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The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome
This study aimed to assess the effectiveness of MRI-based texture features of the lacrimal glands (LG) in augmenting the imaging differentiation between primary Sjögren’s Syndrome (pSS) affected LG and healthy LG, as well as to emphasize the possible importance of radiomics in pSS early-imaging diag...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9456288/ https://www.ncbi.nlm.nih.gov/pubmed/36077442 http://dx.doi.org/10.3390/ijms231710051 |
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author | Muntean, Delia Doris Bădărînză, Maria Ștefan, Paul Andrei Lenghel, Manuela Lavinia Rusu, Georgeta Mihaela Csutak, Csaba Coroian, Paul Alexandru Lupean, Roxana Adelina Fodor, Daniela |
author_facet | Muntean, Delia Doris Bădărînză, Maria Ștefan, Paul Andrei Lenghel, Manuela Lavinia Rusu, Georgeta Mihaela Csutak, Csaba Coroian, Paul Alexandru Lupean, Roxana Adelina Fodor, Daniela |
author_sort | Muntean, Delia Doris |
collection | PubMed |
description | This study aimed to assess the effectiveness of MRI-based texture features of the lacrimal glands (LG) in augmenting the imaging differentiation between primary Sjögren’s Syndrome (pSS) affected LG and healthy LG, as well as to emphasize the possible importance of radiomics in pSS early-imaging diagnosis. The MRI examinations of 23 patients diagnosed with pSS and 23 healthy controls were retrospectively included. Texture features of both LG were extracted from a coronal post-contrast T1-weighted sequence, using a dedicated software. The ability of texture features to discriminate between healthy and pSS lacrimal glands was performed through univariate, multivariate, and receiver operating characteristics analysis. Two quantitative textural analysis features, RunLengthNonUniformityNormalized (RLNonUN) and Maximum2DDiameterColumn (Max2DDC), were independent predictors of pSS-affected glands (p < 0.001). Their combined ability was able to identify pSS LG with 91.67% sensitivity and 83.33% specificity. MRI-based texture features have the potential to function as quantitative additional criteria that could increase the diagnostic accuracy of pSS-affected LG. |
format | Online Article Text |
id | pubmed-9456288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94562882022-09-09 The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome Muntean, Delia Doris Bădărînză, Maria Ștefan, Paul Andrei Lenghel, Manuela Lavinia Rusu, Georgeta Mihaela Csutak, Csaba Coroian, Paul Alexandru Lupean, Roxana Adelina Fodor, Daniela Int J Mol Sci Article This study aimed to assess the effectiveness of MRI-based texture features of the lacrimal glands (LG) in augmenting the imaging differentiation between primary Sjögren’s Syndrome (pSS) affected LG and healthy LG, as well as to emphasize the possible importance of radiomics in pSS early-imaging diagnosis. The MRI examinations of 23 patients diagnosed with pSS and 23 healthy controls were retrospectively included. Texture features of both LG were extracted from a coronal post-contrast T1-weighted sequence, using a dedicated software. The ability of texture features to discriminate between healthy and pSS lacrimal glands was performed through univariate, multivariate, and receiver operating characteristics analysis. Two quantitative textural analysis features, RunLengthNonUniformityNormalized (RLNonUN) and Maximum2DDiameterColumn (Max2DDC), were independent predictors of pSS-affected glands (p < 0.001). Their combined ability was able to identify pSS LG with 91.67% sensitivity and 83.33% specificity. MRI-based texture features have the potential to function as quantitative additional criteria that could increase the diagnostic accuracy of pSS-affected LG. MDPI 2022-09-02 /pmc/articles/PMC9456288/ /pubmed/36077442 http://dx.doi.org/10.3390/ijms231710051 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Muntean, Delia Doris Bădărînză, Maria Ștefan, Paul Andrei Lenghel, Manuela Lavinia Rusu, Georgeta Mihaela Csutak, Csaba Coroian, Paul Alexandru Lupean, Roxana Adelina Fodor, Daniela The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome |
title | The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome |
title_full | The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome |
title_fullStr | The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome |
title_full_unstemmed | The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome |
title_short | The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome |
title_sort | diagnostic value of mri-based radiomic analysis of lacrimal glands in patients with sjögren’s syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9456288/ https://www.ncbi.nlm.nih.gov/pubmed/36077442 http://dx.doi.org/10.3390/ijms231710051 |
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