Sujin Kim
Seoul National University Bundang Hospital
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Featured researches published by Sujin Kim.
Radiographics | 2011
Sujin Kim; Sung Hwan Hong; Woo Sun Jun; Ja-Young Choi; Jae Sung Myung; Jon A. Jacobson; Joon Woo Lee; Jung-Ah Choi; Heung Sik Kang
The diagnoses of entrapment and compressive neuropathies have been based on the findings from clinical examinations and electrophysiologic tests, such as electromyography and nerve conduction studies. The use of magnetic resonance (MR) imaging for the diagnosis of entrapment or compressive neuropathies is increasing because MR imaging is particularly useful for discerning potential causes and for identifying associated muscle denervation. However, it is sometimes difficult to localize nerve entrapment or demonstrate nerve compression lesions with MR imaging. Nevertheless, even in these cases, MR imaging may show denervation-associated changes in specific muscles innervated by the affected nerves. The analysis of denervated muscle distributions by using MR imaging, with a knowledge of nerve innervation patterns, would be helpful for determining the nerves involved and the levels of nerve entrapment or compression. In this context, the mapping of skeletal muscle denervation with MR imaging has a supplementary or even a primary role in the diagnosis of entrapment and compressive neuropathies.
American Journal of Roentgenology | 2011
Yusuhn Kang; Joon Woo Lee; Young Hwan Koh; Saebeom Hur; Sujin Kim; Jee Won Chai; Heung Sik Kang
OBJECTIVE The purpose of this study was to propose a new MRI grading system for cervical canal stenosis and to evaluate the reproducibility of the system. MATERIALS AND METHODS Cervical canal stenosis was classified according to the T2-weighted sagittal images into the following grades: grade 0, absence of canal stenosis; grade 1, subarachnoid space obliteration exceeding 50%; grade 2, spinal cord deformity; and grade 3, spinal cord signal change. The MRI scans of 82 patients (37 men and 45 women; mean age, 65.2 years; range, 60-86 years) were independently analyzed by six radiologists. Interobserver and intraobserver agreements were analyzed using intraclass correlation coefficient (ICC), along with the percentage agreement and kappa statistics. RESULTS The ICC for interobserver agreement was 0.716-0.802, indicating good-to-excellent agreement. For the distinction among the four grades, the percentage of agreement was 63-64% (κ = 0.60-0.62). The percentage of agreement for the presence of cervical canal stenosis (grade 0 vs grades 1, 2, and 3) was 79-85% (κ = 0.51-0.59). The percentage of agreement for insignificant (grade 0-1) or significant (grade 2-3) stenosis was 81-85% (κ = 0.57-0.66). The percentage of agreement for the presence of spinal cord signal change (grade 0-2 vs grade 3) was 92-95% (κ = 0.70-0.73). The overall intraobserver agreement was excellent, as determined by an ICC of 0.768. CONCLUSION The new grading system provides a reliable assessment of cervical canal stenosis.
Radiology | 2011
Hye Jin Yoo; Sung Hwan Hong; Ja-Young Choi; In Joon Lee; Sujin Kim; Jung-Ah Choi; Heung Sik Kang
PURPOSE To investigate the diagnostic potential of delayed contrast material-enhanced computed tomography (CT) of articular cartilage in quantification of glycosaminoglycan (GAG) concentration in normal and degenerated articular cartilage ex vivo by using a clinical CT scanner. MATERIALS AND METHODS This study was exempted by the institutional and animal review boards, and informed consent was not required. Forty intact porcine patellae were extracted and assigned to either a control (n = 20) or a trypsin-treated group (ie, GAG-depleted group) (n = 20). Ten patellae in each group were immersed in anionic contrast agent (ioxaglate, 40%) and the other ten in neutral contrast agent (iopromide, 35%) for 2 hours. To determine the contrast agent concentration within cartilage, samples were scanned with a clinical CT scanner immediately after the immersion time, and the x-ray attenuation of cartilage was measured. CT images were compared with safranin O-stained histologic sections, and actual GAG contents were determined with a dimethylmethylene blue assay. RESULTS Ioxaglate was taken up by GAG-depleted cartilage to a greater extent than by normal cartilage (P = .01). In contrast, the penetration of iopromide was not significantly different between GAG-depleted and normal cartilage (P = .1). The loss of GAGs in trypsin-treated cartilage was confirmed microscopically by using safranin O-stained sections, and a dimethylmethylene blue assay also confirmed that GAG content was markedly decreased in trypsin-treated cartilage (P = .003). CONCLUSION This study showed that contrast-enhanced CT images of articular cartilage could reflect the GAG content within the cartilage by allowing measurement of the concentration of anionic iodine-based contrast agent accumulated in the cartilage.
Korean Journal of Radiology | 2015
Sujin Kim; Joon Woo Lee; Jee Won Chai; Hye Jin Yoo; Yusuhn Kang; Jiwoon Seo; Joong Mo Ahn; Heung Sik Kang
Objective The purpose of this study was to evaluate the reliability of a new magnetic resonance imaging (MRI) grading system for cervical neural foraminal stenosis (NFS). Materials and Methods Cervical NFS at bilateral C4/5, C5/6, and C6/7 was classified into the following three grades based on the T2-weighted axial images: Grade 0 = absence of NFS, with the narrowest width of the neural foramen greater than the width of the extraforaminal nerve root (EFNR); Grade 1 = the narrowest width of the neural foramen the same or less than (but more than 50% of) the width of the EFNR; Grade 2 = the width of the neural foramen the same or less than 50% of the width of the EFNR. The MRIs of 96 patients who were over 60 years old (M:F = 50:46; mean age 68.4 years; range 61-86 years) were independently analyzed by seven radiologists. Interobserver and intraobserver agreements were analyzed using the percentage agreement, kappa statistics, and intraclass correlation coefficient (ICC). Results For the distinction among the three individual grades at all six neural foramina, the ICC ranged from 0.68 to 0.73, indicating fair to good reproducibility. The percentage agreement ranged from 60.2% to 70.6%, and the kappa values (κ = 0.50-0.58) indicated fair to moderate agreement. The percentages of intraobserver agreement ranged from 85.4% to 93.8% (κ = 0.80-0.92), indicating near perfect agreement. Conclusion The new MRI grading system shows sufficient interobserver and intraobserver agreement to reliably assess cervical NFS.
Korean Journal of Radiology | 2017
Yeonah Kang; Guen Young Lee; Joon Woo Lee; Eugene Lee; Bohyoung Kim; Sujin Kim; Joong Mo Ahn; Heung Sik Kang
Objective To evaluate texture data of the torn supraspinatus tendon (SST) on preoperative T2-weighted magnetic resonance arthrography (MRA) using the gray-level co-occurrence matrix (GLCM) for prediction of post-operative tendon state. Materials and Methods Fifty patients who underwent arthroscopic rotator cuff repair for full-thickness tears of the SST were included in this retrospective study. Based on 1-year follow-up, magnetic resonance imaging showed that 30 patients had intact SSTs, and 20 had rotator cuff retears. Using GLCM, two radiologists measured independantly the highest signal intensity area of the distal end of the torn SST on preoperative T2-weighted MRA, which were compared between two groups.The relationships with other well-known prognostic factors, including age, tear size (anteroposterior dimension), retraction size (mediolateral tear length), grade of fatty degeneration of the SST and infraspinatus tendon, and arthroscopic fixation technique (single or double row), also were evaluated. Results Of all the GLCM features, the retear group showed significantly higher entropy (p < 0.001 and p = 0.001), variance (p = 0.030 and 0.011), and contrast (p = 0.033 and 0.012), but lower angular second moment (p < 0.001 and p = 0.002) and inverse difference moment (p = 0.027 and 0.027), as well as larger tear size (p = 0.001) and retraction size (p = 0.002) than the intact group. Retraction size (odds ratio [OR] = 3.053) and entropy (OR = 17.095) were significant predictors. Conclusion Texture analysis of torn SSTs on preoperative T2-weighted MRA using the GLCM may be helpful to predict postoperative tendon state after rotator cuff repair.
Korean Journal of Radiology | 2016
Jee Won Chai; Heung Sik Kang; Joon Woo Lee; Sujin Kim; Sung Hwan Hong
Objective To evaluate T2 relaxation time change using axial T2 mapping in a rabbit degenerated disc model and determine the most correlated variable with histologic score among T2 relaxation time, disc height index, and Pfirrmann grade. Materials and Methods Degenerated disc model was made in 4 lumbar discs of 11 rabbits (n = 44) by percutaneous annular puncture with various severities of an injury. Lumbar spine lateral radiograph, MR T2 sagittal scan and MR axial T2 mapping were obtained at baseline and 2 weeks and 4 weeks after the injury in 7 rabbits and at baseline and 2 weeks, 4 weeks, and 6 weeks after the injury in 4 rabbits. Generalized estimating equations were used for a longitudinal analysis of changes in T2 relaxation time in degenerated disc model. T2 relaxation time, disc height index and Pfirrmann grade were correlated with the histologic scoring of disc degeneration using Spearmans rho test. Results There was a significant difference in T2 relaxation time between uninjured and injured discs after annular puncture. Progressive decrease in T2 relaxation time was observed in injured discs throughout the study period. Lower T2 relaxation time was observed in the more severely injured discs. T2 relaxation time showed the strongest inverse correlation with the histologic score among the variables investigated (r = -0.811, p < 0.001). Conclusion T2 relaxation time measured with axial T2 mapping in degenerated discs is a potential method to assess disc degeneration.
Korean Journal of Radiology | 2015
Guen Young Lee; Joon Woo Lee; Seung Woo Choi; Hyun Jin Lim; Hye Young Sun; Yusuhn Kang; Jee Won Chai; Sujin Kim; Heung Sik Kang
Skeletal Radiology | 2014
Jee Won Chai; Jung-Ah Choi; Ja-Young Choi; Sujin Kim; Sung Hwan Hong; Heung Sik Kang
Journal of Clinical Radiololgy | 2015
Sujin Kim; Joon Woo Lee; Jee Won Chai; Guen Young Lee; Ja Yeon You; Heung Sik Kang; Joong Mo Ahn
Investigative Magnetic Resonance Imaging | 2016
Su-Mi Shin; Jee Won Chai; Sujin Kim; Jina Park; Ja Yeon You