ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2026
Clinical and economic impact of deep learning-enhanced opportunistic osteoporosis screening using chest radiographs with and without the osteoporosis self-assessment tool for Asians (OSTA).
Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- AI-derived bone mineral density from standard radiographs compared with DXA for fracture prediction in a 10-year real-world cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Opportunistic analysis of chest radiographs with deep learning detects osteoporosis cost-effectively in women aged ≥ 50 years in Singapore. Adding OSTA marginally improves efficiency, but DL "deep learning" screening alone already reduces fractures and increases quality-adjusted life-years (QALYs) at acceptable cost. PURPOSE: Osteoporosis is underdiagnosed in older women due to limited access to dual-energy X-ray absorptiometry (DXA). Chest radiographs are commonly performed, and deep learning (DL) algorithms can opportunistically detect osteoporosis features. This study evaluated the clinical and economic impact of DL-enhanced opportunistic screening, alone or with the Osteoporosis Self-Assessment Tool for Asians (OSTA), in Singaporean women aged ≥ 50 years.
methodsA lifetime microsimulation-based Markov model from the healthcare system perspective compared three strategies: DL screening alone, DL screening combined with OSTA, and no screening. Model inputs included screening performance, DXA referral rates, treatment uptake and adherence, and local fracture incidence and cost data. The base case assumed 5 years of alendronate therapy for treated women. Outcomes included fractures prevented, quality-adjusted life years (QALYs) gained, and incremental cost-effectiveness ratios (ICERs).
resultsCompared with no screening, DL screening alone reduced fractures and increased QALYs, with an ICER of S$46,412 per QALY at 17% osteoporosis prevalence, below a willingness to pay threshold of S$85,000. Adding OSTA improved efficiency, decreasing the ICER by ~ 6% while slightly improving clinical benefits. Across a prevalence range of 9.3%-37%, ICERs ranged from S$71,162 to S$24,749. When scaled to 10,000 women, the combined strategy could prevent 17 fractures, yield 7 additional life-years, and generate 16 QALYs.
conclusionDL-enhanced chest radiographs offer a cost-effective approach for opportunistic osteoporosis screening in Singaporean women aged ≥ 50 years. Combining with OSTA slightly improves efficiency, but DL screening alone is already cost-effective and provides a scalable preventive strategy in real-world healthcare.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.