Objective:

To establish a sequence-specific predictive model for spinal bone loss targeting both abnormal bone density and osteoporosis using conventional lumbar MRI.

Approach:

Key Findings:

• T1WI achieved the highest AUC (0.821) for predicting osteoporosis.
• T2WI demonstrated superior performance for predicting abnormal bone density with an AUC of 0.942.
• The combined T1WI+T2WI approach had lower predictive efficacy (AUC = 0.775) compared to T1WI and T2WI alone.

Interpretation:

The predictive efficacy for osteoporosis and abnormal bone density is sequence-dependent, highlighting the need for tailored MRI sequence selection based on the specific pathology being assessed.

Limitations:

• The study is retrospective and may have selection bias.
• Limited generalizability due to a single-center study design.
• Potential confounding factors, such as obesity and metabolic diseases, were not accounted for in the analysis.

Conclusion:

MRI-based strategies for diagnosing osteoporosis show promise while avoiding radiation exposure, with T1WI and T2WI offering distinct advantages for different conditions, emphasizing the importance of sequence-specific strategies in clinical practice.

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