MRI‑based scoring system to predict spondylodiscitis: The SPONDY-Score

Area of Science:

• Radiology
• Spinal Imaging
• Diagnostic Accuracy

Background:

• Differentiating spondylodiscitis from degenerative spine disease (DSD) is crucial for appropriate treatment.
• MRI is a key imaging modality for spinal pathology.
• Existing diagnostic methods may lack specificity.

Purpose of the Study:

• To develop and validate an MRI-based scoring system, the SPONDY-Score, for distinguishing spondylodiscitis from DSD.
• To assess the diagnostic performance and reproducibility of the proposed scoring system.

Main Methods:

• Retrospective analysis of MRI scans from 126 spondylodiscitis and 162 DSD patients.
• Identification and logistic regression of five significant MRI features.
• Development of the SPONDY-Score using training data (75%) and validation on testing data (25%).

Main Results:

• The SPONDY-Score incorporates features like bone edema, vertebral destruction, paravertebral edema, and disc signal intensity.
• With a threshold of 5 points and paravertebral collections, the SPONDY-Score achieved 89% accuracy, 95% sensitivity, and 85% specificity in the testing set.
• High inter-observer reproducibility for MRI features was observed (κ 0.61-0.90).

Conclusions:

• The SPONDY-Score demonstrates excellent diagnostic performance for differentiating spondylodiscitis from DSD.
• This scoring system offers an accurate and standardized approach to clinical decision-making in spinal imaging.
• The SPONDY-Score can improve diagnostic accuracy and guide treatment strategies for spinal conditions.