Evidence map›Paper›PMID 42426752›Full record

ArticleBMC musculoskeletal disorders2026

Screening performance of sternal CT attenuation for opportunistic osteoporosis.

Rongkang Liu, Chonggang Chen, Wenhua Wu, Lijiang He

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rongkang LiuDepartment of Spinal Surgery, The Second Affiliated Hospital of Fujian Medic al University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, 362000, Fujian Province, China.
Chonggang ChenDepartment of Spinal Surgery, The Second Affiliated Hospital of Fujian Medic al University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, 362000, Fujian Province, China.
Wenhua WuDepartment of Spinal Surgery, The Second Affiliated Hospital of Fujian Medic al University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, 362000, Fujian Province, China.
Lijiang HeDepartment of Spinal Surgery, The Second Affiliated Hospital of Fujian Medic al University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, 362000, Fujian Province, China. drhelijiang@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis represents a major global public health problem, yet it remains substantially underdiagnosed. Although dual-energy X-ray absorptiometry (DXA) is considered the clinical gold standard for bone mineral density (BMD) assessment, its routine use for population-based screening is limited. As an alternative, the use of routine computed tomography (CT) for opportunistic screening has emerged as a promising approach. This study aims to evaluate the feasibility of utilizing sternal CT values (Hounsfield units, HU) from chest CT scans to assess osteoporosis.

methodsThis retrospective study included 145 patients aged ≥ 50 years who underwent chest CT and DXA within a one-month interval. CT HU values were measured at the upper, middle, and lower levels of the sternum by three independent observers. Inter-observer reliability was assessed using intraclass correlation coefficients (ICC). Correlations between sternal CT values, T-score, age, and body mass index (BMI) were analyzed using Pearson correlation. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of sternal CT HU values for identifying osteoporosis.

resultsSignificant positive correlations were observed between sternal CT HU values and DXA T-score at all measured levels (r > 0.506, P < 0.01), with the mean sternal CT value exhibiting the strongest association (r = 0.632). Inter-observer agreement was excellent across all sternal levels (ICC range: 0.926-0.980). Moreover, ROC analysis revealed that the lower sternal level provided the best diagnostic performance for osteoporosis, with an area under the curve (AUC) of 0.8712 (95% CI: 0.8128-0.9296). An optimal cutoff value of 64.90 HU was identified, with a sensitivity of 80.9% and a specificity of 85.7%.

conclusionsSternal CT HU values measured on chest CT scans are significantly correlated with DXA-measured BMD. In particular, measurements at the lower sternal level showed the best diagnostic performance and may serve as a potential supplementary tool for opportunistic osteoporosis screening in elderly patients.

Indexed as

Mass ScreeningOsteoporosisSternumTomography, X-Ray ComputedAbsorptiometry, PhotonAgedAged, 80 and overBone DensityFeasibility StudiesFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesBone mineral density (BMD)Computed Tomography (CT)Opportunistic screeningOsteoporosisSternal CT HU value

Identifiers

PMID42426752
PMCPMC13520372

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.