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Zhai L, Li F, Luo B, Wang Q, Wu H, Zhao Y, Yuan G, Zhang J. Fat-suppression T2 relaxation time and water fraction predict response to intravenous glucocorticoid therapy for thyroid-associated ophthalmopathy. Eur Radiol 2024:10.1007/s00330-024-10868-4. [PMID: 39093414 DOI: 10.1007/s00330-024-10868-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/13/2024] [Accepted: 06/10/2024] [Indexed: 08/04/2024]
Abstract
OBJECTIVE To investigate the value of fat-suppression (FS) T2 relaxation time (T2RT) derived from FS T2 mapping and water fraction (WF) derived from T2 IDEAL to predict the treatment response to intravenous glucocorticoids (IVGC) in patients with thyroid-associated ophthalmopathy (TAO) based on texture analysis. MATERIALS AND METHODS In this study, 89 patients clinically diagnosed with active and moderate-to-severe TAO were enroled (responsive group, 48 patients; unresponsive group, 41 patients). The baseline clinical characteristics and texture features were compared between the two groups. Multivariate analysis was performed to identify the independent predictors of treatment response to IVGC. ROC analysis and the DeLong test were used to assess and compare the predictive performance of different models. RESULTS The responsive group exhibited significantly shorter disease duration and higher 90th percentile of FS T2RT and kurtosis of WF in the extraocular muscle (EOM) and 95th percentile of WF in the orbital fat (OF) than the unresponsive group. Model 2 (disease duration + WF; AUC, 0.816) and model 3 (disease duration + FS T2RT + WF; AUC, 0.823) demonstrated superior predictive efficacy compared to model 1 (disease duration + FS T2RT; AUC, 0.756), while there was no significant difference between models 2 and 3. CONCLUSIONS The orbital tissues of responders exhibited more oedema and heterogeneity. Furthermore, OF is as valuable as EOM for assessing the therapeutic efficacy of IVGC. Finally, WF derived from T2 IDEAL processed by texture analysis can provide valuable information for predicting the treatment response to IVGC in patients with active and moderate-to-severe TAO. CLINICAL RELEVANCE STATEMENT The texture features of FS T2RT and WF are different between responders and non-responders, which can be the predictive tool for treatment response to IVGC. KEY POINTS Texture analysis can be used for predicting response to IVGC in TAO patients. TAO patients responsive to IVGC show more oedema and heterogeneity in the orbital tissues. WF from T2 IDEAL is a tool to predict the therapeutic response of TAO.
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Affiliation(s)
- Linhan Zhai
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Feng Li
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China
| | - Ban Luo
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qiuxia Wang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hongyu Wu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yali Zhao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Gang Yuan
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jing Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Zhang H, Liu Y, Jiang M, Xia D, Peng Y, Zhu L, Tao X, Wang J, Li J, Sun J, Li Y, Song X, Zhou H, Fan X. Optic nerve compression associated with visual cortex functional alteration in dysthyroid optic neuropathy: A combined orbital and brain imaging study. CNS Neurosci Ther 2024; 30:e14820. [PMID: 38948947 PMCID: PMC11215484 DOI: 10.1111/cns.14820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/02/2024] [Accepted: 06/13/2024] [Indexed: 07/02/2024] Open
Abstract
AIMS To investigate the alterations of the optic nerve and visual cortex in dysthyroid optic neuropathy (DON), a subgroup of thyroid eye disease (TED). METHODS Multiple orbital imaging biomarkers related to optic nerve compression and the amplitude of low-frequency fluctuations (ALFF) of the brain were obtained from 47 patients with DON, 56 TED patients without DON (nDON), and 37 healthy controls (HC). Correlation analyses and diagnostic tests were implemented. RESULTS Compared with HC, the nDON group showed alterations in orbital imaging biomarkers related to optic nerve compression in posterior segments, as well as ALFF of the right inferior temporal gyrus and left fusiform gyrus. DON differed from nDON group mainly in the modified muscle index of the posterior segment of optic nerve, and ALFF of orbital part of right superior frontal gyrus, right hippocampus, and right superior temporal gyrus. Orbital and brain imaging biomarkers were significantly correlated with each other. Diagnostic models attained an area under a curve of 0.80 for the detection of DON. CONCLUSION The combined orbital and brain imaging study revealed alterations of the visual pathway in patients with TED and DON as well as provided diagnostic value. The initiation of alterations in the visual cortex in TED may precede the onset of DON.
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Affiliation(s)
- Haiyang Zhang
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
| | - Yuting Liu
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
| | - Mengda Jiang
- Department of Radiology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Duojin Xia
- School of Health Science and EngineeringUniversity of Shanghai for Science and TechnologyShanghaiChina
| | - Yuhang Peng
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
| | - Ling Zhu
- Department of Radiology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiaofeng Tao
- Department of Radiology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jue Wang
- Institute of Sports Medicine and HealthChengdu Sport UniversityChengduChina
| | - Jipeng Li
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
| | - Jing Sun
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
| | - Yinwei Li
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
| | - Xuefei Song
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
| | - Huifang Zhou
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
| | - Xianqun Fan
- Department of Ophthalmology, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Orbital Diseases and Ocular OncologyShanghaiChina
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Pu XY, Chen L, Hu H, Wu Q, Jiang WH, Lu JL, Chen HH, Xu XQ, Wu FY. Dixon MRI-based quantitative parameters of extraocular muscles, intraorbital fat, and lacrimal glands for staging thyroid-associated ophthalmopathy. Insights Imaging 2024; 15:136. [PMID: 38853188 PMCID: PMC11162983 DOI: 10.1186/s13244-024-01693-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/08/2024] [Indexed: 06/11/2024] Open
Abstract
OBJECTIVE To investigate the value of Dixon magnetic resonance imaging (MRI)-based quantitative parameters of extraocular muscles (EOMs), intraorbital fat (IF), and lacrimal glands (LGs) in staging patients with thyroid-associated ophthalmopathy (TAO). METHODS Two hundred patients with TAO (211 active and 189 inactive eyes) who underwent Dixon MRI for pretreatment evaluation were retrospectively enrolled and divided into training (169 active and 151 inactive eyes) and validation (42 active and 38 inactive eyes) cohorts. The maximum, mean, and minimum values of the signal intensity ratio (SIR), fat fraction (FF), and water fraction (WF) of EOMs, IF, and LGs were measured and compared between the active and inactive groups in the training cohort. Binary logistic regression analysis, receiver operating characteristic curve analysis, and the Delong test were used for further statistical analyses, as appropriate. RESULTS Compared with inactive TAOs, active TAOs demonstrated significantly greater EOM-SIRmax, EOM-SIRmean, EOM-SIRmin, IF-SIRmax, IF-SIRmean, LG-SIRmax, LG-SIRmean, EOM-WFmean, EOM-WFmin, IF-WFmax, IF-WFmean, and LG-WFmean and lower EOM-FFmax, EOM-FFmean, IF-FFmean, IF-FFmin, and LG-FFmean values (all p < 0.05). The EOM-SIRmean, LG-SIRmean, and LG-FFmean values were independently associated with active TAO (all p < 0.05). The combination of the EOM-SIRmean, LG-SIRmean, and LG-FFmean values showed better performance than the EOM-SIRmean value alone in staging TAO in both the training (AUC, 0.820 vs 0.793; p = 0.016) and validation (AUC, 0.751 vs 0.733, p = 0.341) cohorts. CONCLUSION Dixon MRI-based parameters of EOMs, LGs, and IF are useful for differentiating active from inactive TAO. The integration of multiple parameters can further improve staging performance. CRITICAL RELEVANCE STATEMENT In this study, the authors explored the combined value of quantitative parameters of EOMs, IF, and LGs derived from Dixon MRI in staging TAO patients, which can support the establishment of a proper therapeutic plan. KEY POINTS The quantitative parameters of EOMs, LGs, and IF are useful for staging TAO. The EOM-SIRmean, LG-SIRmean, and LG-FFmean values were found to independently correlate with active TAO. Joint evaluation of orbital tissue improved the ability to assess TAO activity.
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Affiliation(s)
- Xiong-Ying Pu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lu Chen
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hao Hu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qian Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wen-Hao Jiang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jin-Ling Lu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huan-Huan Chen
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiao-Quan Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
| | - Fei-Yun Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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Huang XS, Dai N, Xu JX, Xiang JY, Zheng XZ, Ke TY, Ma LY, Shi QH, Fan SF. MRI quantitative assessment of the effects of low-carbohydrate therapy on Hashimoto's thyroiditis. Endocr Connect 2024; 13:e230477. [PMID: 38552311 PMCID: PMC11046326 DOI: 10.1530/ec-23-0477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/28/2024] [Indexed: 04/24/2024]
Abstract
Objective Hashimoto's thyroiditis is an inflammatory disease, and research suggests that a low-carbohydrate diet may have potential anti-inflammatory effects. This study aims to utilize Dixon-T2-weighted imaging (WI) sequence for a semi-quantitative assessment of the impact of a low-carbohydrate diet on the degree of thyroid inflammation in patients with Hashimoto's thyroiditis. Methods Forty patients with Hashimoto's thyroiditis were recruited for this study and randomly divided into two groups: one with a normal diet and the other with a low-carbohydrate diet. Antibodies against thyroid peroxidase (TPOAb) and thyroglobulin (TgAb) were measured for all participants. Additionally, thyroid water content was semi-quantitatively measured using Dixon-T2WI. The same tests and measurements were repeated for all participants after 6 months. Results After 6 months of a low-carbohydrate diet, patients with Hashimoto's thyroiditis showed a significant reduction in thyroid water content (94.84 ± 1.57% vs 93.07 ± 2.05%, P < 0.05). Concurrently, a decrease was observed in levels of TPOAb and TgAb (TPOAb: 211.30 (92.63-614.62) vs 89.45 (15.9-215.67); TgAb: 17.05 (1.47-81.64) vs 4.1 (0.51-19.42), P < 0.05). In contrast, there were no significant differences in thyroid water content or TPOAb and TgAb levels for patients with Hashimoto's thyroiditis following a normal diet after 6 months (P < 0.05). Conclusion Dixon-T2WI can quantitatively assess the degree of thyroid inflammation in patients with Hashimoto's thyroiditis. Following a low-carbohydrate diet intervention, there is a significant reduction in thyroid water content and a decrease in levels of TPOAb and TgAb. These results suggest that a low-carbohydrate diet may help alleviate inflammation in patients with Hashimoto's thyroiditis.
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Affiliation(s)
- Xiao-Shan Huang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Ning Dai
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Jian-Xia Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Jun-Yi Xiang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiao-Zhong Zheng
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Tian-Yu Ke
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Lin-Ying Ma
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Qi-Hao Shi
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Shu-Feng Fan
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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Alkhadrawi AM, Lin LY, Langarica SA, Kim K, Ha SK, Lee NG, Do S. Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease. Invest Ophthalmol Vis Sci 2024; 65:6. [PMID: 38696188 PMCID: PMC11077914 DOI: 10.1167/iovs.65.5.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 04/02/2024] [Indexed: 05/12/2024] Open
Abstract
Purpose Thyroid eye disease (TED) is characterized by proliferation of orbital tissues and complicated by compressive optic neuropathy (CON). This study aims to utilize a deep-learning (DL)-based automated segmentation model to segment orbital muscle and fat volumes on computed tomography (CT) images and provide quantitative volumetric data and a machine learning (ML)-based classifier to distinguish between TED and TED with CON. Methods Subjects with TED who underwent clinical evaluation and orbital CT imaging were included. Patients with clinical features of CON were classified as having severe TED, and those without were classified as having mild TED. Normal subjects were used for controls. A U-Net DL-model was used for automatic segmentation of orbital muscle and fat volumes from orbital CTs, and ensemble of Random Forest Classifiers were used for volumetric analysis of muscle and fat. Results Two hundred eighty-one subjects were included in this study. Automatic segmentation of orbital tissues was performed. Dice coefficient was recorded to be 0.902 and 0.921 for muscle and fat volumes, respectively. Muscle volumes among normal, mild, and severe TED were found to be statistically different. A classification model utilizing volume data and limited patient data had an accuracy of 0.838 and an area under the curve (AUC) of 0.929 in predicting normal, mild TED, and severe TED. Conclusions DL-based automated segmentation of orbital images for patients with TED was found to be accurate and efficient. An ML-based classification model using volumetrics and metadata led to high diagnostic accuracy in distinguishing TED and TED with CON. By enabling rapid and precise volumetric assessment, this may be a useful tool in future clinical studies.
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Affiliation(s)
- Adham M. Alkhadrawi
- Department of Radiology, Lab of Medical Imaging and Computation, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Lisa Y. Lin
- Department of Ophthalmology, Ophthalmic Plastic Surgery Service, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
| | - Saul A. Langarica
- Department of Radiology, Lab of Medical Imaging and Computation, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Kyungsu Kim
- Department of Radiology, Lab of Medical Imaging and Computation, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Sierra K. Ha
- Department of Ophthalmology, Ophthalmic Plastic Surgery Service, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
| | - Nahyoung G. Lee
- Department of Ophthalmology, Ophthalmic Plastic Surgery Service, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
| | - Synho Do
- Department of Radiology, Lab of Medical Imaging and Computation, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- KU-Korea Institute of Science and Technology (KIST) Graduate School of Converging Science and Technology, Korea University, Seoul, Korea
- Kempner Institute, Harvard University, Boston, Massachusetts, United States
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Luccas R, Riguetto CM, Alves M, Zantut-Wittmann DE, Reis F. Computed tomography and magnetic resonance imaging approaches to Graves' ophthalmopathy: a narrative review. Front Endocrinol (Lausanne) 2024; 14:1277961. [PMID: 38260158 PMCID: PMC10801040 DOI: 10.3389/fendo.2023.1277961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 12/12/2023] [Indexed: 01/24/2024] Open
Abstract
Graves' ophthalmopathy (GO) affects up to 50% of patients with Graves' disease (GD) ranging from mild ocular irritation to vision loss. The initial diagnosis is based on clinical findings and laboratory tests. Orbital imaging, such as magnetic resonance imaging (MRI) and computed tomography (CT), is an important tool to assess orbital changes, being also useful for understanding disease progression and surgical planning. In this narrative review, we included 92 studies published from 1979 to 2020 that used either MRI and/or CT to diagnose and investigate GO, proposing new methods and techniques. Most of the methods used still need to be corroborated and validated, and, despite the different methods and approaches for thyroid eye disease (TED) evaluation, there is still a lack of standardization of measurements and outcome reports; therefore, additional studies should be performed to include these methods in clinical practice, facilitating the diagnosis and approach for the treatment of TED.
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Affiliation(s)
- Rafael Luccas
- Graduate Program of Neuroscience, Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
- Department of Anesthesiology, Oncology and Radiology, Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
| | - Cinthia Minatel Riguetto
- Division of Endocrinology, Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand, Hamilton, New Zealand
| | - Monica Alves
- Department of Ophthalmology and Otorhinolaryngology, Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
| | | | - Fabiano Reis
- Department of Anesthesiology, Oncology and Radiology, Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
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Ollitrault A, Charbonneau F, Herdan ML, Bergès O, Zuber K, Giovansili L, Launay P, Savatovsky J, Lecler A. Dixon-T2WI magnetic resonance imaging at 3 tesla outperforms conventional imaging for thyroid eye disease. Eur Radiol 2021; 31:5198-5205. [PMID: 33409786 DOI: 10.1007/s00330-020-07540-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 10/22/2020] [Accepted: 11/18/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVES To determine the diagnostic performances of a single Dixon-T2-weighted imaging (WI) sequence compared to a conventional protocol including T1-, T2-, and fat-suppressed T2-weighted MRI at 3 T when assessing thyroid eye disease (TED). MATERIALS AND METHODS This IRB-approved prospective single-center study enrolled participants presenting with confirmed TED from April 2015 to October 2019. They underwent an MRI, including a conventional protocol and a Dixon-T2WI sequence. Two neuroradiologists, blinded to all data, read both datasets independently and randomly. They assessed the presence of extraocular muscle (EOM) inflammation, enlargement, fatty degeneration, or fibrosis as well as the presence of artifacts. The Wilcoxon signed-rank test was used. RESULTS Two hundred six participants were enrolled (135/206 [66%] women, 71/206 [34%] men, age 52.3 ± 13.2 years). Dixon-T2WI was significantly more likely to detect at least one inflamed EOM as compared to the conventional set (248/412 [60%] versus 228/412 [55%] eyes; (p = 0.02). Dixon-T2WI was more sensitive and specific than the conventional set for assessing muscular inflammation (100% versus 94.7% and 71.2% versus 68.5%, respectively). Dixon-T2WI was significantly less likely to show major or minor artifacts as compared to fat-suppressed T2WI (20/412 [5%] versus 109/412 [27%] eyes, p < 0.001, and 175/412 [42%] versus 257/412 [62%] eyes, p < 0.001). Confidence was significantly higher with Dixon-T2WI than with the conventional set (2.35 versus 2.24, p = 0.003). CONCLUSION Dixon-T2WI showed higher sensitivity and specificity and showed fewer artifacts than a conventional protocol when assessing thyroid eye disease, in addition to higher self-reported confidence. KEY POINTS • Dixon-T2WI has better sensitivity and specificity than a conventional protocol for assessing inflamed extraocular muscles in patients with thyroid eye disease. • Dixon-T2WI shows significantly fewer artifacts than fat-suppressed T2WI. • Dixon-T2WI is faster and is associated with significantly higher self-reported reader confidence as compared to a conventional protocol when assessing inflammatory extraocular muscles.
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Affiliation(s)
- Alexis Ollitrault
- Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, 75019, Paris, France.
| | - Frédérique Charbonneau
- Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, 75019, Paris, France
| | - Marie-Laure Herdan
- Department of Orbitopalpebral Surgery, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, Paris, 75019, France
| | - Olivier Bergès
- Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, 75019, Paris, France
| | - Kevin Zuber
- Department of Clinical Research, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, Paris, 75019, France
| | - Lama Giovansili
- Department of Internal Medicine, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, Paris, 75019, France
| | - Pauline Launay
- Department of Internal Medicine, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, Paris, 75019, France
| | - Julien Savatovsky
- Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, 75019, Paris, France
| | - Augustin Lecler
- Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, 25 rue Manin, 75019, Paris, France
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Wu L, Li L, Liang Y, Chen X, Mou P, Liu G, Sun X, Qin B, Zhang S, Zhao C. Identification of differentially expressed long non-coding RNAs and mRNAs in orbital adipose/connective tissue of thyroid-associated ophthalmopathy. Genomics 2020; 113:440-449. [PMID: 32919017 DOI: 10.1016/j.ygeno.2020.09.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 08/15/2020] [Accepted: 09/03/2020] [Indexed: 02/06/2023]
Abstract
Extracellular matrix remodeling and orbital adipose/connective tissue expansion are two key features of thyroid-associated ophthalmopathy (TAO). Recent studies have indicated the critical role of long non-coding RNAs (lncRNAs) in the pathogenesis of ocular disorders. However, little is known about the roles of lncRNAs in orbital adipose/connective tissue of TAO. In this study, the profiles of lncRNAs and mRNAs in the orbital adipose/connective tissue of TAO were identified by RNA sequencing. A total of 809 differential lncRNAs and 607 differential mRNAs were identified, among which 52 genes were found to be significantly related to the extracellular matrix. Co-expression network analysis suggested that lncRNAs might regulate extracellular matrix remodeling in orbital adipose/connective tissue of TAO. Additionally, the target genes of lncRNAs involved in the lipid metabolism and cytokine-cytokine receptor interaction were also identified. These results may provide potential regulatory mechanisms of lncRNAs in the orbital adipose/connective tissue of TAO.
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Affiliation(s)
- Lianqun Wu
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, 83 Fenyang Road, Shanghai 200031, China; Shanghai Key Laboratory of Visual Impairment and Restoration, 83 Fenyang Road, Shanghai 200031, China
| | - Lei Li
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, 83 Fenyang Road, Shanghai 200031, China; Shanghai Key Laboratory of Visual Impairment and Restoration, 83 Fenyang Road, Shanghai 200031, China
| | - Yu Liang
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, 83 Fenyang Road, Shanghai 200031, China; Shanghai Key Laboratory of Visual Impairment and Restoration, 83 Fenyang Road, Shanghai 200031, China
| | - Xinxin Chen
- Department of Ophthalmology, Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 20003, China
| | - Pei Mou
- Department of Ophthalmology, Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 20003, China
| | - Guohua Liu
- Department of Ophthalmology, Qilu Children's Hospital of Shandong University, 430 Jingshi Road, Jinan 250022, China
| | - Xiantao Sun
- Department of Ophthalmolgoy, Children's Hospital Affiliated of Zhengzhou University, 255 Gangdu Road, Zhengzhou 450053, China
| | - Bing Qin
- Department of Ophthalmolgoy, Suqian First Hospital, 120 Suzhi Road, Suqian 223800, China
| | - Shujie Zhang
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, 83 Fenyang Road, Shanghai 200031, China; Shanghai Key Laboratory of Visual Impairment and Restoration, 83 Fenyang Road, Shanghai 200031, China.
| | - Chen Zhao
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, 83 Fenyang Road, Shanghai 200031, China; Shanghai Key Laboratory of Visual Impairment and Restoration, 83 Fenyang Road, Shanghai 200031, China.
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Mishra S, Maurya VK, Kumar S, Ankita, Kaur A, Saxena SK. Clinical Management and Therapeutic Strategies for the Thyroid-Associated Ophthalmopathy: Current and Future Perspectives. Curr Eye Res 2020; 45:1325-1341. [DOI: 10.1080/02713683.2020.1776331] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Shailja Mishra
- Department of Ophthalmology, King George’s Medical University (KGMU), Lucknow, India
| | - Vimal K Maurya
- Department of Centre of Advanced Research (CFAR), King George’s Medical University (KGMU), Lucknow, India
| | - Swatantra Kumar
- Department of Centre of Advanced Research (CFAR), King George’s Medical University (KGMU), Lucknow, India
| | - Ankita
- Department of Ophthalmology, King George’s Medical University (KGMU), Lucknow, India
| | - Apjit Kaur
- Department of Ophthalmology, King George’s Medical University (KGMU), Lucknow, India
| | - Shailendra K Saxena
- Department of Centre of Advanced Research (CFAR), King George’s Medical University (KGMU), Lucknow, India
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