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Screening, Classification, and Outcome Prediction Ensemble Using Orbital MRI for Thyroid Eye Disease: The TED SCOPE National Multicenter Registry Study (TED-SCOPE-MR)

2026年7月20日 更新者:Tuo Li, MD、Shanghai Changzheng Hospital

Construction and Optimization of a Multimodal Orbital MRI-AI Model and Its Application in Thyroid Eye Disease: A National Multicenter Registry Study

The goal of this observational study is to prospectively validate the efficacy of an AI multimodal model constructed based on multi - sequence orbital MRI in the diagnosis, activity and severity assessment, and prognosis prediction of thyroid - associated ophthalmopathy (TAO) in real - world clinical scenarios. The main questions it aims to answer are:

Can AI models accurately assess the presence, activity, and severity of Thyroid-Associated Orbitopathy (TAO)? Can AI models predict the prognosis of TAO? Researchers will compare the diagnostic accuracy of the AI model for TAO patients and healthy subjects to evaluate its diagnostic performance.

Participants will undergo a standardized, study - specific multimodal orbital MRI scan (sequences include T1WI, T2WI, STIR, and research sequences such as Magic, IDEAL - IQ, DWI, ASL, CEST). And will systematically acquire ocular ultrasound images from TED patients (active and inactive stages), non-TED ophthalmic disease controls, and healthy volunteers. AI-driven deep learning techniques (convolutional neural networks) will be applied to achieve automatic segmentation of key structures (extraocular muscles, optic nerve, lacrimal gland, and retrobulbar soft tissue). High-throughput radiomic features encompassing morphological parameters and gray-level texture patterns will be extracted. Machine learning algorithms will then be employed to construct objective prediction models for TED screening and activity staging, with MRI findings and CAS scores serving as the reference standards for external validation.

研究概览

研究类型

观察性的

注册 (估计的)

1200

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习联系方式

学习地点

    • Huangpu District
      • Shanghai、Huangpu District、中国、200003
        • 招聘中
        • Shanghai Changzheng Hospital
        • 首席研究员:
          • Tuo Li, MD
        • 首席研究员:
          • Yongquan Shi, MD
        • 接触:
        • 接触:
        • 副研究员:
          • Jian Zhou, MD
        • 副研究员:
          • Weiyi Zhou, MD
        • 副研究员:
          • Jingmin Feng, MD
        • 副研究员:
          • Xiaoyun Feng, MD
        • 副研究员:
          • Lianqun Wu, MD

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 成人
  • 年长者

接受健康志愿者

是的

取样方法

非概率样本

研究人群

Before initiating the corresponding procedures for the study, all subjects must personally sign the informed consent form approved by the Independent Ethics Committee (IEC)/Institutional Review Board (IRB) and indicate the date.

描述

Inclusion Criteria:

  • TAO patient group

    • Age between 18 and 75 years old, regardless of gender.

      • Patients with thyroid eye disease who meet the disease staging and grading criteria specified in diagnostic guidelines such as those of Bartley, CAS, and EUGOGO.

        • The patient has planned or received thyroid-related treatment, and the condition is relatively stable.

          • Voluntarily participate in this study and sign the informed consent form.

Control group:

① Healthy volunteers matched with the TAO group in terms of age and gender.

② Voluntarily participate in this study and sign the informed consent form.

Exclusion Criteria:

  • TAO patient group:

    • Pregnant or lactating women.

      • Patients with other orbital lesions.

        ③ Having contraindications for MRI examination (such as non - compatible metal implants in the body, claustrophobia, etc.).

        ④ The patient has previously received orbital radiotherapy or orbital surgery (except for patients who need to collect tissue specimens).

        ⑤ Comorbid with other severe systemic diseases (such as uncontrolled heart failure, liver and kidney failure) or mental illnesses, and unable to cooperate to complete the study.

        ⑥ Participated in other clinical trials that may interfere with the results of this study within 3 months.

Control group:

Same as the exclusion criteria 1 - 6 for the TAO patient group

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
干预/治疗
TAO
Participants with Thyroid Associated Ophthalmopathy
Participants will undergo a standardized, study - specific multimodal orbital MRI scan (sequences include T1WI, T2WI, STIR, and research sequences such as Magic, IDEAL - IQ, DWI, ASL, CEST).
Normal
healthy individuals without thyroid-associated ophthalmopathy
Participants will undergo a standardized, study - specific multimodal orbital MRI scan (sequences include T1WI, T2WI, STIR, and research sequences such as Magic, IDEAL - IQ, DWI, ASL, CEST).

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Diagnostic accuracy (AUC) of the AI model for TED
大体时间:From enrollment to the end of follow-up at 18 months
using comprehensive clinical diagnosis (Bartley criteria) as the gold standard.
From enrollment to the end of follow-up at 18 months
Classification accuracy of the AI model for distinguishing active versus inactive TED
大体时间:From enrollment to the end of follow-up at 18 months
From enrollment to the end of follow-up at 18 months
Classification accuracy of the AI model for distinguishing mild versus moderate to severe TED
大体时间:From enrollment to the end of follow-up at 18 months
From enrollment to the end of follow-up at 18 months

次要结果测量

结果测量
大体时间
Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the AI model.
大体时间:From enrollment to the end of follow-up at 18 months
From enrollment to the end of follow-up at 18 months
Inter-observer agreement (Kappa coefficient) between the AI model and clinical experts.
大体时间:From enrollment to the end of follow-up at 18 months
From enrollment to the end of follow-up at 18 months
Correlation (Pearson/Spearman correlation) between imaging features and pathological indicators .
大体时间:From enrollment to the end of follow-up at 18 months
From enrollment to the end of follow-up at 18 months
Predictive performance of the AI model for treatment response, assessed by comparing baseline and follow-up ultrasound data.
大体时间:From enrollment to the end of follow-up at 18 months
From enrollment to the end of follow-up at 18 months

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2026年1月1日

初级完成 (估计的)

2028年12月31日

研究完成 (估计的)

2028年12月31日

研究注册日期

首次提交

2026年5月23日

首先提交符合 QC 标准的

2026年7月20日

首次发布 (实际的)

2026年7月21日

研究记录更新

最后更新发布 (实际的)

2026年7月21日

上次提交的符合 QC 标准的更新

2026年7月20日

最后验证

2026年7月1日

更多信息

与本研究相关的术语

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

未定

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

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