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)
Main finding · ICER, DL screening alone vs no screeningResult — go to the resultICER S$46,412 per QALYAuthors' conclusion
DL-enhanced chest radiographs offer a cost-effective approach for opportunistic osteoporosis screening in Singaporean women aged ≥ 50 years.
Study context
- Population
- Singaporean women aged ≥ 50 years (simulated)
- Comparison
- Deep learning (DL) screening of chest radiographs alone vs DL screening combined with OSTA vs no screening
- Outcome
- Fractures prevented, QALYs gained and incremental cost-effectiveness ratios (ICERs)
- Follow-up
- Lifetime
Methodological detailsmicrosimulation-based Markov model, lifetime horizon, healthcare system perspective, base case 5 years of alendronate therapy for treated women
- Microsimulation-based Markov model
- Lifetime horizon
- Healthcare system perspective
- Base case 5 years of alendronate therapy for treated women
Main finding
ICER, DL screening alone vs no screening
ICER
S$46,412 per QALY
As reported in the abstract
- Adding OSTA decreased the ICER while slightly improving clinical benefits
- ≈6%
Further findings
ICER across osteoporosis prevalence range 9.3%-37%
- ICER range
- S$71,162 to S$24,749
Combined strategy outcomes scaled to 10,000 women · lifetime
- Fractures prevented
- 17
- Additional life-years
- 7
- QALYs generated
- 16
Original publication
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). Osteoporos Int. Published 21 January 2026. doi:10.
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