcutaneous fat between bulls and steers and association with carcass traits in Korean cattle. Livest Sci 2010. [DOI: 10.1016/j.livsci.2010.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Thibault B, Karst E, Ryu K, Paiement P, Farazi TG. Pacing electrode selection in a quadripolar left heart lead determines presence or absence of phrenic nerve stimulation. Europace 2010; 12:751-3. [DOI: 10.1093/europace/eup435] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Choi JI, Ryu K, Park E, Benser ME, Jang JK, Lee HS, Lim HE, Pak HN, Kim YH. Atrial activation time and pattern of linear triple-site vs. single-site atrial pacing after cardioversion in patients with atrial fibrillation. Europace 2010; 12:508-16. [DOI: 10.1093/europace/eup407] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Kim S, Hwang M, Park Y, Park S, Kim Y, Ryu K, Lee J, Park Y, Kim N, Park S. Prognostic impact of response to second-line chemotherapy on overall survival of patients with advanced gastric cancer. J Clin Oncol 2009. [DOI: 10.1200/jco.2009.27.15_suppl.e15551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e15551 Background: It has been debated on whether tumor response to first-line chemotherapy (CT) would be reliable predictor for overall survival (OS) of cancer patients (pts). In case of advanced gastric cancer (AGC), many pts receive 2nd line CT after failure to 1st line treatment, so response to 2nd line CT as well as 1st line could affect OS. Methods: We retrieved clinical data of a total of 1,335 pts with AGC treated with palliative CT from January 2000 to December 2006 in National Cancer Center, Korea, including 757 pts who also received 2nd line CT. Responses to 1st and 2nd line CT were evaluable in 504 pts. Retrospective analysis was done to find correlation between objective tumor response to 1st and 2nd line CT and OS of the 504 pts, whom we divided into 4 groups: responders to both 1st and 2nd line CT (RR group); responders to 1st but not to 2nd line CT (RN group); responders to 2nd but not to 1st line CT (NR group); and nonresponders to both 1st and 2nd line CT (NN group). Results: Objective response rate of 1st and 2nd line CT was 41.7% and 12.3%, respectively. Responders to 1st line CT had a trend to respond to 2nd line CT (ORR of 2nd line CT in responders vs nonresponders to 1st line CT: 15.7% vs 9.9%, p = 0.049). 33/177/29/265 pts were assigned to each of RR/RN/NR/NN group, respectively. With median follow-up of 48.7 mo (range 23.2 - 93.7), median OS was 12.7 mo (95% CI 11.8–13.6). Baseline characteristics were balanced between 4 groups except higher hemoglobin and serum albumin level in RR group, younger median age in NN group, and fewer pts with poor performance status or poorly differentiated histology in NR group. Overall survival of RR, RN, NR, and NN group was 31.8 mo, 15.5 mo, 18.9 mo, and 9.2 mo, respectively (p<0.001). Multivariate analysis revealed relapsed disease after curative surgery, well-differentiated histology, absence of pulmonary metastasis, higher serum albumin level, lower serum bilirubin and alkaline phosphatase level, response to both of 1st line and 2nd line CT were reliable factors for favorable survival. Conclusions: Among the patients who received 2nd line chemotherapy for AGC, response to 2nd line CT was strongly associated with OS regardless of previous response to 1st line CT. No significant financial relationships to disclose.
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Affiliation(s)
- S. Kim
- National Cancer Center, Goyang, Republic of Korea
| | - M. Hwang
- National Cancer Center, Goyang, Republic of Korea
| | - Y. Park
- National Cancer Center, Goyang, Republic of Korea
| | - S. Park
- National Cancer Center, Goyang, Republic of Korea
| | - Y. Kim
- National Cancer Center, Goyang, Republic of Korea
| | - K. Ryu
- National Cancer Center, Goyang, Republic of Korea
| | - J. Lee
- National Cancer Center, Goyang, Republic of Korea
| | - Y. Park
- National Cancer Center, Goyang, Republic of Korea
| | - N. Kim
- National Cancer Center, Goyang, Republic of Korea
| | - S. Park
- National Cancer Center, Goyang, Republic of Korea
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Ryu K, Khrestian CM, Matsumoto N, Sahadevan J, Goldstein RN, Dorostkar PC, Waldo AL. Characterization of the critical cycle length of a left atrial driver which causes right atrial fibrillatory conduction. Conf Proc IEEE Eng Med Biol Soc 2007; 2004:3960-3. [PMID: 17271164 DOI: 10.1109/iembs.2004.1404106] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
A stable rhythm of very short cycle length (CL) in the left atrium (LA) can cause fibrillatory conduction, particularly in the right atrium (RA). Fast Fourier transform (FFT) analysis reliably identifies LA to RA conduction path(s) during atrial fibrillation (AF). We tested the hypotheses that FFT analysis of atrial electrograms (AEGs) during AF simulation will reliably identify the critical LA driver CL that causes RA fibrillatory conduction (i.e., the critical conduction breakdown CL) and that a longer critical conduction breakdown CL is found in atria of abnormal (sterile pericarditis) compared to normal dogs. We paced from Bachmann's bundle and the posterior-inferior LA at rapid rates to mimic an LA driver. During pacing, 4 sec of FFT analysis of 203 bipolar AEGs was performed and showed: 1) a single dominant frequency peak at the pacing CL in both atria when the atria followed the pacing in a 1:1 manner; 2) multiple and broad frequency peaks on the RA and parts of the LA at the conduction breakdown CL; and 3) the conduction breakdown CL is longer in pericarditis than normal dogs. FFT analysis allowed reliable detection of the critical CL of an LA driver that induces RA fibrillatory conduction.
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Affiliation(s)
- K Ryu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
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Chun J, Park S, Kim H, Kim Y, Ryu K, Lee J, Lee J, Kim C, Lee J, Bae J. Randomized phase II trial of neoadjuvant vs. adjuvant docetaxel plus cisplatin in patients with locally advanced gastric carcinoma: An interim analysis. J Clin Oncol 2006. [DOI: 10.1200/jco.2006.24.18_suppl.4030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
4030 Background: The perioperative treatment strategy for locally advanced gastric cancer (LAGC) has not been clearly established. We conducted a randomized phase II study of neoadjuvant vs. adjuvant docetaxel/cisplatin (DC) chemotherapy in LAGC. Methods: LAGC was radiographically defined by CT and PET. Pts were randomized to receive neoadjuvant or adjuvant DC (docetaxel 36 mg/m2 + cisplatin 40 mg/m2 on D1, D8, q 3 wks X 3 cycles) according Japanese staging system (IIIa, IIIb, IV M-, and IV with a single M+ node). Results: All planned 88 pts in 44 per each arm were enrolled between Jan 2003 and Nov 2005. One pt was not eligible. The median age was 57 yrs vs. 58 yrs, PS 1 90.7% vs. 84.1%, and stage III/IV 72.1%/27.9% vs. 70.5%/29.5% in the neoadjuvant and adjuvant arm, respectively. Clinical response rate of 42 evaluable pts in neoadjuvant arm according to WHO criteria was 64.3% (95% CI 49.8–78.8%) with CR 2.4%, PR 61.9%, SD 31.0%, and PD 4.7%. There was no treatment related death. Comparison of G3/4 adverse events in neoadjuvant vs. adjuvant arm were; leukopenia 14.0% vs. 32.4% (p=0.04), neutropenia 37.2% vs. 62.2% (p=0.02), febrile neutropenia 0% vs. 2.7%, diarrhea 2.3% vs. 10.8%, stomatitis 2.3% vs. 8.1% (p=NS). There were no difference in the postoperative morbidity and the duration of hospital stay between both arms, but surgery was delayed in one pt who developed tuberculosis during neoadjuvant chemotherapy. Downstaging of the T stage could be obtained in 6 (14.3%) among 42 evaluable pts in neoadjuvant arm, according to EUS. Conclusions: Both neoadjuvant and adjuvant DC chemotherapy were relatively well tolerated in LAGC, with the lower incidence of G3/4 toxicities in neoadjuvant arm. Neoadjuvant DC showed a high response rate and a modest downstaging effect. (Supported by National Cancer Center Grant; Docetaxel was provided by Sanofi Aventis Korea) [Table: see text] No significant financial relationships to disclose.
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Affiliation(s)
- J. Chun
- National Cancer Center, Goyang-si, Republic of Korea
| | - S. Park
- National Cancer Center, Goyang-si, Republic of Korea
| | - H. Kim
- National Cancer Center, Goyang-si, Republic of Korea
| | - Y. Kim
- National Cancer Center, Goyang-si, Republic of Korea
| | - K. Ryu
- National Cancer Center, Goyang-si, Republic of Korea
| | - J. Lee
- National Cancer Center, Goyang-si, Republic of Korea
| | - J. Lee
- National Cancer Center, Goyang-si, Republic of Korea
| | - C. Kim
- National Cancer Center, Goyang-si, Republic of Korea
| | - J. Lee
- National Cancer Center, Goyang-si, Republic of Korea
| | - J. Bae
- National Cancer Center, Goyang-si, Republic of Korea
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Ide N, Lau BH, Ryu K, Matsuura H, Itakura Y. Antioxidant effects of fructosyl arginine, a Maillard reaction product in aged garlic extract. J Nutr Biochem 2005; 10:372-6. [PMID: 15539313 DOI: 10.1016/s0955-2863(99)00021-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/1998] [Accepted: 03/02/1999] [Indexed: 10/17/2022]
Abstract
The amino-carbonyl (Maillard) reaction of amino acids with sugars is a nonenzymatic browning reaction that takes place during the processing, cooking, and storage of foods. Maillard reaction products (MRPs) have been shown to possess interesting chemical and biological properties including antimutagenic and antioxidant activity. In this study, we determined the antioxidant effects of fructosyl arginine (Fru-Arg), a MRP in aged garlic extract. Low density lipoprotein (LDL) was incubated with Cu(2+) at 37 degrees C and 5% CO(2) for 24 hours, which resulted in an increase of thiobarbituric acid reactive substances (TBARS) indicating lipid peroxidation. Coincubation of Cu(2+) with Fru-Arg and LDL resulted in a significant inhibition of TBARS formation. Pulmonary artery endothelial cells (PAEC) were exposed to 0.1 mg/mL oxidized LDL (Ox-LDL) at 37 degrees C and 5% CO(2) for 24 hours. Lactate dehydrogenase (LDH) release, as an index of cell membrane damage, and TBARS were measured. Ox-LDL caused an increase of LDH release and TBARS formation. Pretreatment of PAEC with Fru-Arg inhibited these changes. Murine macrophages were incubated with Ox-LDL, and the release of peroxides was measured using a fluorometric assay. Ox-LDL caused an increased release of peroxides. Coincubation of macrophages with Fru-Arg and Ox-LDL inhibited the release of peroxides dose-dependently. In a cell free system, Fru-Arg was shown to scavenge hydrogen peroxide. These data suggest that Fru-Arg is a potent antioxidant, and thus may be useful for the prevention of atherosclerosis and other disorders associated with oxidative stress.
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Affiliation(s)
- N Ide
- Department of Microbiology and Molecular Genetics, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
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Affiliation(s)
- I Shibata
- Department of Molecular Chemistry, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
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Ryu K, Healy TM, Ensley AE, Sharma S, Lucas C, Yoganathan AP. Importance of accurate geometry in the study of the total cavopulmonary connection: computational simulations and in vitro experiments. Ann Biomed Eng 2001; 29:844-53. [PMID: 11764315 DOI: 10.1114/1.1408930] [Citation(s) in RCA: 62] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Previous in vitro studies have shown that total cavopulmonary connection (TCPC) models incorporating offset between the vena cavae are energetically more efficient than those without offsets. In this study, the impact of reducing simplifying assumptions, thereby producing more physiologic models, was investigated by computational fluid dynamics (CFD) and particle flow visualization experiments. Two models were constructed based on angiography measurements. The first model retained planar arrangement of all vessels involved in the TCPC but incorporated physiologic vessel diameters. The second model consisted of constant-diameter vessels with non-planar vascular features. CFD and in vitro experiments were used to study flow patterns and energy losses within each model. Energy losses were determined using three methods: theoretical control volume, simplified control volume, and velocity gradient based dissipation. Results were compared to a simplified model control. Energy loss in the model with physiologically more accurate vessel diameters was 150% greater than the simplified model. The model with nonplanar features produced an asymmetric flow field with energy losses approximately 10% higher than simplified model losses. With the velocity gradient based dissipation technique, the map of energy dissipation was plotted revealing that most of the energy was dissipated near the pulmonary artery walls.
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Affiliation(s)
- K Ryu
- Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech, Atlanta 30332-0535, USA
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47
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Ryu S, Kodama S, Ryu K, Schoenfeld DA, Faustman DL. Reversal of established autoimmune diabetes by restoration of endogenous beta cell function. J Clin Invest 2001; 108:63-72. [PMID: 11435458 PMCID: PMC209340 DOI: 10.1172/jci12335] [Citation(s) in RCA: 120] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2001] [Accepted: 05/14/2001] [Indexed: 11/17/2022] Open
Abstract
In NOD (nonobese diabetic) mice, a model of autoimmune diabetes, various immunomodulatory interventions prevent progression to diabetes. However, after hyperglycemia is established, such interventions rarely alter the course of disease or allow sustained engraftment of islet transplants. A proteasome defect in lymphoid cells of NOD mice impairs the presentation of self antigens and increases the susceptibility of these cells to TNF-alpha-induced apoptosis. Here, we examine the hypothesis that induction of TNF-alpha expression combined with reeducation of newly emerging T cells with self antigens can interrupt autoimmunity. Hyperglycemic NOD mice were treated with CFA to induce TNF-alpha expression and were exposed to functional complexes of MHC class I molecules and antigenic peptides either by repeated injection of MHC class I matched splenocytes or by transplantation of islets from nonautoimmune donors. Hyperglycemia was controlled in animals injected with splenocytes by administration of insulin or, more effectively, by implantation of encapsulated islets. These interventions reversed the established beta cell-directed autoimmunity and restored endogenous pancreatic islet function to such an extent that normoglycemia was maintained in up to 75% of animals after discontinuation of treatment and removal of islet transplants. A therapy aimed at the selective elimination of autoreactive cells and the reeducation of T cells, when combined with control of glycemia, is thus able to effect an apparent cure of established type 1 diabetes in the NOD mouse.
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Affiliation(s)
- S Ryu
- Immunobiology Laboratory, Harvard Medical School and Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA
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Cheon M, Park D, Park Y, Kam K, Park SD, Ryu K. Progesterone together with estrogen attenuates homologous upregulation of gonadotropin-releasing hormone receptor mRNA in primary cultured rat pituitary cells. Endocrine 2001; 15:131-6. [PMID: 11572319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
In a previous study, we clearly demonstrated that an application of gonadotropin-releasing hormone (GnRH) to cultured rat pituitary cells increased the expression of GnRH receptor (GnRH-R) mRNA through transcriptional activation of GnRH-R gene rather than suppression of the turnover rate of GnRH-R mRNA. Along with GnRH, gonadal steroids seem to be an important regulator for GnRH-R expression in the pituitary gland. Recent in vivo studies reported that an application of gonadal steroids to gonadectomized animals modulated GnRH-R mRNA expression in the pituitary gland. However, it has not been clearly understood whether steroids may act directly at the pituitary or indirectly via modulation of hypothalamic GnRH release. Therefore, we assessed the effects of estrogen and progesterone on GnRH-R mRNA expression in primary cultured female rat pituitary cells. Neither estradiol nor progesterone modulates the basal expression of GnRH-R mRNA in primary cultured pituitary cells. When cultured pituitary cells were exposed to different doses of estradiol in combination with GnRH (0.2 nM), the GnRH-stimulated increment of GnRH-R mRNA expression was not significantly changed by estradiol at any given doses. However, when different doses of progesterone were added to primary cultured pituitary cells in combination with GnRH (0.2 nM), GnRH-induced increases in GnRH-R mRNA levels were reduced in a dose-related manner, showing a significant reduction at 100 nM progesterone. Furthermore, the addition of estradiol reinforced the suppressive effect of progesterone on the homologous upregulation of GnRH-R mRNA expression. Collectively, our results clearly demonstrated that progesterone directly attenuates the homologous upregulation of GnRH-R mRNA expression at the pituitary level, and that estradiol potentiates the effect of progesterone.
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Affiliation(s)
- M Cheon
- Endocrine Laboratory, College of Medicine, Yonsei University, Seoul, South Korea
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Shibata I, Suwa T, Ryu K, Baba A. Selective alpha-stannylated addition of di-n-butyliodotin hydride Ate complex to simple aliphatic alkynes. J Am Chem Soc 2001; 123:4101-2. [PMID: 11457170 DOI: 10.1021/ja0056973] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- I Shibata
- Department of Molecular Chemistry Graduate School of Engineering, Osaka University 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
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50
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Hahn S, Cho K, Ryu K, Kim J, Pai K, Kim M, Park H, Yoo O. Identification of four novel mutations in classical Menkes disease and successful prenatal DNA diagnosis. Mol Genet Metab 2001; 73:86-90. [PMID: 11350187 DOI: 10.1006/mgme.2001.3169] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Menkes disease is an X-linked recessive disorder of the copper metabolism and affected males suffer a systemic copper deficiency due to malabsorption and defective distribution of dietary copper. It is caused by a defect in the Menkes (ATP7A) gene, which encodes a transmembrane copper-transporting P-type ATPase. A variety of mutations were reported; however, only a few mutations were reported in Asian patients. We identified four novel mutations and one known mutation in five Korean patients. Arg646Ter in exon 8, a novel mutation transmitted from his carrier mother, was identified in one patient. Prenatal DNA diagnosis on an unaffected fetus in this carrier mother was successfully accomplished. An additional three novel mutations, Leu706Arg in exon 9, Gly1118Asp in exon 17, and Gly1255Arg in exon 19, were identified. Splicing mutation was not identified. Menkes disease in Korean patients appears to be caused by heterogeneous mutations with different spectrums from Caucasian patients.
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Affiliation(s)
- S Hahn
- Department of Pediatrics, Ajou University, School of Medicine, 5 Wonchon-dong, Paldal-gu, Suwon, Korea 442-721.
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