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Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren’s Syndrome
At present, no gold standard for diagnosing Sjögren’s syndrome (SS) is available in clinical practice. The 2002 American–European Consensus Group classification criteria are used to diagnose SS. Clinically, it is challenging to distinguish patients with SS from suspected patients undergoing differen...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610085/ https://www.ncbi.nlm.nih.gov/pubmed/31270382 http://dx.doi.org/10.1038/s41598-019-46054-6 |
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author | Chu, Chen Feng, Qianqian Zhang, Huayong Zhu, Yun Chen, Weibo He, Jian Sun, Lingyun Zhou, Zhengyang |
author_facet | Chu, Chen Feng, Qianqian Zhang, Huayong Zhu, Yun Chen, Weibo He, Jian Sun, Lingyun Zhou, Zhengyang |
author_sort | Chu, Chen |
collection | PubMed |
description | At present, no gold standard for diagnosing Sjögren’s syndrome (SS) is available in clinical practice. The 2002 American–European Consensus Group classification criteria are used to diagnose SS. Clinically, it is challenging to distinguish patients with SS from suspected patients undergoing different therapies. A total of 52 patients with SS and 24 patients suspected of having the disease prospectively underwent 3.0-T magnetic resonance (MR) scanning, including diffusion-weighted imaging (b = 0 and 1000 s/mm(2)). The whole-volume apparent diffusion coefficient (ADC) histogram analysis generated ADC(mean), skewness, kurtosis, and entropy values from bilateral parotid glands. Continuous variables were compared using an independent two-sample t test, and categorical variable compared using the Fisher’s test between the two groups. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of the indexes. Fisher’s tests demonstrated that some clinical indexes and MR morphology grades differed significantly between patients with SS and patients suspected of having the disease (all P ≤ 0.001). The parotid entropy value of patients with SS was significantly higher than that of patients suspected of having the disease (P < 0.001). Among MR parameters, entropy combined with kurtosis performed the best in differentiating patients with SS from those suspected of having SS (area under the ROC curve = 0.955). A whole-volume ADC histogram analysis might provide a series of parameters that reflect tissue characteristics. |
format | Online Article Text |
id | pubmed-6610085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66100852019-07-14 Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren’s Syndrome Chu, Chen Feng, Qianqian Zhang, Huayong Zhu, Yun Chen, Weibo He, Jian Sun, Lingyun Zhou, Zhengyang Sci Rep Article At present, no gold standard for diagnosing Sjögren’s syndrome (SS) is available in clinical practice. The 2002 American–European Consensus Group classification criteria are used to diagnose SS. Clinically, it is challenging to distinguish patients with SS from suspected patients undergoing different therapies. A total of 52 patients with SS and 24 patients suspected of having the disease prospectively underwent 3.0-T magnetic resonance (MR) scanning, including diffusion-weighted imaging (b = 0 and 1000 s/mm(2)). The whole-volume apparent diffusion coefficient (ADC) histogram analysis generated ADC(mean), skewness, kurtosis, and entropy values from bilateral parotid glands. Continuous variables were compared using an independent two-sample t test, and categorical variable compared using the Fisher’s test between the two groups. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of the indexes. Fisher’s tests demonstrated that some clinical indexes and MR morphology grades differed significantly between patients with SS and patients suspected of having the disease (all P ≤ 0.001). The parotid entropy value of patients with SS was significantly higher than that of patients suspected of having the disease (P < 0.001). Among MR parameters, entropy combined with kurtosis performed the best in differentiating patients with SS from those suspected of having SS (area under the ROC curve = 0.955). A whole-volume ADC histogram analysis might provide a series of parameters that reflect tissue characteristics. Nature Publishing Group UK 2019-07-03 /pmc/articles/PMC6610085/ /pubmed/31270382 http://dx.doi.org/10.1038/s41598-019-46054-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chu, Chen Feng, Qianqian Zhang, Huayong Zhu, Yun Chen, Weibo He, Jian Sun, Lingyun Zhou, Zhengyang Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren’s Syndrome |
title | Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren’s Syndrome |
title_full | Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren’s Syndrome |
title_fullStr | Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren’s Syndrome |
title_full_unstemmed | Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren’s Syndrome |
title_short | Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren’s Syndrome |
title_sort | whole-volume adc histogram analysis in parotid glands to identify patients with sjögren’s syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610085/ https://www.ncbi.nlm.nih.gov/pubmed/31270382 http://dx.doi.org/10.1038/s41598-019-46054-6 |
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