Cross-Sectional Study for an Ocular Imaging-Based Predictive Model of Inflammatory Skin Diseases Grounded in Traditional Chinese Medicine

Sponsor
Shanghai Yueyang Integrated Medicine Hospital
Study ID
NCT07434076
Status
Not Yet Recruiting

Notify me when recruiting opens

Save your spot on the interest list for this study. We'll keep your details with this study so our team can follow up when recruiting opens.

Not yet recruiting

Add your contact details and location so we can keep your interest tied to this study.

Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 65 Years
Healthy Volunteers
Accepted

Interventions

  • Questionnaire collection — OTHER
    During the study visit investigators will conduct face-to-face interviews and collect the questionnaire data, with confirmation from family members where appropriate.

Study Details

This study is a cross-sectional, observational investigation designed to develop and validate a noninvasive ocular imaging-based predictive model for major inflammatory skin diseases, including psoriasis, atopic dermatitis, and urticaria. Grounded in Traditional Chinese Medicine (TCM) ocular diagnostic theory and integrated with advanced computer vision techniques, the study aims to establish objective, quantifiable biomarkers derived from scleral and bulbar conjunctival images. Approximately 950 participants (patients with psoriasis, atopic dermatitis, urticaria, and healthy controls) will be recruited from a tertiary academic hospital. Standardized high-resolution ocular images will be collected alongside comprehensive clinical, demographic, and comorbidity data. Disease severity will be assessed using validated clinical scoring systems (e.g., PASI, EASI, UAS7, DLQI). Image analysis will combine traditional radiomics feature extraction with deep learning architectures, including a Vision State-Space (VMamba) module for global-local feature representation and a Multi-Gate Mixture-of-Experts (MMoE) framework for multi-task learning. The model is designed to simultaneously perform disease classification and predict comorbidity risks (such as metabolic syndrome, hepatic insulin resistance, and recurrence risk). Primary outcomes include characterization of ocular feature patterns associated with inflammatory skin diseases. Secondary outcomes include correlations between ocular image-derived features and clinical severity indices. Model performance will be evaluated using ROC curves, AUC, calibration analysis, and decision curve analysis. This study aims to provide an objective, digitalized, and clinically applicable ocular biomarker framework to support early diagnosis, risk stratification, and comorbidity screening in inflammatory skin diseases.

Key Dates

First listed
Feb 25, 2026
Start date
Mar 5, 2026
Status verified
Feb 2026
Primary completion
Mar 5, 2028
Completion
May 25, 2028

Study Design

Enrollment
950 participants (estimated)

Arms

  • Arm: Psoriasis subjects
  • Arm: Atopic dermatitis subjects
  • Arm: Urticaria subjects
  • Arm: Healthy controls

Primary Outcome Measure

A TCM ocular diagnostic feature spectrum [ Time Frame: 2026.03.05-2028.03.05 ]

Central Contacts

Find similar trials

Nationwide
Atopic dermatitis / eczema trialsPsoriasis trialsDermatology trialsRheumatology trialsAutoimmune disease trials

Related Studies