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

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.

NCT Number	NCT07080307
Lead Sponsor	Marmara University
Conditions	Sciatica, Low Back Pain, Lumbar Spinal Stenosis, Radiculopathy, Lumbar Disc Herniation
Enrollment	1,500 participants
Start Date	2025-07
Primary Completion	2026-04 (estimated)
Study Completion	2026-10 (estimated)
Updated on ClinicalTrials.gov	2025-07-23