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Author Spotlight: Scope of LE-ULBD as a Safe, Effective, and Minimally Invasive Approach to Treat Lumbar Spinal Stenosis
Published on: February 9, 2024
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An Algorithmic Approach to Treating Lumbar Spinal Stenosis: An Evidenced-Based Approach
Sudhir Diwan1,2, Dawood Sayed3, Timothy R Deer4
1Advanced Spine on Park Avenue, New York, NY 10022.
Pain Medicine (Malden, Mass.)
|December 7, 2019
Summary
This review presents an evidence-based algorithm for managing lumbar spinal stenosis (LSS). It emphasizes considering minimally invasive surgery after conservative treatments and epidural steroid injections (ESIs) fail.
Area of Science:
- Neurosurgery
- Orthopedics
- Geriatrics
Background:
- Lumbar spinal stenosis (LSS) is increasingly prevalent due to aging.
- LSS causes neural and vascular compression, leading to leg, thigh, and buttock pain.
- Current LSS management involves conservative care, epidural steroid injections (ESIs), and surgery.
Purpose of the Study:
- To evaluate variables in LSS patient management.
- To assess the role of each treatment option for optimal LSS care.
- To develop a practical, evidence-based algorithm for LSS treatment.
Main Methods:
- Literature review of LSS management strategies.
- Evaluation of conservative treatments (physical therapy, medication, exercise).
- Assessment of epidural steroid injections (ESIs) and surgical interventions.
Main Results:
- An evidence-based algorithm for LSS management was created.
- Minimally invasive surgery is highlighted as a key option.
- The algorithm guides clinicians on treatment sequencing for LSS.
Conclusions:
- Optimal LSS management requires careful consideration of multiple factors.
- Minimally invasive surgery should be considered when conservative measures and ESIs are insufficient.
- The developed algorithm aims to improve clinical decision-making for LSS patients.
