Osteoporotic Precise Screening Using Chest Radiography and Artificial Neural Network: The OPSCAN Randomized Controlled Trial
Radiology. 2024 Jun;311(3):e231937. doi: 10.1148/radiol.231937.
Background: Diagnosing osteoporosis is difficult as it often shows no symptoms, so it’s crucial to screen high-risk populations.
Purpose: This study assessed the effectiveness of using chest radiographs and an AI model to identify high-risk patients for osteoporosis and offer them fully reimbursed DXA examinations.
Results: Out of the 40,658 participants, 12.1% were identified as high risk by the AI model, with 75.2% of those who underwent DXA examinations being diagnosed with new-onset osteoporosis.
Conclusion: Providing DXA screening to high-risk patients identified by AI-enabled chest radiographs effectively diagnosed more patients with osteoporosis.
Clinical trial registration no. NCT05721157 © RSNA, 2024
PMID: 38916510 | DOI: 10.1148/radiol.231937
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