NCT05426980

Artificial Intelligence in Predicting Progression in Multiple Sclerosis Study

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 654 (actual)
• Sponsor: University of Ljubljana · Academic / Other
• Sex: All
• Age: 18 Years – 65 Years
• Healthy volunteers: Accepted

Summary

The study proposal focuses on multiple sclerosis (MS), a chronic incurable disease of the central nervous system (CNS). The MS disease is characterised by recurrent transient disability progression, quantified by increase in the extended disability status score (EDSS), and subsequent remission (disappearance of symptoms and reduced EDSS score) or, alternatively, a gradual EDSS disability progression and exacerbation of associated symptoms. At the same time, the MS is characterised by multifocal inflammatory lesions disseminated throughout the white and grey matter of the CNS, which can be observed and quantified in the magnetic resonance (MR) scans. The proposed study will address the critical unmet need of computer-assisted extraction and assessment of prognostic factors based from an individual patient's brain MR scan, such as lesion count, volume, whole-brain and regional brain atrophy, and atrophied lesion volume, in order to evaluate the capability for personalized future disability progression prediction.

Conditions

• Multiple Sclerosis
• Multiple Sclerosis Lesion
• Multiple Sclerosis Brain Lesion

Timeline

• Start date: 2021-12-13
• Primary completion: 2023-09-30
• Completion: 2023-09-30
• First posted: 2022-06-22
• Last updated: 2023-12-05

Locations

4 sites across 1 country: Slovenia