ArticleRadiologie (Heidelberg, Germany)2026
Multisite opportunistic osteoporosis screening in polytrauma : Vertebral, femoral, and dentomaxillofacial markers.
Article in Radiologie (Heidelberg, Germany), 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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Abstract
backgroundOsteoporosis is frequently underdiagnosed in trauma patients. However, contrast-enhanced whole-body computed tomography (WBCT) in polytrauma care enables opportunistic assessment of bone status without additional radiation exposure. The aim of this study was to investigate whether vertebral, femoral, and dentomaxillofacial CT parameters can identify patients with documented osteopenia or osteoporosis and whether a combined score improves classification. MATERIALS AND
methodsThis retrospective, single-center study included 60 WBCT cases. Twenty patients with osteopenia or osteoporosis documented in their initial trauma report were compared with 20 age- and sex-matched reference patients and 20 younger patients. The final classification of bone status was based on an evaluation of patient records, including dual-energy X‑ray absorptiometry (DXA) data (where available), and medical history. Trabecular density was measured in the lumbar spine (L1-L3), femoral neck, and maxillary alveolar ridge. Hard palate cortical thickness (HPT) was measured in millimeters. The whole-body osteoporosis screening score was defined as WBOS = ƒ(HPT, hip HU, lumbar HU).
resultsMeasurements of HPT, maxilla, hip, and lumbar spine decreased significantly in patients with osteopenia/osteoporosis patients. The combined WBOS score demonstrated the best exploratory performance, with a sensitivity of 100.0%, a specificity of 97.1%, an accuracy of 98.3%, and an AUC of 0.994 at a preliminary threshold of 361.
conclusionOpportunistic multisite assessment of bone status using WBCT in polytrauma appears feasible. The WBOS showed the best exploratory discrimination but requires further validation against DXA or quantitative CT before clinical implementation.
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