- ICH GCP
- Registr klinických studií v USA
- Klinická studie NCT07623993
Prospective Observational Study of Smartphone-Based AI Self-Monitoring During Non-Surgical Treatment for Thyroid Eye Disease (THYROSCOPE) (THYROSCOPE-TED)
Prospective Observational Study of Smartphone-Based Self-Monitoring Using an Artificial Intelligence Solution During Non-Surgical Treatment for Thyroid Eye Disease
Přehled studie
Postavení
Podmínky
Detailní popis
Thyroid eye disease (TED) is an autoimmune inflammatory disorder most commonly associated with Graves' disease. Clinical manifestations include conjunctival injection, eyelid swelling, eyelid retraction, proptosis, diplopia, and altered ocular appearance. TED typically progresses through an active inflammatory phase of approximately 6-12 months before transitioning to a relatively inactive phase, although interval worsening may occur. Because treatment response can change dynamically, timely assessment of disease activity and severity is important for monitoring.
In current practice, TED activity and severity are primarily assessed during in-person visits using the Clinical Activity Score (CAS), Hertel exophthalmometry, and eyelid measurements (MRD1/MRD2). These assessments are episodic and may not capture interval change between visits.
Recent advances in AI have enabled image-based quantification of TED-related features from facial or periocular photographs. The AI-based monitoring system evaluated here has three analytic components: Glandy CAS (CAS-related outputs from photographs + symptom input), Glandy EXO (image-based exophthalmometric estimate), and Glandy LID (eyelid-related parameters including MRD measurements).
This prospective observational study will enroll approximately 200 adults with TED scheduled to initiate non-surgical treatment (intravenous methylprednisolone, oral corticosteroids, radiotherapy, or biologic therapy). Participants will perform at least weekly home-based self-monitoring (symptom entry + standardized frontal facial image) using their own smartphones and the study application. Baseline and end-of-treatment data will be required. At routine clinic visits, app-based image capture and symptom entry will also be performed to create clinic-matched assessments; AI-derived outputs will be compared with clinician-assessed TED parameters obtained the same day. At least two clinic-matched assessments per participant will be required for longitudinal evaluation. AI-generated outputs will not be used for real-time clinical decision-making.
Typ studie
Zápis (Odhadovaný)
Kontakty a umístění
Studijní kontakt
- Jméno: Jaemin Park
- Telefonní číslo: +82 52-264-4154
- E-mail: jaemin.park@thyroscope.com
Studijní místa
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California
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San Jose, California, Spojené státy, 95134
- 3003 North First Street #221
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Kontakt:
- Jaemin Park CEO
- Telefonní číslo: +82-52-264-4154
- E-mail: jaemin.park@thyroscope.com
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Kritéria účasti
Kritéria způsobilosti
Věk způsobilý ke studiu
- Dospělý
- Starší dospělý
Přijímá zdravé dobrovolníky
Metoda odběru vzorků
Studijní populace
Popis
Inclusion Criteria:
- Adults aged 19 years or older with a clinical diagnosis of thyroid eye disease (TED).
- Patients with TED scheduled to initiate active non-surgical treatment, including but not limited to intravenous methylprednisolone, oral corticosteroids, radiotherapy, or biologic therapy.
- Able to undergo baseline clinical assessment prior to initiation of the planned treatment course and expected routine follow-up evaluation during treatment, including an end-of-treatment assessment.
- Able and willing to use their own smartphone to complete the study application-guided symptom questionnaire and capture standardized frontal facial images throughout the study period.
- Willing to perform at least weekly home-based image capture and symptom reporting during the treatment course.
- Able to participate in routine in-person follow-up visits and expected to provide at least two clinic-matched assessments, including baseline and at least one post-baseline assessment.
- Voluntarily provides written informed consent to participate in the study.
Exclusion Criteria:
- Severe eyelid deformities, facial deformities, or other facial/periocular conditions that may interfere with standardized image acquisition or reliable AI-based image analysis.
- Unable to use the study application or smartphone-based image capture procedure adequately for protocol-required self-monitoring.
- Undergoing or planning to undergo surgical treatment for TED as the primary treatment modality during the study period.
- History of ocular, eyelid, or orbital surgery within 3 months prior to enrollment.
- Any medical, psychiatric, cognitive, or other condition that, in the investigator's judgment, may compromise protocol compliance, study participation, or data integrity.
- Any other condition that the investigator judges to make the patient inappropriate for participation.
Studijní plán
Jak je studie koncipována?
Detaily designu
Kohorty a intervence
Skupina / kohorta |
Intervence / Léčba |
|---|---|
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TED - Non-surgical treatment cohort
Adults with TED initiating non-surgical treatment who perform smartphone-based self-monitoring (weekly symptom entry + facial image capture) during the treatment course, with clinic-matched assessments at routine visits.
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A smartphone application through which participants complete a symptom questionnaire (diplopia; pain by visual analog scale) and capture a standardized frontal facial photograph at least weekly during the treatment course, and additionally at each routine clinic visit. Submitted images are transmitted to a central analysis system for AI-based processing that generates three analytic outputs:
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Co je měření studie?
Primární výstupní opatření
Měření výsledku |
Popis opatření |
Časové okno |
|---|---|---|
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Agreement between Glandy CAS and clinician-assessed CAS total score
Časové okno: At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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Agreement between AI-derived Clinical Activity Score (Glandy CAS) and clinician-assessed CAS total score at clinic-matched visits, using intraclass correlation coefficient (ICC), correlation analysis, and Bland-Altman analysis.
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At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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Agreement between Glandy EXO and Hertel exophthalmometry
Časové okno: At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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Agreement between AI-derived image-based exophthalmometric estimate (Glandy EXO, mm) and clinician-measured Hertel exophthalmometry absolute value (mm) at clinic-matched visits, using ICC, correlation, and Bland-Altman analysis.
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At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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Agreement between Glandy LID and clinician-measured MRD1/MRD2
Časové okno: At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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Agreement between AI-derived eyelid parameters (Glandy LID: MRD1 and MRD2 equivalents, mm) and clinician-measured MRD1 and MRD2 (mm) at clinic-matched visits, using ICC, correlation, and Bland-Altman analysis.
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At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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Sekundární výstupní opatření
Měření výsledku |
Popis opatření |
Časové okno |
|---|---|---|
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Longitudinal change in AI-derived TED parameters
Časové okno: Weekly home monitoring from baseline to end-of-treatment (up to 12 months)
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Descriptive longitudinal change in Glandy CAS, Glandy EXO, and Glandy LID obtained from serial home-monitoring data during the non-surgical treatment course.
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Weekly home monitoring from baseline to end-of-treatment (up to 12 months)
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Concordance between AI-derived longitudinal trends and interval clinical change
Časové okno: From baseline to end-of-treatment (up to 12 months)
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Concordance between longitudinal AI-derived parameter trends and interval clinical change observed at routine follow-up, analyzed with descriptive paired comparisons and repeated-measures / mixed-effects approaches as appropriate.
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From baseline to end-of-treatment (up to 12 months)
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Feasibility: adherence to weekly home-based image capture
Časové okno: Throughout treatment period (up to 12 months)
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Proportion of participants performing at least weekly home-based facial image capture using the study application.
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Throughout treatment period (up to 12 months)
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Feasibility: adherence to symptom reporting
Časové okno: Throughout treatment period (up to 12 months)
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Number and proportion of completed in-app symptom reports (diplopia, VAS pain) relative to expected weekly submissions.
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Throughout treatment period (up to 12 months)
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Feasibility: completion of clinic-matched assessments
Časové okno: Throughout treatment period (up to 12 months)
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Number and proportion of participants completing ≥2 clinic-matched assessments including baseline and at least one post-baseline assessment.
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Throughout treatment period (up to 12 months)
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Relationship between patient-reported symptoms and AI-derived measurements
Časové okno: Throughout treatment period (up to 12 months)
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Association between patient-reported diplopia and VAS pain with AI-derived parameters over time, explored descriptively and with regression / mixed-effects models where appropriate.
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Throughout treatment period (up to 12 months)
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Clinical utility of serial AI-based monitoring between clinic visits
Časové okno: Throughout treatment period (up to 12 months)
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Ability of serial AI-derived monitoring to provide clinically useful adjunctive information regarding early improvement or interval worsening between routine clinic visits (descriptive).
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Throughout treatment period (up to 12 months)
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Další výstupní opatření
Měření výsledku |
Popis opatření |
Časové okno |
|---|---|---|
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Descriptive analysis of additional image-derived periocular parameters
Časové okno: Throughout treatment period (up to 12 months)
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Ocular surface area (OSA), radial MRD-related parameters, and other eyelid-related image metrics obtained from patient-captured smartphone images.
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Throughout treatment period (up to 12 months)
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Exploratory AI-derived trend vs. treatment response
Časové okno: Throughout treatment period (up to 12 months)
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Exploratory assessment of whether AI-derived home-monitoring trends reflect treatment response over the course of non-surgical treatment.
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Throughout treatment period (up to 12 months)
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Real-world image data completeness and analyzability
Časové okno: Throughout treatment period (up to 12 months)
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Descriptive characterization of data completeness and AI-analyzable rate of patient-captured smartphone facial images in a real-world treatment setting.
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Throughout treatment period (up to 12 months)
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Spolupracovníci a vyšetřovatelé
Sponzor
Termíny studijních záznamů
Hlavní termíny studia
Začátek studia (Odhadovaný)
Primární dokončení (Odhadovaný)
Dokončení studie (Odhadovaný)
Termíny zápisu do studia
První předloženo
První předloženo, které splnilo kritéria kontroly kvality
První zveřejněno (Aktuální)
Aktualizace studijních záznamů
Poslední zveřejněná aktualizace (Aktuální)
Odeslaná poslední aktualizace, která splnila kritéria kontroly kvality
Naposledy ověřeno
Více informací
Termíny související s touto studií
Klíčová slova
Další relevantní podmínky MeSH
- Onemocnění endokrinního systému
- Genetické choroby, vrozené
- Autoimunitní onemocnění
- Onemocnění imunitního systému
- Oční nemoci
- Oční choroby, dědičné
- Gravesova nemoc
- Exoftalmus
- Orbitální onemocnění
- Struma
- Hypertyreóza
- Onemocnění štítné žlázy
- Vrozené, dědičné a neonatální nemoci a abnormality
- Gravesova oftalmopatie
Další identifikační čísla studie
- THYROSCOPE-TED-2026-01
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