A novel CT soft tissue window-based visual scoring system for rapid assessment of bone density

Area of Science:

• Radiology
• Orthopedics
• Bone Densitometry

Background:

• Accurate bone density assessment is crucial for diagnosing osteoporosis and predicting fracture risk.
• Current methods like DXA may not always be readily available or suitable for all patients.
• CT imaging is widely used, offering an opportunity for integrated bone density evaluation.

Purpose of the Study:

• To develop and validate the vertebral low-attenuation area (VLAA) score, a CT-based visual scoring system for rapid bone density assessment.
• To evaluate the correlation of the VLAA score with established densitometric measures, including T-scores, Hounsfield units (HU), and vertebral bone quality (VBQ) scores.
• To assess the VLAA score's ability to predict osteopenia, osteoporosis, and postoperative titanium mesh cage (TMC) subsidence.

Main Methods:

• Developed a visual scoring system (VLAA score) for cervical vertebrae (C3-C7) based on low-attenuation areas.
• Correlated VLAA scores with T-scores, HU values, and VBQ scores using Pearson's correlation.
• Employed multiple linear regression and ROC curve analysis to evaluate predictive performance for bone density and TMC subsidence.

Main Results:

• VLAA scores showed significant correlations with T-scores (r = -0.647 to -0.676), HU values (r = -0.823), and VBQ scores (r = 0.492).
• The VLAA score independently predicted the lowest T-score (p < 0.001).
• Optimal VLAA cutoffs identified osteopenia (AUC = 0.83) and osteoporosis (AUC = 0.89); a correlation with TMC subsidence was also observed (AUC = 0.73).

Conclusions:

• The VLAA score provides a rapid, reliable visual assessment of bone density from CT scans.
• It demonstrates strong correlations with established densitometric measures and accurately identifies osteopenia and osteoporosis.
• The VLAA score shows promise in predicting postoperative complications like TMC subsidence.