多参数MRI诊断甲状腺功能障碍视神经病变:磁化转移成像的附加价值。

IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jiang Zhou, Quan Yuan, Xiong-Ying Pu, Jin-Ling Lu, Hu Liu, Huan-Huan Chen, Xiao-Quan Xu, Hao Hu, Fei-Yun Wu
{"title":"多参数MRI诊断甲状腺功能障碍视神经病变:磁化转移成像的附加价值。","authors":"Jiang Zhou, Quan Yuan, Xiong-Ying Pu, Jin-Ling Lu, Hu Liu, Huan-Huan Chen, Xiao-Quan Xu, Hao Hu, Fei-Yun Wu","doi":"10.3348/kjr.2024.1188","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the ability of magnetization transfer imaging (MTI) to diagnose dysthyroid optic neuropathy (DON) and to establish the added value of MTI to conventional T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI).</p><p><strong>Materials and methods: </strong>One hundred and forty-nine patients with thyroid-associated ophthalmopathy were included and divided into training (46 eyes with DON and 148 eyes without DON) and validation (20 eyes with DON and 64 eyes without DON) cohorts. The orbital magnetic resonance imaging (MRI) protocols included coronal MTI, fat-suppressed T2WI, and DWI. The minimum, mean, and maximum values of the magnetization transfer ratio (MTR), signal intensity ratio (SIR), apparent diffusion coefficient (ADC) of each optic nerve (ON), and modified muscle index (mMI) of each orbit were calculated and compared between the groups. Multi-variable logistic regression analysis was performed to identify the independent imaging predictors of DON. The performance of each imaging predictor and their combinations using a binary logistic regression model for diagnosing DON was evaluated using receiver operating characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>Eyes with DON exhibited significantly lower MTRs and ADCs of the ON, increased SIRs of the ON, and increased mMI. The MTR<sub>mean</sub> of the ON, ADC<sub>mean</sub> of the ON, and mMI were independent predictors of DON. The multi-variable model incorporating these three variables yielded an area under the ROC curve (AUC) of 0.946 and showed significantly higher diagnostic performance than MTR<sub>mean</sub> (AUC = 0.831), ADC<sub>mean</sub> (AUC = 0.738), or mMI (AUC = 0.862) alone in the training cohort (all <i>P</i> < 0.001). In the validation cohort, the multi-variable model achieved satisfactory diagnostic performance (AUC = 0.926).</p><p><strong>Conclusion: </strong>MTI may be a useful non-invasive technique for diagnosing DON. MTR can provide additional value to conventional DWI in distinguishing patients with DON from those without DON.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiparametric MRI for Diagnosing Dysthyroid Optic Neuropathy: Added Value of Magnetization Transfer Imaging.\",\"authors\":\"Jiang Zhou, Quan Yuan, Xiong-Ying Pu, Jin-Ling Lu, Hu Liu, Huan-Huan Chen, Xiao-Quan Xu, Hao Hu, Fei-Yun Wu\",\"doi\":\"10.3348/kjr.2024.1188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To evaluate the ability of magnetization transfer imaging (MTI) to diagnose dysthyroid optic neuropathy (DON) and to establish the added value of MTI to conventional T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI).</p><p><strong>Materials and methods: </strong>One hundred and forty-nine patients with thyroid-associated ophthalmopathy were included and divided into training (46 eyes with DON and 148 eyes without DON) and validation (20 eyes with DON and 64 eyes without DON) cohorts. The orbital magnetic resonance imaging (MRI) protocols included coronal MTI, fat-suppressed T2WI, and DWI. The minimum, mean, and maximum values of the magnetization transfer ratio (MTR), signal intensity ratio (SIR), apparent diffusion coefficient (ADC) of each optic nerve (ON), and modified muscle index (mMI) of each orbit were calculated and compared between the groups. Multi-variable logistic regression analysis was performed to identify the independent imaging predictors of DON. The performance of each imaging predictor and their combinations using a binary logistic regression model for diagnosing DON was evaluated using receiver operating characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>Eyes with DON exhibited significantly lower MTRs and ADCs of the ON, increased SIRs of the ON, and increased mMI. The MTR<sub>mean</sub> of the ON, ADC<sub>mean</sub> of the ON, and mMI were independent predictors of DON. The multi-variable model incorporating these three variables yielded an area under the ROC curve (AUC) of 0.946 and showed significantly higher diagnostic performance than MTR<sub>mean</sub> (AUC = 0.831), ADC<sub>mean</sub> (AUC = 0.738), or mMI (AUC = 0.862) alone in the training cohort (all <i>P</i> < 0.001). In the validation cohort, the multi-variable model achieved satisfactory diagnostic performance (AUC = 0.926).</p><p><strong>Conclusion: </strong>MTI may be a useful non-invasive technique for diagnosing DON. MTR can provide additional value to conventional DWI in distinguishing patients with DON from those without DON.</p>\",\"PeriodicalId\":17881,\"journal\":{\"name\":\"Korean Journal of Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Korean Journal of Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3348/kjr.2024.1188\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Journal of Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3348/kjr.2024.1188","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

摘要

目的:评价磁化转移成像(MTI)对甲状腺功能障碍视神经病变(DON)的诊断价值,探讨MTI对常规t2加权成像(T2WI)和弥散加权成像(DWI)的附加价值。材料与方法:纳入149例甲状腺相关性眼病患者,分为训练组(有DON 46眼,无DON 148眼)和验证组(有DON 20眼,无DON 64眼)。眼眶磁共振成像(MRI)方案包括冠状面MTI、脂肪抑制T2WI和DWI。计算各组间各视神经磁化传递比(MTR)、信号强度比(SIR)、视神经表观扩散系数(ADC)及眼眶修正肌指数(mMI)的最小值、平均值和最大值,并进行比较。采用多变量logistic回归分析确定DON的独立影像学预测因素。采用二元logistic回归模型对各影像学预测指标及其组合诊断DON的表现进行评估,采用受试者工作特征(ROC)曲线分析。结果:DON组眼的MTRs和adc显著降低,SIRs显著升高,mMI显著升高。ON的MTRmean、ON的ADCmean和mMI是DON的独立预测因子。合并这三个变量的多变量模型的ROC曲线下面积(AUC)为0.946,在训练队列中,其诊断效能显著高于单独使用MTRmean (AUC = 0.831)、ADCmean (AUC = 0.738)或mMI (AUC = 0.862)(均P < 0.001)。在验证队列中,多变量模型取得了满意的诊断效果(AUC = 0.926)。结论:MTI可作为诊断DON的一种无创技术。在鉴别DON患者和非DON患者方面,MTR可以提供常规DWI的附加价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiparametric MRI for Diagnosing Dysthyroid Optic Neuropathy: Added Value of Magnetization Transfer Imaging.

Objective: To evaluate the ability of magnetization transfer imaging (MTI) to diagnose dysthyroid optic neuropathy (DON) and to establish the added value of MTI to conventional T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI).

Materials and methods: One hundred and forty-nine patients with thyroid-associated ophthalmopathy were included and divided into training (46 eyes with DON and 148 eyes without DON) and validation (20 eyes with DON and 64 eyes without DON) cohorts. The orbital magnetic resonance imaging (MRI) protocols included coronal MTI, fat-suppressed T2WI, and DWI. The minimum, mean, and maximum values of the magnetization transfer ratio (MTR), signal intensity ratio (SIR), apparent diffusion coefficient (ADC) of each optic nerve (ON), and modified muscle index (mMI) of each orbit were calculated and compared between the groups. Multi-variable logistic regression analysis was performed to identify the independent imaging predictors of DON. The performance of each imaging predictor and their combinations using a binary logistic regression model for diagnosing DON was evaluated using receiver operating characteristic (ROC) curve analysis.

Results: Eyes with DON exhibited significantly lower MTRs and ADCs of the ON, increased SIRs of the ON, and increased mMI. The MTRmean of the ON, ADCmean of the ON, and mMI were independent predictors of DON. The multi-variable model incorporating these three variables yielded an area under the ROC curve (AUC) of 0.946 and showed significantly higher diagnostic performance than MTRmean (AUC = 0.831), ADCmean (AUC = 0.738), or mMI (AUC = 0.862) alone in the training cohort (all P < 0.001). In the validation cohort, the multi-variable model achieved satisfactory diagnostic performance (AUC = 0.926).

Conclusion: MTI may be a useful non-invasive technique for diagnosing DON. MTR can provide additional value to conventional DWI in distinguishing patients with DON from those without DON.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Korean Journal of Radiology
Korean Journal of Radiology 医学-核医学
CiteScore
10.60
自引率
12.50%
发文量
141
审稿时长
1.3 months
期刊介绍: The inaugural issue of the Korean J Radiol came out in March 2000. Our journal aims to produce and propagate knowledge on radiologic imaging and related sciences. A unique feature of the articles published in the Journal will be their reflection of global trends in radiology combined with an East-Asian perspective. Geographic differences in disease prevalence will be reflected in the contents of papers, and this will serve to enrich our body of knowledge. World''s outstanding radiologists from many countries are serving as editorial board of our journal.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信