- ICH GCP
- Registro degli studi clinici negli Stati Uniti
- Sperimentazione clinica NCT07716397
Screening, Classification, and Outcome Prediction Ensemble Using Orbital MRI for Thyroid Eye Disease: The TED SCOPE National Multicenter Registry Study (TED-SCOPE-MR)
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.
Panoramica dello studio
Stato
Intervento / Trattamento
Tipo di studio
Iscrizione (Stimato)
Contatti e Sedi
Contatto studio
- Nome: Tuo Li, Vice Professor
- Numero di telefono: +86-13918507887
- Email: zoe_leeto@hotmail.com
Luoghi di studio
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Huangpu District
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Shanghai, Huangpu District, Cina, 200003
- Reclutamento
- Shanghai Changzheng Hospital
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Investigatore principale:
- Tuo Li, MD
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Investigatore principale:
- Yongquan Shi, MD
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Contatto:
- Tuo Li, MD
- Numero di telefono: +86-13918507887
- Email: zoe_leeto@hotmail.com
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Contatto:
- Wei-yi Zhou, MD
- Numero di telefono: +86-18689756502
- Email: weiyizhou@smmu.edu.cn
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Sub-investigatore:
- Jian Zhou, MD
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Sub-investigatore:
- Weiyi Zhou, MD
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Sub-investigatore:
- Jingmin Feng, MD
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Sub-investigatore:
- Xiaoyun Feng, MD
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Sub-investigatore:
- Lianqun Wu, MD
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Criteri di partecipazione
Criteri di ammissibilità
Età idonea allo studio
- Adulto
- Adulto più anziano
Accetta volontari sani
Metodo di campionamento
Popolazione di studio
Descrizione
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
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
Coorti e interventi
Gruppo / Coorte |
Intervento / Trattamento |
|---|---|
|
TAO
Participants with Thyroid Associated Ophthalmopathy
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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).
|
Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Diagnostic accuracy (AUC) of the AI model for TED
Lasso di tempo: From enrollment to the end of follow-up at 18 months
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using comprehensive clinical diagnosis (Bartley criteria) as the gold standard.
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From enrollment to the end of follow-up at 18 months
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Classification accuracy of the AI model for distinguishing active versus inactive TED
Lasso di tempo: From enrollment to the end of follow-up at 18 months
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From enrollment to the end of follow-up at 18 months
|
|
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Classification accuracy of the AI model for distinguishing mild versus moderate to severe TED
Lasso di tempo: From enrollment to the end of follow-up at 18 months
|
From enrollment to the end of follow-up at 18 months
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Misure di risultato secondarie
Misura del risultato |
Lasso di tempo |
|---|---|
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Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the AI model.
Lasso di tempo: From enrollment to the end of follow-up at 18 months
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From enrollment to the end of follow-up at 18 months
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Inter-observer agreement (Kappa coefficient) between the AI model and clinical experts.
Lasso di tempo: From enrollment to the end of follow-up at 18 months
|
From enrollment to the end of follow-up at 18 months
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Correlation (Pearson/Spearman correlation) between imaging features and pathological indicators .
Lasso di tempo: From enrollment to the end of follow-up at 18 months
|
From enrollment to the end of follow-up at 18 months
|
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Predictive performance of the AI model for treatment response, assessed by comparing baseline and follow-up ultrasound data.
Lasso di tempo: From enrollment to the end of follow-up at 18 months
|
From enrollment to the end of follow-up at 18 months
|
Collaboratori e investigatori
Sponsor
Studiare le date dei record
Studia le date principali
Inizio studio (Effettivo)
Completamento primario (Stimato)
Completamento dello studio (Stimato)
Date di iscrizione allo studio
Primo inviato
Primo inviato che soddisfa i criteri di controllo qualità
Primo Inserito (Effettivo)
Aggiornamenti dei record di studio
Ultimo aggiornamento pubblicato (Effettivo)
Ultimo aggiornamento inviato che soddisfa i criteri QC
Ultimo verificato
Maggiori informazioni
Termini relativi a questo studio
Parole chiave
Termini MeSH pertinenti aggiuntivi
- Malattie del sistema endocrino
- Malattie genetiche, congenite
- Malattie autoimmuni
- Malattie del sistema immunitario
- Malattie degli occhi
- Malattie degli occhi, ereditarie
- Esoftalmo
- Malattie orbitali
- Gozzo
- Ipertiroidismo
- Malattie della tiroide
- Malattie e anomalie congenite, ereditarie e neonatali
- Oftalmopatia di Graves
- Malattia di Graves
Altri numeri di identificazione dello studio
- TED-SCOPE-MR
Piano per i dati dei singoli partecipanti (IPD)
Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?
Informazioni su farmaci e dispositivi, documenti di studio
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Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .
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