ReviewAsian journal of neurosurgery2026
Bone Mineral Density of Spine Patients with CT Hounsfield Units and AI Segmentation: A Contemporary Review.
Review in Asian journal of neurosurgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
13 authors.
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Abstract
It is widely accepted that bone mineral density affects outcomes for spinal arthrodesis surgeries. Traditional techniques such as dual-energy X-ray absorptiometry (DEXA) historically have been used to screen for osteopenia and osteoporosis. Hounsfield units (HUs) are emerging as a potentially superior metric to DEXA in osteoporosis identification and preoperative planning. HU measurements influence spinal instrumentation outcomes, with lower values correlating with postoperative complications such as pseudoarthrosis, interbody subsidence, and proximal junctional kyphosis. Advancements in artificial intelligence (AI) and machine learning (ML) expand the utility of CT HU to improve osteoporosis screening, predict fracture risk, and optimize surgical planning. This review aims to: (1) discuss the use of HU units in osteoporosis diagnosis, (2) summarize the correlation of HU and spinal surgery outcomes, and (3) present emerging AI and ML models that use segmentation technology and HU analysis to advance diagnosis and surgical planning.
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