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Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy
OBJECTIVE: To evaluate the effectiveness of diffusion-weighted imaging in the assessment of idiopathic epilepsy in Mongolian. METHODS: One hundred Mongolian idiopathic epilepsy patients were enrolled as the observation group and 100 healthy Mongolian volunteers as the control group. All the subjects...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722273/ https://www.ncbi.nlm.nih.gov/pubmed/36478789 http://dx.doi.org/10.1155/2022/6978116 |
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author | Zhao, Pengfei Ma, Xueying Ban, Chao Gao, Yang Qiao, Pengfei |
author_facet | Zhao, Pengfei Ma, Xueying Ban, Chao Gao, Yang Qiao, Pengfei |
author_sort | Zhao, Pengfei |
collection | PubMed |
description | OBJECTIVE: To evaluate the effectiveness of diffusion-weighted imaging in the assessment of idiopathic epilepsy in Mongolian. METHODS: One hundred Mongolian idiopathic epilepsy patients were enrolled as the observation group and 100 healthy Mongolian volunteers as the control group. All the subjects underwent routine MRI, diffusion kurtosis imaging (DKI), and intra-voxel incoherent motion (IVIM) examination on a 3.0 T scanner. Mean kurtosis (MK), mean diffusivity (MD), fractional anisotropy (FA), true water molecular diffusion coefficient (D), mean diffusion coefficient (MD), pseudo-diffusion coefficient (D∗), and perfusion fraction (f) of each region of interest in the brain were measured. Count data were expressed as rates, and the chi-square test was performed for comparison between groups. Measurement data were first assessed by a normality test, and the t test for independent samples was performed for comparison between groups if they met the normal distribution; for non-normal distribution, the Mann-Whitney U test was performed for comparison between groups. A ROC curve analysis was performed to test the effectiveness of each parameter. RESULTS: MK values of the hippocampus, thalamus, and white matter of the temporal lobe in the observation group were significantly higher than those in the control group, while D and F values were significantly lower (all P < 0.05). ROC curve analysis showed that MK, D, and F values of the hippocampus, thalamus, and white matter of the temporal lobe had moderate to good diagnostic efficacy for idiopathic epilepsy (AUC = 0.617–0.749, all P < 0.001). CONCLUSION: DKI and IVIM can more accurately represent the abnormal changes of brain tissue in patients with epilepsy, and it may have important implications for the clinical diagnosis of Mongolian epileptic patients. |
format | Online Article Text |
id | pubmed-9722273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-97222732022-12-06 Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy Zhao, Pengfei Ma, Xueying Ban, Chao Gao, Yang Qiao, Pengfei J Healthc Eng Research Article OBJECTIVE: To evaluate the effectiveness of diffusion-weighted imaging in the assessment of idiopathic epilepsy in Mongolian. METHODS: One hundred Mongolian idiopathic epilepsy patients were enrolled as the observation group and 100 healthy Mongolian volunteers as the control group. All the subjects underwent routine MRI, diffusion kurtosis imaging (DKI), and intra-voxel incoherent motion (IVIM) examination on a 3.0 T scanner. Mean kurtosis (MK), mean diffusivity (MD), fractional anisotropy (FA), true water molecular diffusion coefficient (D), mean diffusion coefficient (MD), pseudo-diffusion coefficient (D∗), and perfusion fraction (f) of each region of interest in the brain were measured. Count data were expressed as rates, and the chi-square test was performed for comparison between groups. Measurement data were first assessed by a normality test, and the t test for independent samples was performed for comparison between groups if they met the normal distribution; for non-normal distribution, the Mann-Whitney U test was performed for comparison between groups. A ROC curve analysis was performed to test the effectiveness of each parameter. RESULTS: MK values of the hippocampus, thalamus, and white matter of the temporal lobe in the observation group were significantly higher than those in the control group, while D and F values were significantly lower (all P < 0.05). ROC curve analysis showed that MK, D, and F values of the hippocampus, thalamus, and white matter of the temporal lobe had moderate to good diagnostic efficacy for idiopathic epilepsy (AUC = 0.617–0.749, all P < 0.001). CONCLUSION: DKI and IVIM can more accurately represent the abnormal changes of brain tissue in patients with epilepsy, and it may have important implications for the clinical diagnosis of Mongolian epileptic patients. Hindawi 2022-11-28 /pmc/articles/PMC9722273/ /pubmed/36478789 http://dx.doi.org/10.1155/2022/6978116 Text en Copyright © 2022 Pengfei Zhao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhao, Pengfei Ma, Xueying Ban, Chao Gao, Yang Qiao, Pengfei Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy |
title | Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy |
title_full | Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy |
title_fullStr | Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy |
title_full_unstemmed | Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy |
title_short | Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy |
title_sort | brain diffusion weighted imaging study of mongolian idiopathic epilepsy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722273/ https://www.ncbi.nlm.nih.gov/pubmed/36478789 http://dx.doi.org/10.1155/2022/6978116 |
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