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Lee, Yedaun,Lee, Seung Soo,Kim, Namkug,Kim, Eunki,Kim, Yeong Jae,Yun, Sung-Cheol,K?hn, Bernd,Kim, In Seong,Park, Seong Ho,Kim, So Yeon,Lee, Moon-Gyu Radiological Society of North America 2015 Radiology Vol.274 No.2
<P>To compare the influence of triggering methods for diffusion-weighted imaging (DWI) on apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) parameters in the liver, as well as regional variability and measurement repeatability.</P>
In vivo MR evaluation of the effect of the CCR2 antagonist on macrophage migration
Lee, Yedaun,Ryu, Je‐,Won,Chang, Hyeujin,Sohn, Jin Young,Lee, Kyung Won,Woo, Chul Woong,Kang, Hee Jung,Jeong, Seong‐,Yun,Choi, Eun Kyung,Lee, Jin Seong Wiley Subscription Services, Inc., A Wiley Company 2010 Magnetic resonance in medicine Vol.64 No.1
<P><B>Abstract</B></P><P>The CCR2 antagonist is a receptor antagonist for monocyte chemoattractant protein‐1 and is known to be a potential anti‐inflammatory therapeutic agent. Recently used optimized labeling techniques for superparamagnetic iron oxide, macrophage homing, and recruitment toward the infection site can be observed on in vivo MRI. This study details the effect of the CCR2 antagonist on the macrophage migration and the feasibility of in vivo MRI for assessing the inhibition of chemotactic activity by the CCR2 antagonist. On binding assay, the CCR2 antagonist inhibits the binding affinity of monocyte chemoattractant protein‐1 to CCR2. Increased expression of messenger ribonucleic acid (mRNA) and expression of CCR2 and CD11b on the cellular surface, as induced by monocyte chemoattractant protein‐1, was shown, and the effect of monocyte chemoattractant protein‐1 on CCR2 and CD11b was restricted by the CCR2 antagonist. In a migration test using the transwell system, macrophages treated with the CCR2 antagonist showed significantly decreased chemotactic migration compared to that of wild‐type macrophages. MR images of infected left calf muscles in 12 mice were obtained 24 h after administration of macrophages labeled with superparamagnetic iron oxide. MRI successfully demonstrated the effect of the CCR2 antagonist on the directional migration of macrophages. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.</P>
Incidentally Detected Löffler’s Syndrome on Abdomen Magnetic Resonance Imaging: Case Report
Lee Yedaun 대한자기공명의과학회 2023 Investigative Magnetic Resonance Imaging Vol.27 No.3
Pulmonary magnetic resonance imaging (MRI) has historically been challenging because of the low proton density of the lungs and respiratory and susceptibility artifacts; however, recent advancements in technology have made it increasingly useful for the diagnosis and monitoring of lung diseases, such as lung cancer and chronic obstructive pulmonary disease. No previous studies have specifically focused on the use of pulmonary MRI in eosinophilic lung disease. This case report presents the first case of Löffler’s syndrome incidentally detected in abdominal MRI. The patient was diagnosed with Löffler’s syndrome based on pulmonary opacities and increased peripheral blood eosinophil counts. Followup computed tomography revealed that pulmonary opacities were resolved. In this case, MRI distinguished between a solid nodule and the surrounding ground-glass opacity. Thus, our report can be considered representative of magnetic resonance (MR) findings for Löffler’s syndrome. Our observations also highlight the importance of increasing radiological familiarity with MR findings in various pulmonary diseases.
Hong, Sujin,Yi, Jisook,Lee, Ho-joon,Hahn, Seok,Lim, Yun-jung,Lee, Yedaun,Shin, Kyong Jin Korean Society of Magnetic Resonance in Medicine 2021 Investigative Magnetic Resonance Imaging Vol.25 No.3
Anti-myelin oligodendrocyte glycoprotein (anti-MOG) syndrome is an immune-mediated inflammatory condition of the central nervous system, which usually involves spinal cord and optic nerves. Herein, we studied the case of a 57-year-old female patient who presented with acute/subacute symptoms of sphincter dysfunction, paraparesis, and ocular pain. The patient was diagnosed with anti-MOG syndrome with findings resembling snake-eye appearance (SEA), characterized by nearly symmetrical round high signal intensity lesions located at anterior horns (gray matter) on T2-weighted image.
Eun Joo Park,Yedaun Lee,Joonsung Lee 대한영상의학회 2023 대한영상의학회지 Vol.84 No.6
Purpose To assess the quality of four images obtained using single-breath-hold (SBH), single-shot fast spin-echo (SSFSE) and multiple-breath-hold (MBH) SSFSE with and without deep-learning based reconstruction (DLR) in patients with Crohn’s disease. Materials and Methods This study included 61 patients who underwent MR enterography (MRE) for Crohn’s disease. The following images were compared: SBH-SSFSE with (SBH-DLR) and without (SBHconventional reconstruction [CR]) DLR and MBH-SSFSE with (MBH-DLR) and without (MBH-CR) DLR. Two radiologists independently reviewed the overall image quality, artifacts, sharpness, and motion-related signal loss using a 5-point scale. Three inflammatory parameters were evaluated in the ileum, the terminal ileum, and the colon. Moreover, the presence of a spatial misalignment was evaluated. Signal-to-noise ratio (SNR) was calculated at two locations for each sequence. Results DLR significantly improved the image quality, artifacts, and sharpness of the SBH images. No significant differences in scores between MBH-CR and SBH-DLR were detected. SBH-DLR had the highest SNR (p < 0.001). The inter-reader agreement for inflammatory parameters was good to excellent (κ = 0.76–0.95) and the inter-sequence agreement was nearly perfect (κ = 0.92–0.94). Misalignment artifacts were observed more frequently in the MBH images than in the SBH images (p < 0.001). Conclusion SBH-DLR demonstrated equivalent quality and performance compared to MBH-CR. Furthermore, it can be acquired in less than half the time, without multiple BHs and reduce slice misalignments.
Ahn Yura,Yoon Jee Seok,Lee Seung Soo,Suk Heung-Il,Son Jung Hee,Sung Yu Sub,Lee Yedaun,Kang Bo-Kyeong,Kim Ho Sung 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.8
Objective: Measurement of the liver and spleen volumes has clinical implications. Although computed tomography (CT) volumetry is considered to be the most reliable noninvasive method for liver and spleen volume measurement, it has limited application in clinical practice due to its time-consuming segmentation process. We aimed to develop and validate a deep learning algorithm (DLA) for fully automated liver and spleen segmentation using portal venous phase CT images in various liver conditions. Materials and Methods: A DLA for liver and spleen segmentation was trained using a development dataset of portal venous CT images from 813 patients. Performance of the DLA was evaluated in two separate test datasets: dataset-1 which included 150 CT examinations in patients with various liver conditions (i.e., healthy liver, fatty liver, chronic liver disease, cirrhosis, and post-hepatectomy) and dataset-2 which included 50 pairs of CT examinations performed at ours and other institutions. The performance of the DLA was evaluated using the dice similarity score (DSS) for segmentation and Bland-Altman 95% limits of agreement (LOA) for measurement of the volumetric indices, which was compared with that of ground truth manual segmentation. Results: In test dataset-1, the DLA achieved a mean DSS of 0.973 and 0.974 for liver and spleen segmentation, respectively, with no significant difference in DSS across different liver conditions (p = 0.60 and 0.26 for the liver and spleen, respectively). For the measurement of volumetric indices, the Bland-Altman 95% LOA was -0.17 ± 3.07% for liver volume and -0.56 ± 3.78% for spleen volume. In test dataset-2, DLA performance using CT images obtained at outside institutions and our institution was comparable for liver (DSS, 0.982 vs. 0.983; p = 0.28) and spleen (DSS, 0.969 vs. 0.968; p = 0.41) segmentation. Conclusion: The DLA enabled highly accurate segmentation and volume measurement of the liver and spleen using portal venous phase CT images of patients with various liver conditions.