NCT07080307

Artificial Intelligence (AI)-Based Prediction of Treatment Response in Sciatica Patients Receiving Transforaminal Epidural Steroid Injection

Artificial Intelligence-Based Predictive Models for Estimating Treatment Response in Sciatica Patients Treated With Transforaminal Epidural Steroid Injection (TFESI)

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,500 (estimated)
• Sponsor: Marmara University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

This prospective observational study aims to develop artificial intelligence (AI)-based predictive models to estimate treatment response in patients with sciatica undergoing transforaminal epidural steroid injection (TFESI). Approximately 1500 adult patients diagnosed with sciatica and scheduled for TFESI at Marmara University Training and Research Hospital Algology Clinic will be enrolled. Clinical, radiological, laboratory, and psychological data will be systematically collected before the procedure and at multiple follow-up points (1 hour, 3 weeks, 3 months, and 6 months post-treatment). Pain relief, measured by a 50% or greater reduction in the Numeric Rating Scale (NRS), will be the primary outcome. The study will use these comprehensive data sets to train and validate AI algorithms, aiming to create a decision-support system that can predict individual patient responses to TFESI and improve personalized treatment planning.

Conditions

• Sciatica
• Low Back Pain
• Lumbar Spinal Stenosis
• Radiculopathy
• Lumbar Disc Herniation

Timeline

• Start date: 2025-07-01
• Primary completion: 2026-04-01
• Completion: 2026-10-01
• First posted: 2025-07-23
• Last updated: 2025-07-23

Locations

1 site across 1 country: Turkey (Türkiye)