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Prospective Observational Study of Smartphone-Based AI Self-Monitoring During Non-Surgical Treatment for Thyroid Eye Disease (THYROSCOPE) (THYROSCOPE-TED)

28 de mayo de 2026 actualizado por: THYROSCOPE INC.

Prospective Observational Study of Smartphone-Based Self-Monitoring Using an Artificial Intelligence Solution During Non-Surgical Treatment for Thyroid Eye Disease

This prospective observational study evaluates the feasibility and clinical utility of a smartphone-based artificial intelligence (AI) self-monitoring system in adults with thyroid eye disease (TED) undergoing non-surgical treatment. Eligible participants will use their own smartphones and the study application (Glandy) to perform at least weekly home monitoring consisting of a symptom questionnaire (diplopia, pain on visual analog scale) and a standardized frontal facial photograph. AI-derived outputs (Glandy CAS, Glandy EXO, Glandy LID) obtained at routine clinic visits will be compared with standard clinician assessments (CAS total score, Hertel exophthalmometry, MRD1/MRD2). AI outputs will not be used for real-time clinical decision-making during the study.

Descripción general del estudio

Descripción detallada

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.

Tipo de estudio

De observación

Inscripción (Estimado)

200

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

Ubicaciones de estudio

    • California
      • San Jose, California, Estados Unidos, 95134
        • 3003 North First Street #221
        • Contacto:

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

  • Adulto
  • Adulto Mayor

Acepta Voluntarios Saludables

No

Método de muestreo

Muestra no probabilística

Población de estudio

Adults (≥19 years) with clinically diagnosed TED who are scheduled to initiate active non-surgical treatment at participating ophthalmology sites.

Descripción

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.

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

Cohortes e Intervenciones

Grupo / Cohorte
Intervención / Tratamiento
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.

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:

  • Glandy CAS - CAS-related output derived from periocular signs and symptom input
  • Glandy EXO - image-based exophthalmometric estimate (surrogate of Hertel)
  • Glandy LID - eyelid-related parameters including MRD1/MRD2 equivalents AI outputs are used for research analysis only and are NOT returned to the treating clinician for real-time decision-making during the study.

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Agreement between Glandy CAS and clinician-assessed CAS total score
Periodo de tiempo: At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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.
At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
Agreement between Glandy EXO and Hertel exophthalmometry
Periodo de tiempo: At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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.
At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
Agreement between Glandy LID and clinician-measured MRD1/MRD2
Periodo de tiempo: At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)
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.
At each clinic-matched visit (baseline through end-of-treatment, up to 12 months)

Medidas de resultado secundarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Longitudinal change in AI-derived TED parameters
Periodo de tiempo: Weekly home monitoring from baseline to end-of-treatment (up to 12 months)
Descriptive longitudinal change in Glandy CAS, Glandy EXO, and Glandy LID obtained from serial home-monitoring data during the non-surgical treatment course.
Weekly home monitoring from baseline to end-of-treatment (up to 12 months)
Concordance between AI-derived longitudinal trends and interval clinical change
Periodo de tiempo: From baseline to end-of-treatment (up to 12 months)
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.
From baseline to end-of-treatment (up to 12 months)
Feasibility: adherence to weekly home-based image capture
Periodo de tiempo: Throughout treatment period (up to 12 months)
Proportion of participants performing at least weekly home-based facial image capture using the study application.
Throughout treatment period (up to 12 months)
Feasibility: adherence to symptom reporting
Periodo de tiempo: Throughout treatment period (up to 12 months)
Number and proportion of completed in-app symptom reports (diplopia, VAS pain) relative to expected weekly submissions.
Throughout treatment period (up to 12 months)
Feasibility: completion of clinic-matched assessments
Periodo de tiempo: Throughout treatment period (up to 12 months)
Number and proportion of participants completing ≥2 clinic-matched assessments including baseline and at least one post-baseline assessment.
Throughout treatment period (up to 12 months)
Relationship between patient-reported symptoms and AI-derived measurements
Periodo de tiempo: Throughout treatment period (up to 12 months)
Association between patient-reported diplopia and VAS pain with AI-derived parameters over time, explored descriptively and with regression / mixed-effects models where appropriate.
Throughout treatment period (up to 12 months)
Clinical utility of serial AI-based monitoring between clinic visits
Periodo de tiempo: Throughout treatment period (up to 12 months)
Ability of serial AI-derived monitoring to provide clinically useful adjunctive information regarding early improvement or interval worsening between routine clinic visits (descriptive).
Throughout treatment period (up to 12 months)

Otras medidas de resultado

Medida de resultado
Medida Descripción
Periodo de tiempo
Descriptive analysis of additional image-derived periocular parameters
Periodo de tiempo: Throughout treatment period (up to 12 months)
Ocular surface area (OSA), radial MRD-related parameters, and other eyelid-related image metrics obtained from patient-captured smartphone images.
Throughout treatment period (up to 12 months)
Exploratory AI-derived trend vs. treatment response
Periodo de tiempo: Throughout treatment period (up to 12 months)
Exploratory assessment of whether AI-derived home-monitoring trends reflect treatment response over the course of non-surgical treatment.
Throughout treatment period (up to 12 months)
Real-world image data completeness and analyzability
Periodo de tiempo: Throughout treatment period (up to 12 months)
Descriptive characterization of data completeness and AI-analyzable rate of patient-captured smartphone facial images in a real-world treatment setting.
Throughout treatment period (up to 12 months)

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Patrocinador

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Estimado)

1 de julio de 2026

Finalización primaria (Estimado)

30 de junio de 2027

Finalización del estudio (Estimado)

31 de diciembre de 2027

Fechas de registro del estudio

Enviado por primera vez

18 de abril de 2026

Primero enviado que cumplió con los criterios de control de calidad

28 de mayo de 2026

Publicado por primera vez (Actual)

3 de junio de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

3 de junio de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

28 de mayo de 2026

Última verificación

1 de abril de 2026

Más información

Términos relacionados con este estudio

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

NO

Descripción del plan IPD

The dataset includes patient-captured smartphone facial photographs, which are inherently identifiable biometric data. Public sharing of individual participant data (IPD) would pose a substantial risk of re-identification that cannot be fully mitigated by standard de-identification of tabular variables alone. The informed consent obtained from participants and the IRB-approved protocol do not authorize broad third-party sharing of these facial images or associated individual-level records. In addition, the study is conducted in the Republic of Korea and is subject to the Personal Information Protection Act (PIPA) and the Bioethics and Safety Act, which restrict external transfer of identifiable health and biometric information. For these reasons, individual-level data will not be shared publicly. Reasonable requests for scientifically justified collaborative analyses may be considered on a case-by-case basis, subject to a data-use agreement, sponsor approval, and applicable ethics appr

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

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