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Texture features of periaqueductal gray in the patients with medication-overuse headache

BACKGROUND: Periaqueductal gray (PAG) is the descending pain modulatory center, and PAG dysfunction had been recognized in migraine. Here we propose to investigate altered PAG texture features (quantitative approach for extracting texture descriptors for images) in the patients with medication-overu...

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Autores principales: Chen, Zhiye, Chen, Xiaoyan, Liu, Mengqi, Liu, Shuangfeng, Ma, Lin, Yu, Shengyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5289934/
https://www.ncbi.nlm.nih.gov/pubmed/28155029
http://dx.doi.org/10.1186/s10194-017-0727-0
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author Chen, Zhiye
Chen, Xiaoyan
Liu, Mengqi
Liu, Shuangfeng
Ma, Lin
Yu, Shengyuan
author_facet Chen, Zhiye
Chen, Xiaoyan
Liu, Mengqi
Liu, Shuangfeng
Ma, Lin
Yu, Shengyuan
author_sort Chen, Zhiye
collection PubMed
description BACKGROUND: Periaqueductal gray (PAG) is the descending pain modulatory center, and PAG dysfunction had been recognized in migraine. Here we propose to investigate altered PAG texture features (quantitative approach for extracting texture descriptors for images) in the patients with medication-overuse headache (MOH) based on high resolution brain structural image to understand the MOH pathogenesis. METHODS: The brain structural images were obtained from 32 normal controls (NC) and 44 MOH patients on 3.0 T MR system. PAG template was created based on the ICBM152 gray matter template, and the individual PAG segment was performed by applying the deformation field to the PAG template after structural image segment. Grey-level co-occurrence matrix (GLCM) was performed to measure the texture parameters including angular second moment (ASM), Contrast, Correlation, inverse difference moment (IDM) and Entropy. RESULTS: Contrast was increased in MOH patients (9.28 ± 3.11) compared with that in NC (7.94 ± 0.65) (P < 0.05), and other texture features showed no significant difference between MOH and NC (P > 0.05). The area under the ROC curve was 0.697 for Contrast in the distinction of MOH from NC, and the cut-off value of Contrast was 8.11 with sensitivity 70.5% and specificity 62.5%. The contrast was negatively with the sleep scores (r = -0.434, P = 0.003). CONCLUSION: Texture Contrast could be used to identify the altered MR imaging characteristics in MOH in understanding the MOH pathogenesis, and it could also be considered as imaging biomarker in for MOH diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s10194-017-0727-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-52899342017-02-15 Texture features of periaqueductal gray in the patients with medication-overuse headache Chen, Zhiye Chen, Xiaoyan Liu, Mengqi Liu, Shuangfeng Ma, Lin Yu, Shengyuan J Headache Pain Research Article BACKGROUND: Periaqueductal gray (PAG) is the descending pain modulatory center, and PAG dysfunction had been recognized in migraine. Here we propose to investigate altered PAG texture features (quantitative approach for extracting texture descriptors for images) in the patients with medication-overuse headache (MOH) based on high resolution brain structural image to understand the MOH pathogenesis. METHODS: The brain structural images were obtained from 32 normal controls (NC) and 44 MOH patients on 3.0 T MR system. PAG template was created based on the ICBM152 gray matter template, and the individual PAG segment was performed by applying the deformation field to the PAG template after structural image segment. Grey-level co-occurrence matrix (GLCM) was performed to measure the texture parameters including angular second moment (ASM), Contrast, Correlation, inverse difference moment (IDM) and Entropy. RESULTS: Contrast was increased in MOH patients (9.28 ± 3.11) compared with that in NC (7.94 ± 0.65) (P < 0.05), and other texture features showed no significant difference between MOH and NC (P > 0.05). The area under the ROC curve was 0.697 for Contrast in the distinction of MOH from NC, and the cut-off value of Contrast was 8.11 with sensitivity 70.5% and specificity 62.5%. The contrast was negatively with the sleep scores (r = -0.434, P = 0.003). CONCLUSION: Texture Contrast could be used to identify the altered MR imaging characteristics in MOH in understanding the MOH pathogenesis, and it could also be considered as imaging biomarker in for MOH diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s10194-017-0727-0) contains supplementary material, which is available to authorized users. Springer Milan 2017-02-02 /pmc/articles/PMC5289934/ /pubmed/28155029 http://dx.doi.org/10.1186/s10194-017-0727-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Chen, Zhiye
Chen, Xiaoyan
Liu, Mengqi
Liu, Shuangfeng
Ma, Lin
Yu, Shengyuan
Texture features of periaqueductal gray in the patients with medication-overuse headache
title Texture features of periaqueductal gray in the patients with medication-overuse headache
title_full Texture features of periaqueductal gray in the patients with medication-overuse headache
title_fullStr Texture features of periaqueductal gray in the patients with medication-overuse headache
title_full_unstemmed Texture features of periaqueductal gray in the patients with medication-overuse headache
title_short Texture features of periaqueductal gray in the patients with medication-overuse headache
title_sort texture features of periaqueductal gray in the patients with medication-overuse headache
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5289934/
https://www.ncbi.nlm.nih.gov/pubmed/28155029
http://dx.doi.org/10.1186/s10194-017-0727-0
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