{"title":"视扩散系数直方图评价甲状腺相关性眼病活动性。","authors":"Defu Li, Tingting Zhu, Yujin Wang","doi":"10.1002/iid3.70131","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>This study aimed to evaluate the activity of extraocular muscles (EOMs) in patients with thyroid-associated ophthalmopathy (TAO) using turbo spin echo imaging. By analyzing tissue heterogeneity, apparent diffusion coefficient (ADC) histogram analysis offers enhanced insights into edema within the EOMs.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Eighty-eight patients with TAO were retrospectively evaluated and allocated into active (<i>n</i> = 24, clinical activity score [CAS] ≥ 3) and inactive (<i>n</i> = 64, CAS < 3) groups. The parameter values of the ADC histogram of EOMs were measured; the efficacy of ADC histograms in distinguishing between TAO activity and inactivity was assessed using receiver operating characteristic curves. Multifactorial logistic regression was used to determine active TAO predictors.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The minimum, maximum, median, mean; and 1st, 5th, 10th, 25th, 75th, 90th, 95th, and 99th percentiles of the ADC histograms were higher in patients with active than that in participants with inactive TAO. The area under the curve (AUC) of the 10th percentile of the ADC histogram and the median distinguishing between active and inactive TAOs were both 0.791 (both <i>p</i> < 0.05), and the AUCs of the combined model of age, sex, smoking, and the 10th percentile in the ADC histogram were better than those of their individual models and the combined model of age, sex, and smoking (all <i>p</i> < 0.05). Smoking and male sex, along with the median > 1.26 μm<sup>2</sup>/s, entropy > 4.03, and standard deviation (SD) > 0.4 of the ADC histogram, were significant predictors of TAO activity, with odds ratios of 2.741 and 6.806, 5.070, 2.652, and 2.197, respectively (all <i>p</i> < 0.05).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>ADC histograms provide a new method for distinguishing active from inactive TAO, and the 10th percentile enhances the clinical diagnosis of active TAO. In addition to male sex and smoking, an ADC histogram median > 1.26 μm²/s, entropy > 4.03, or SD > 0.4 may also predict active TAO.</p>\n </section>\n </div>","PeriodicalId":13289,"journal":{"name":"Immunity, Inflammation and Disease","volume":"13 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748203/pdf/","citationCount":"0","resultStr":"{\"title\":\"Histogram of Apparent Diffusion Coefficient to Evaluate the Activity of Thyroid-Associated Ophthalmopathy\",\"authors\":\"Defu Li, Tingting Zhu, Yujin Wang\",\"doi\":\"10.1002/iid3.70131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>This study aimed to evaluate the activity of extraocular muscles (EOMs) in patients with thyroid-associated ophthalmopathy (TAO) using turbo spin echo imaging. By analyzing tissue heterogeneity, apparent diffusion coefficient (ADC) histogram analysis offers enhanced insights into edema within the EOMs.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Eighty-eight patients with TAO were retrospectively evaluated and allocated into active (<i>n</i> = 24, clinical activity score [CAS] ≥ 3) and inactive (<i>n</i> = 64, CAS < 3) groups. The parameter values of the ADC histogram of EOMs were measured; the efficacy of ADC histograms in distinguishing between TAO activity and inactivity was assessed using receiver operating characteristic curves. Multifactorial logistic regression was used to determine active TAO predictors.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The minimum, maximum, median, mean; and 1st, 5th, 10th, 25th, 75th, 90th, 95th, and 99th percentiles of the ADC histograms were higher in patients with active than that in participants with inactive TAO. The area under the curve (AUC) of the 10th percentile of the ADC histogram and the median distinguishing between active and inactive TAOs were both 0.791 (both <i>p</i> < 0.05), and the AUCs of the combined model of age, sex, smoking, and the 10th percentile in the ADC histogram were better than those of their individual models and the combined model of age, sex, and smoking (all <i>p</i> < 0.05). Smoking and male sex, along with the median > 1.26 μm<sup>2</sup>/s, entropy > 4.03, and standard deviation (SD) > 0.4 of the ADC histogram, were significant predictors of TAO activity, with odds ratios of 2.741 and 6.806, 5.070, 2.652, and 2.197, respectively (all <i>p</i> < 0.05).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>ADC histograms provide a new method for distinguishing active from inactive TAO, and the 10th percentile enhances the clinical diagnosis of active TAO. In addition to male sex and smoking, an ADC histogram median > 1.26 μm²/s, entropy > 4.03, or SD > 0.4 may also predict active TAO.</p>\\n </section>\\n </div>\",\"PeriodicalId\":13289,\"journal\":{\"name\":\"Immunity, Inflammation and Disease\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748203/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Immunity, Inflammation and Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/iid3.70131\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Immunity, Inflammation and Disease","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/iid3.70131","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Histogram of Apparent Diffusion Coefficient to Evaluate the Activity of Thyroid-Associated Ophthalmopathy
Objective
This study aimed to evaluate the activity of extraocular muscles (EOMs) in patients with thyroid-associated ophthalmopathy (TAO) using turbo spin echo imaging. By analyzing tissue heterogeneity, apparent diffusion coefficient (ADC) histogram analysis offers enhanced insights into edema within the EOMs.
Methods
Eighty-eight patients with TAO were retrospectively evaluated and allocated into active (n = 24, clinical activity score [CAS] ≥ 3) and inactive (n = 64, CAS < 3) groups. The parameter values of the ADC histogram of EOMs were measured; the efficacy of ADC histograms in distinguishing between TAO activity and inactivity was assessed using receiver operating characteristic curves. Multifactorial logistic regression was used to determine active TAO predictors.
Results
The minimum, maximum, median, mean; and 1st, 5th, 10th, 25th, 75th, 90th, 95th, and 99th percentiles of the ADC histograms were higher in patients with active than that in participants with inactive TAO. The area under the curve (AUC) of the 10th percentile of the ADC histogram and the median distinguishing between active and inactive TAOs were both 0.791 (both p < 0.05), and the AUCs of the combined model of age, sex, smoking, and the 10th percentile in the ADC histogram were better than those of their individual models and the combined model of age, sex, and smoking (all p < 0.05). Smoking and male sex, along with the median > 1.26 μm2/s, entropy > 4.03, and standard deviation (SD) > 0.4 of the ADC histogram, were significant predictors of TAO activity, with odds ratios of 2.741 and 6.806, 5.070, 2.652, and 2.197, respectively (all p < 0.05).
Conclusion
ADC histograms provide a new method for distinguishing active from inactive TAO, and the 10th percentile enhances the clinical diagnosis of active TAO. In addition to male sex and smoking, an ADC histogram median > 1.26 μm²/s, entropy > 4.03, or SD > 0.4 may also predict active TAO.
期刊介绍：
Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including:
• cellular and molecular immunology
• clinical immunology
• allergy
• immunochemistry
• immunogenetics
• immune signalling
• immune development
• imaging
• mathematical modelling
• autoimmunity
• transplantation immunology
• cancer immunology
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