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Your search keyword '"Kim, Ho Sung"' showing total 27 results
Start Over Author "Kim, Ho Sung" Journal korean journal of radiology
27 results on '"Kim, Ho Sung"'

25. Determining Progressive Disease Using RANO 2.0-Further Clarifications and Explanations.

Author

Park JE, Park YW, Kim YH, Song SW, Hong CK, Kim JH, and Kim HS

Abstract

Competing Interests: Ji Eun Park and Ho Sung Kim, who hold respective positions on the Editorial Board Member and Section Editor of the Korean Journal of Radiology, were not involved in the editorial evaluation or decision to publish this article. The remaining author has declared no conflicts of interest.

Published
2024
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26. Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy.

Author

Suh PS, Park JE, Roh YH, Kim S, Jung M, Koo YS, Lee SA, Choi Y, and Kim HS

Subjects
Humans, Female, Adult, Retrospective Studies, Magnetic Resonance Imaging methods, Image Processing, Computer-Assisted, Epilepsy, Temporal Lobe diagnostic imaging, Epilepsy, Temporal Lobe pathology, Epilepsy, Temporal Lobe surgery, Deep Learning
Abstract

Objective: To evaluate the diagnostic performance and image quality of 1.5-mm slice thickness MRI with deep learning-based image reconstruction (1.5-mm MRI + DLR) compared to routine 3-mm slice thickness MRI (routine MRI) and 1.5-mm slice thickness MRI without DLR (1.5-mm MRI without DLR) for evaluating temporal lobe epilepsy (TLE)., Materials and Methods: This retrospective study included 117 MR image sets comprising 1.5-mm MRI + DLR, 1.5-mm MRI without DLR, and routine MRI from 117 consecutive patients (mean age, 41 years; 61 female; 34 patients with TLE and 83 without TLE). Two neuroradiologists evaluated the presence of hippocampal or temporal lobe lesions, volume loss, signal abnormalities, loss of internal structure of the hippocampus, and lesion conspicuity in the temporal lobe. Reference standards for TLE were independently constructed by neurologists using clinical and radiological findings. Subjective image quality, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were analyzed. Performance in diagnosing TLE, lesion findings, and image quality were compared among the three protocols., Results: The pooled sensitivity of 1.5-mm MRI + DLR (91.2%) for diagnosing TLE was higher than that of routine MRI (72.1%, P < 0.001). In the subgroup analysis, 1.5-mm MRI + DLR showed higher sensitivity for hippocampal lesions than routine MRI (92.7% vs. 75.0%, P = 0.001), with improved depiction of hippocampal T2 high signal intensity change ( P = 0.016) and loss of internal structure ( P < 0.001). However, the pooled specificity of 1.5-mm MRI + DLR (76.5%) was lower than that of routine MRI (89.2%, P = 0.004). Compared with 1.5-mm MRI without DLR, 1.5-mm MRI + DLR resulted in significantly improved pooled accuracy (91.2% vs. 73.1%, P = 0.010), image quality, SNR, and CNR (all, P < 0.001)., Conclusion: The use of 1.5-mm MRI + DLR enhanced the performance of MRI in diagnosing TLE, particularly in hippocampal evaluation, because of improved depiction of hippocampal abnormalities and enhanced image quality., Competing Interests: The authors have no potential conflicts of interest to disclose., (Copyright © 2024 The Korean Society of Radiology.)

Published
2024
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27. Improved Diagnostic Accuracy of Alzheimer's Disease by Combining Regional Cortical Thickness and Default Mode Network Functional Connectivity: Validated in the Alzheimer's Disease Neuroimaging Initiative Set.

Author

Park JE, Park B, Kim SJ, Kim HS, Choi CG, Jung SC, Oh JY, Lee JH, Roh JH, and Shim WH

Subjects
Aged, Alzheimer Disease diagnostic imaging, Alzheimer Disease pathology, Brain diagnostic imaging, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Retrospective Studies, Sensitivity and Specificity, Support Vector Machine, Temporal Lobe diagnostic imaging, Alzheimer Disease diagnosis, Magnetic Resonance Imaging methods, Neuroimaging
Abstract

Objective: To identify potential imaging biomarkers of Alzheimer's disease by combining brain cortical thickness (CThk) and functional connectivity and to validate this model's diagnostic accuracy in a validation set., Materials and Methods: Data from 98 subjects was retrospectively reviewed, including a study set (n = 63) and a validation set from the Alzheimer's Disease Neuroimaging Initiative (n = 35). From each subject, data for CThk and functional connectivity of the default mode network was extracted from structural T1-weighted and resting-state functional magnetic resonance imaging. Cortical regions with significant differences between patients and healthy controls in the correlation of CThk and functional connectivity were identified in the study set. The diagnostic accuracy of functional connectivity measures combined with CThk in the identified regions was evaluated against that in the medial temporal lobes using the validation set and application of a support vector machine., Results: Group-wise differences in the correlation of CThk and default mode network functional connectivity were identified in the superior temporal ( p < 0.001) and supramarginal gyrus ( p = 0.007) of the left cerebral hemisphere. Default mode network functional connectivity combined with the CThk of those two regions were more accurate than that combined with the CThk of both medial temporal lobes (91.7% vs. 75%)., Conclusion: Combining functional information with CThk of the superior temporal and supramarginal gyri in the left cerebral hemisphere improves diagnostic accuracy, making it a potential imaging biomarker for Alzheimer's disease.

Published
2017
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