J Neurosurg Spine 42:403–412, 2025
The document discusses a systematic review aimed at creating a unified definition of successful spinal fusion by integrating clinical symptoms, imaging modalities, and bone healing processes. It proposes a clinical algorithm for evaluating fusion success, emphasizing the need for standardized assessment criteria.
• A systematic review was conducted to develop a unified definition of successful spinal fusion, incorporating clinical symptoms and imaging modalities.
• The review involved 20 studies evaluating 1,324 spinal fusion procedures, resulting in a clinical algorithm for determining fusion success.
• The algorithm stratifies patients as symptomatic or asymptomatic, using specific imaging techniques based on pain type.
• Successful fusion for asymptomatic patients is considered after 12 months, while persistent symptoms indicate failure regardless of radiographic findings.
• Limitations include reliance on imaging and heterogeneous study data, but the algorithm aims to standardize fusion evaluation and improve outcomes.
• Future directions suggest using AI and machine learning for predictive algorithms and evaluating regional differences in fusion assessment.
• The proposed algorithm aims to improve diagnostic accuracy and provide a shared understanding of successful spinal fusion among clinicians.
• Implementation of the algorithm can enhance outcomes research and assess new developments in spinal fusion.

You must be logged in to post a comment.