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Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity
Radiologic orbital imaging provides important information in the diagnosis and management of orbital inflammation. However, the diagnostic value of orbital imaging is not well elucidated. This study aimed to investigate the diagnostic accuracy of orbital imaging to diagnose orbital inflammatory dise...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736889/ https://www.ncbi.nlm.nih.gov/pubmed/33318556 http://dx.doi.org/10.1038/s41598-020-78830-0 |
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author | Lee, Min Joung Hamilton, Bronwyn E. Pettersson, David Ogle, Kimberly Murdock, Jennifer Dailey, Roger A. Ng, John D. Steele, Eric A. Verma, Rohan Planck, Stephen R. Martin, Tammy M. Choi, Dongseok Rosenbaum, James T. |
author_facet | Lee, Min Joung Hamilton, Bronwyn E. Pettersson, David Ogle, Kimberly Murdock, Jennifer Dailey, Roger A. Ng, John D. Steele, Eric A. Verma, Rohan Planck, Stephen R. Martin, Tammy M. Choi, Dongseok Rosenbaum, James T. |
author_sort | Lee, Min Joung |
collection | PubMed |
description | Radiologic orbital imaging provides important information in the diagnosis and management of orbital inflammation. However, the diagnostic value of orbital imaging is not well elucidated. This study aimed to investigate the diagnostic accuracy of orbital imaging to diagnose orbital inflammatory diseases and its ability to detect active inflammation. We collected 75 scans of 52 patients (49 computed tomography (CT) scans; 26 magnetic resonance (MR) imaging scans). Clinical diagnoses included thyroid eye disease (TED) (41 scans, 31 patients), non-specific orbital inflammation (NSOI) (22 scans, 14 patients), sarcoidosis (4 scans, 3 patients), IgG4-related ophthalmic disease (IgG4-ROD) (5 scans, 3 patients), and granulomatosis with polyangiitis (GPA) (3 scans, 1 patient). Two experienced neuroradiologists interpreted the scans, offered a most likely diagnosis, and assessed the activity of inflammation, blinded to clinical findings. The accuracy rate of radiological diagnosis compared to each clinical diagnosis was evaluated. Sensitivity and specificity in detecting active inflammation were analyzed for TED and NSOI. The accuracy rate of radiologic diagnosis was 80.0% for IgG4-ROD, 77.3% for NSOI, and 73.2% for TED. Orbital imaging could not diagnose sarcoidosis. Orbital CT had a sensitivity of 50.0% and a specificity of 75.0% to predict active TED using clinical assessment as the gold standard. The sensitivity/specificity of orbital MR was 83.3/16.7% for the detection of active NSOI. In conclusion, orbital imaging is accurate for the diagnosis of IgG4, NSOI, and TED. Further studies with a large number of cases are needed to confirm this finding, especially with regard to uncommon diseases. Orbital CT showed moderate sensitivity and good specificity for identifying active TED. |
format | Online Article Text |
id | pubmed-7736889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77368892020-12-15 Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity Lee, Min Joung Hamilton, Bronwyn E. Pettersson, David Ogle, Kimberly Murdock, Jennifer Dailey, Roger A. Ng, John D. Steele, Eric A. Verma, Rohan Planck, Stephen R. Martin, Tammy M. Choi, Dongseok Rosenbaum, James T. Sci Rep Article Radiologic orbital imaging provides important information in the diagnosis and management of orbital inflammation. However, the diagnostic value of orbital imaging is not well elucidated. This study aimed to investigate the diagnostic accuracy of orbital imaging to diagnose orbital inflammatory diseases and its ability to detect active inflammation. We collected 75 scans of 52 patients (49 computed tomography (CT) scans; 26 magnetic resonance (MR) imaging scans). Clinical diagnoses included thyroid eye disease (TED) (41 scans, 31 patients), non-specific orbital inflammation (NSOI) (22 scans, 14 patients), sarcoidosis (4 scans, 3 patients), IgG4-related ophthalmic disease (IgG4-ROD) (5 scans, 3 patients), and granulomatosis with polyangiitis (GPA) (3 scans, 1 patient). Two experienced neuroradiologists interpreted the scans, offered a most likely diagnosis, and assessed the activity of inflammation, blinded to clinical findings. The accuracy rate of radiological diagnosis compared to each clinical diagnosis was evaluated. Sensitivity and specificity in detecting active inflammation were analyzed for TED and NSOI. The accuracy rate of radiologic diagnosis was 80.0% for IgG4-ROD, 77.3% for NSOI, and 73.2% for TED. Orbital imaging could not diagnose sarcoidosis. Orbital CT had a sensitivity of 50.0% and a specificity of 75.0% to predict active TED using clinical assessment as the gold standard. The sensitivity/specificity of orbital MR was 83.3/16.7% for the detection of active NSOI. In conclusion, orbital imaging is accurate for the diagnosis of IgG4, NSOI, and TED. Further studies with a large number of cases are needed to confirm this finding, especially with regard to uncommon diseases. Orbital CT showed moderate sensitivity and good specificity for identifying active TED. Nature Publishing Group UK 2020-12-14 /pmc/articles/PMC7736889/ /pubmed/33318556 http://dx.doi.org/10.1038/s41598-020-78830-0 Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lee, Min Joung Hamilton, Bronwyn E. Pettersson, David Ogle, Kimberly Murdock, Jennifer Dailey, Roger A. Ng, John D. Steele, Eric A. Verma, Rohan Planck, Stephen R. Martin, Tammy M. Choi, Dongseok Rosenbaum, James T. Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity |
title | Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity |
title_full | Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity |
title_fullStr | Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity |
title_full_unstemmed | Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity |
title_short | Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity |
title_sort | radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736889/ https://www.ncbi.nlm.nih.gov/pubmed/33318556 http://dx.doi.org/10.1038/s41598-020-78830-0 |
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