ArticleThe British journal of radiology2019
Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes.
Article in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.
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Who cites it
52 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.
- Two-decade dialogue between artificial intelligence and osteoporosis: research trajectories and frontier projections under bibliometric and visual analysis.Frontiers in medicine · 2025Pooled it
- Longitudinal evaluation of intra-patient changes in computed tomography-based body composition measures.Abdominal radiology (New York) · 2026Article
- Bone Mineral Density of Spine Patients with CT Hounsfield Units and AI Segmentation: A Contemporary Review.Asian journal of neurosurgery · 2026Review
- Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans.Abdominal radiology (New York) · 2026Article
- Automated CT-Based Muscle Density Predicts Mortality Regardless of Muscle Area.Journal of cachexia, sarcopenia and muscle · 2026Article
- Opportunistic osteoporosis assessment from routine CT-effect of intravenous contrast agents on absolute values, T-scores, and derived classifications in single- and dual-energy CT.European radiology · 2026Article
- Progress in fully automated abdominal CT interpretation-an update over the past decade.Abdominal radiology (New York) · 2026Review
- Heterogeneity in Lumbar Segmental Bone Mineral Density and Age-Related Evolution of Whole-Body Bone Mineral Density: Comprehensive Implications for Osteoporosis Risk Assessment.Orthopaedic surgery · 2026Article
- The Association Between Short-Term Bone Loss and Future Osteoporotic Vertebral Fractures.Clinical interventions in aging · 2026Article
- Tumor-Derived Polyamines Initiate Fat Wasting in Cancer Cachexia.bioRxiv : the preprint server for biology · 2025Article
- Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.La Radiologia medica · 2025Article
- Opportunistic screening for osteoporosis: validation study for L1 bone density measurements using contrast-enhanced chest and abdominal CTs.Skeletal radiology · 2025Article
- Observational
- Development of L1 Vertebral Anthropomorphic Model for Densitometric Phantom Improvement.Sovremennye tekhnologii v meditsine · 2025Article
- Observational
- End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography.Endocrinology and metabolism (Seoul, Korea) · 2024Article
- Fully automated CT imaging biomarkers for opportunistic prediction of future hip fractures.The British journal of radiology · 2024Article
- A study on whether deep learning models based on CT images for bone density classification and prediction can be used for opportunistic osteoporosis screening.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Article
- Detecting whether L1 or other lumbar levels would be excluded from DXA bone mineral density analysis during opportunistic CT screening for osteoporosis using machine learning.International journal of computer assisted radiology and surgery · 2023Article
- Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography.Bioengineering (Basel, Switzerland) · 2023Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
methods: The automated BMD tool was retrospectively applied to non-contrast abdominal CT scans in 1603 consecutive asymptomatic adults (mean age, 55.9 years; 770 M/833 F) undergoing longitudinal screening (mean interval, 5.7 years; range, 1.0-12.3 years). The spinal column was automatically segmented, with standardized L1 and L2 anterior trabecular ROI placement. Automated and manual L1 HU values were compared, as were automated supine-prone measures. L1-L2 CT attenuation values were converted to BMD values through a linear regression model. BMD values and changes were assessed according to age and gender.
results: Success rate of the automated BMD tool was 99.8 % (four failed cases). Both automated supine vs prone and manual vs automated L1 attenuation measurements showed good agreement. Overall mean annual rate of bone loss was greater in females than males (-2.0% vs -1.0%), but the age-specific rate declined faster in females from age 50 (-2.1%) to age 65 (-0.3%) compared with males (-0.9% to -0.5%). Mean BMD was higher in females than males at age 50 (143.6 vs 135.1 mg cm
conclusion: This robust, fully automated CT BMD tool allows for both individualized and population-based assessment. Mean BMD was lower in men than women aged 50-60, but accelerated post-menopausal bone loss in women resulted in lower values beyond age 60. ADVANCES IN KNOWLEDGE:: This fully automated tool can be applied to routine abdominal CT scans for prospective or retrospective opportunistic BMD assessment, including change over time. Mean BMD was lower in men compared with women aged 50-60 years, but accelerated bone loss in women during this early post-menopausal period resulted in lower BMD values for women beyond age 60.
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Registered trials
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.