Evidence map›Paper›PMID 42347144›Full record

ArticleTomography (Ann Arbor, Mich.)2026

Opportunistic Screening for Low Bone Density Using Automated Vertebral Trabecular CT Attenuation from Low-Dose CT Acquired During FDG PET/CT: A Single-Center Retrospective Study.

Hyun-Kyeong Yuk, Sung-Hoon Oh, Do-Hoon Kim

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 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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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hyun-Kyeong YukDepartment of Radiology, Daejeon Eulji Medical Center, Daejeon 35233, Republic of Korea.ORCID 0009-0007-5352-9425
Sung-Hoon OhDepartment of Radiology, Daejeon Eulji Medical Center, Daejeon 35233, Republic of Korea.ORCID 0000-0001-6916-3375
Do-Hoon KimDepartment of Nuclear Medicine, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon 35233, Republic of Korea.ORCID 0000-0003-3703-9796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic performance of automated vertebral trabecular Hounsfield unit (HU) measurements derived from routine fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) for identifying low bone density.

methodsThis retrospective study included 131 consecutive women (mean age, 53.5 ± 9.6 years) undergoing health screening with FDG PET/CT and dual-energy X-ray absorptiometry (DXA) between January 2020 and December 2024. A deep learning-based model (TotalSegmentator) automatically segmented the lumbar vertebrae (L1-L4). HU-based metrics in trabecular regions were calculated, and their correlations with DXA-derived bone mineral density (BMD) were assessed. Diagnostic performance was evaluated using receiver operating characteristic analysis. A multivariable logistic regression model incorporating mean HU, age, and body mass index was developed and internally validated using bootstrap resampling.

resultsAccording to WHO criteria, 47 of 131 participants (35.9%) had low bone density. Mean HU demonstrated strong diagnostic performance (area under the curve [95% confidence interval]: L1, 0.861 [0.800-0.923]; L2, 0.852 [0.788-0.915]; L3, 0.861 [0.800-0.921]; L4, 0.845 [0.781-0.909]). L1 mean HU provided the most balanced performance (sensitivity, 0.851; specificity, 0.750); L3 mean HU was slightly inferior. L1 mean HU was strongly correlated with BMD (r = 0.821,

conclusionsThe automated assessment of vertebral trabecular HU from routine FDG PET/CT provides a reliable and highly efficient method for screening low bone density without additional radiation exposure or cost.

Indexed as

Bone DensityCancellous BoneLumbar VertebraeOsteoporosisPositron Emission Tomography Computed TomographyAbsorptiometry, PhotonDeep LearningFemaleFluorodeoxyglucose F18HumansMass ScreeningMiddle AgedRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticalsautomated segmentationbone mineral densitydeep learningopportunistic screeningpositron emission tomography/computed tomography

Identifiers

PMID42347144
PMCPMC13307040

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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 OpenQuestion graph.