Related Experiment Video
Updated: Jun 30, 2026

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
Published on: February 10, 2011
Impact of Spinal Canal Anatomy on Pain Outcomes in Spinal Cord Stimulation Therapy for Chronic Pain
Guy S Dunetz1, Ely Feffer Barak2, Luis Vargas1
1Department of Neurosurgery, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, USA.
Objective:
To investigate whether thoracic spinal canal and cord anatomy, as visualized on preoperative magnetic resonance imaging (MRI), predicts pain outcomes following spinal cord stimulation (SCS) for chronic pain.
Methods:
A retrospective review identified 70 patients who underwent thoracic percutaneous SCS implantation between 2016 and 2024 with ≥ 12 months of follow-up. Preoperative T1-weighted and T2-weighted MRI scans were used to measure anatomical parameters at T8 and T9 levels, including dorsal canal distance, dorsal cerebrospinal fluid layer thickness, and percentage of free canal area. Patients were categorized as "successful" or "unsuccessful" based on ≥ 50% pain reduction documented in follow-up visits. Associations between anatomical measurements, SCS outcomes, lead migration, and surgical duration were analyzed.
Results:
Of 70 patients, 61.4% achieved successful pain relief. No significant differences were found in spinal canal dimensions between success and failure groups. Stratification into "small" and "large" anatomical subgroups similarly showed no significant association with outcomes. However, a smaller free canal area and dorsal canal triangle area at T8 were modestly associated with increased lead migration (r = -0.345 and -0.306, P < 0.05). No significant relationship was observed between lumbar access parameters and surgical duration.
Conclusions:
Preoperative thoracic spinal anatomy, as measured on supine MRI, was not predictive of SCS therapy success. While smaller canal dimensions may increase lead migration risk, they do not appear to affect long-term pain outcomes. These findings support a shift toward dynamic, patient-specific, and computational models for improving SCS efficacy and patient selection.
More Related Videos
04:42Treating Low Back Pain in Failed Back Surgery Patients with Multicolumn-lead Spinal Cord Stimulation
Published on: June 26, 2018
08:20Author Spotlight: Unveiling the Therapeutic Effects of FSN Treatment – Bridging Research and Clinical Applications in Neuropathic Pain
Published on: June 30, 2023