Artificial Intelligence-assisted MDS-UPDRS Assessment for Parkinson's Disease
Trial ID: NCT07381751
Status: NOT_YET_RECRUITING
Study type: OBSERVATIONAL
Start date: 2026-03-01
Completion date: 2029-02-28
Sponsor: Hong Kong University of Science and Technology
Collaborators: The Queen Elizabeth Hospital
Conditions: Parkinson Disease
Interventions: Observational
Locations: Hong Kong University of Science and Technology
Countries: China
Enrollment: 500
Age range: 18 Years - 95 Years
Sex: ALL

Summary:
Idiopathic Parkinson's disease (PD) is a neurodegenerative disease that progressively causes both motor and non-motor symptoms. As the second most common neurodegenerative disease and most common movement disorder, it affects over 8.5 million people worldwide and 13,000 people in Hong Kong. The most classical symptoms of PD are resting tremors, rigidity of the muscles, bradykinesia (slowing of movement), and gait difficulty. Other symptoms include sleep disorders, psychiatric symptoms, cognitive impairment, and autonomic dysfunction. Its pathophysiology is marked by the loss of dopaminergic neurons and the accumulation of aggregates called Lewy bodies.

The severity of PD-related motor symptoms is usually semi-quantitatively ("normal", "slight", "mild", "moderate", and "severe") evaluated by expert physicians and physiotherapists according to the Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS III). However, the MDS-UPDRS III is semiquantitative and subjective, which might mask mild treatment effects or even provide false-positive results. Moreover, it takes significant time and effort for assessment with expected inter-observer variations.

To address these issues, various artificial intelligence (AI) technologies and telemedicine approaches have been investigated for patient evaluation. However, previous studies did not incorporate items assessing rigidity and postural stability, which require physical contact as per the MDS-UPDRS III instructions. Zhu et al. explored a motor symptom machine-rating system for the complete MDS-UPDRS III. Nevertheless, they employed a depth camera and conducted the tests within a strictly controlled ideal laboratory environment. For the widespread implementation of AI-assisted rating, the RGB camera is a more accessible alternative.

Eligibility criteria:
Inclusion Criteria:

1. Age ≥18 years
2. Diagnosis of "Clinically Established PD" as defined by the Movement Disorder Society Clinical Diagnostic Criteria for Parkinson's disease (MDS-PD criteria) \[12\]
3. Able to provide informed consent and willing to participate in video-recorded MDS-UPDRS Part III assessments
4. No significant visual, auditory, or musculoskeletal impairments that would interfere with video-based motor assessments

Exclusion Criteria:

1. Unwillingness to be video recorded for study purposes
2. History of neurodevelopmental disorder, neurodegenerative disease other than PD, CNS infection, neuroinflammatory disease (e.g. multiple sclerosis, CNS lupus), malignancy within the last 10 years, cerebrovascular accident, HIV infection, systemic autoimmune disease, alcohol dependence or other substance use

Outcomes:
AI-based motor assessment tool; Feasibility of implementing RGB camera-based assessments