Evidence map›Paper›PMID 40488887›Full record

ArticleEuropean radiology2025

Rapid multiparametric quantitative MRI for predicting the activity of thyroid-associated ophthalmopathy: combination with clinical characteristics.

YunMeng Wang, YuanYuan Cui, YuXin Cheng, WeiYi Zhou, Xin Chen, QinLing Jiang, QingQing Wen, Song Jiang, Yan Song, XinYi Wan and 4 more

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. IntegratedEuropean journal of nuclear medicine and molecular imaging · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

YunMeng Wang *Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
YuanYuan Cui *Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
YuXin ChengDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
WeiYi ZhouDepartment of Endocrinology, Changzheng Hospital, Shanghai, China.
Xin ChenDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
QinLing JiangDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
QingQing WenGE Healthcare, Beijing, China.
Song JiangDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
Yan SongDepartment of Endocrinology, Changzheng Hospital, Shanghai, China.
XinYi WanDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
MeiLing XuDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
JianKun DaiGE Healthcare, Beijing, China. daijiankun881122@163.com.
Tuo LiDepartment of Endocrinology, Changzheng Hospital, Shanghai, China. dr.lituo@smmu.edu.cn.
Yi XiaoDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China. czyyxiaoyi@163.com.ORCID http://orcid.org/0000-0001-6758-3763

Funding

Bengbu Medical University Postgraduate Research and Innovation Programmer Project NO. Byycx23036National Key Research and Development Program of China No. 2022YFC2410000 & NO. 2022YFC2410002National Natural Science and Foundation of China NO. 82170858National Natural Science Foundation of China NO. 82271994Navy Medical University teaching achievement cultivation project No. JPY2022B15Shanghai Changzheng Hospital teaching achievement cultivation project No. JXPY2021B10the Military Commission health care special project NO. 22BJZ07the National Health Commission capacity building and continuing Education center No. YXFSC2022JJSJ010the Shanghai Hospital Development Center NO. SHDC22022310-B
6 · The paper itself

Abstract

objectivesTo explore the feasibility of synthetic MRI (syMRI), one kind of rapid multiparametric quantitative MRI, and assess the predictive value of combining the syMRI parameters with clinical features for predicting the activity of thyroid-associated ophthalmopathy (TAO). MATERIALS AND

methodsClinical data and syMRI images were prospectively collected from 136 patients with TAO (72 active and 64 inactive) and 30 healthy controls. Two radiologists outlined the extraocular muscles (EOMs), orbital fat, and lacrimal glands. The clinical features and imaging parameters were compared between groups. Logistic regression analysis was used to evaluate independent risk factors of active TAO patients and establish a predictive model.

resultsActive TAO patients had significantly higher T1 relaxation time (T1RT), T2 relaxation time (T2RT), and monocyte (MONO), but significantly lower high-density lipoprotein (HDL) than inactive TAO patients (p < 0.05). Multivariate logistic regression analysis identified T1RT (OR: 1.003, p < 0.001), T2RT (OR: 1.102, p < 0.001) and HDL (OR: 0.222, p = 0.025) as independent predictors of TAO activity. Combining HDL with the T1RT and T2RT from syMRI yielded the best performance in predicting patients with active TAO (AUC: 0.884), with the sensitivity, specificity, and accuracy of 80.56%, 85.71%, and 82.35%. Second, the combination of T1RT and T2RT achieved predictive performance (AUC: 0.872), followed by T1RT (AUC: 0.804) and T2RT (AUC: 0.800), and lastly HDL (AUC: 0.636).

conclusionsThe T1RT and T2RT based on syMRI can assist in predicting TAO activity. The integration of imaging parameters from syMRI with clinical features further enhances predictive performance. KEY POINTS: Question The therapy for thyroid-associated ophthalmopathy (TAO) is activity-dependent. Nevertheless, clinical evaluation has shortcomings, and synthetic MRI (syMRI) can provide a quantitative foundation for assessing it. Findings T1 relaxation time (T1RT) and T2 relaxation time (T2RT) based on syMRI can effectively predict TAO activity, and the combination of them improves prediction performance. Clinical relevance The combination of T1RT and T2RT based on syMRI with clinical indicators can comprehensively assess the activity of TAO, thereby facilitating accurate and timely selection of treatments in clinical practice.

Indexed as

Graves OphthalmopathyMagnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesSensitivity and SpecificityClinical featuresExtraocular muscleMagnetic resonance imagingQuantitative technologyThyroid-associated ophthalmopathy

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.