Deep Learning for Opportunistic Vertebral Fracture Detection on Routine Thoraco-abdominal Computed Tomography: A Systematic Review and Hierarchical Summary Receiver Operating Characteristic Meta-analysis of Patient-level Diagnostic Test Accuracy

Kalab Yigermal Gete

doi:10.1016/j.acra.2026.06.007

Deep Learning for Opportunistic Vertebral Fracture Detection on Routine Thoraco-abdominal Computed Tomography: A Systematic Review and Hierarchical Summary Receiver Operating Characteristic Meta-analysis of Patient-level Diagnostic Test Accuracy

2026-06-29

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Kalab Yigermal Gete *

Z

Zulaika Nassir Idris

B

Belete Achamyelew Ayele

DOI：10.1016/j.acra.2026.06.007

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Vertebral fractures (VFs) are common, clinically important, and often missed on routine chest or abdominal computed tomography (CT). Deep learning (DL) may support opportunistic case-finding.

Deep Learning for Opportunistic Vertebral Fracture Detection on Routine Thoraco-abdominal Computed Tomography: A Systematic Review and Hierarchical Summary Receiver Operating Characteristic Meta-analysis of Patient-level Diagnostic Test Accuracy

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