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Neuroradiology

E1126. A Resident-Friendly Approach for Interpreting Imaging Findings of Lumbar Spine Degenerative Disease

Segovis C,  Schroeder J,  West T,  Zapadka M. Wake Forest Baptist Medical Center, Winston Salem, NC

Address correspondence to C. Segovis (cegovis@wakehealth.edu)

Background Information: The imaging of spine degeneration comprises a significant imaging volume in many radiology practices; however, interpretation of lumbar spine imaging for degenerative disease can create anxiety in trainees due to interobserver and intraobserver variation. The purpose of this educational exhibit is to present a concise, algorithmic approach for the interpretation of degenerative disease of the lumbar spine across modalities that is applicable to learners at all levels.

Educational Goals/Teaching Points: In this exhibit, we present an efficient algorithmic approach for interpreting the imaging findings of degenerative lumbar spine disease based on accepted practices and consensus guidelines. This approach will be multimodal and include radiography, CT, and MRI. The presented approach will include an algorithm to systemically and concisely evaluate and report degenerative changes of the lumbar spine applicable to radiography, CT, and MRI. Although this approach will be resident-friendly, it could be used by all learners as a more efficient means to interpret the degenerative spine. Also, this approach could be used by faculty to help teach degenerative spine imaging interpretation at the workstation.

Key Anatomic/Physiologic Issues and Imaging Findings/Techniques: We provide a focused review of the anatomy of the lumbar spine relevant to the evaluation of lumbar spine degenerative disease with examples from radiography, CT, and MRI. We present examples of imaging protocols for optimal evaluation of disease and a resident-friendly, concise, algorithmic, multimodality approach for the interpretation of degenerative disease of the lumbar spine. Although resident-friendly, this approach will be applicable to all learners and to the teaching of degenerative spine imaging interpretation at the workstation.

Conclusion: Although imaging of degenerative disease of the lumbar spine can comprise a significant part of a trainee’s practice, interpretation of lumbar spine imaging for degenerative disease can create anxiety in trainees due to interobserver and intraobserver variation. This project will present a resident-friendly, concise, algorithmic approach for the interpretation of degenerative disease of the lumbar spine across modalities. The goal of this approach is to decrease resident anxiety, reduce interobserver and intraobserver variation, and provide residents with a tool that can be used daily in practice. This approach may also serve as an educational tool for all imagers with varying experience levels by presenting a more efficient means to interpret and potentially teach others how to interpret degenerative spine imaging.