AI-enableD bone health Optimisation osteoPorosis for Treatment
Research type
Research Study
Full title
Clinical and cost-effectiveness of AI-detection of routine CT scans to detect adults with vertebral fractures and increase anti-osteoporosis treatment: a historical, parallel cohort study
IRAS ID
311094
Contact name
Muhammad K Javaid
Contact email
Sponsor organisation
: University of Oxford / Research Governance, Ethics and Assurance
Duration of Study in the UK
3 years, 0 months, 0 days
Research summary
We want to describe the hospital use and quality of life of patients who have been diagnosed with an osteoporotic spine fracture using an artificial intelligence (AI) program by routine NHS services. While body scans can detect an osteoporotic spine fracture, most fractures are either not reported or not acted upon. NHS services are now using artificial intelligence programmes to analyse existing scans to find these fractures and then manage patients for osteoporosis. If this pathway is found to be beneficial to the NHS, it will identify 100,000's patients with undiagnosed osteoporosis who would benefit from treatment and reduce their risk of a potentially life-changing fracture.
Adults aged 50 years and over who have been identified with a spine fracture by 5 hospitals using an AI program in routine NHS practice, will be eligible for the study. We will invite adults identified using a body scan in 2017 and 2022/3 to record either online or by post a series of questionnaires about their medical history focusing on bone health and back pain. Data from their local hospital records will supplement this information. Adults identified using a scan done in 2022/3 will also be followed every six-monthly assessments for 2 years. We will also contact their GP to copy their primary care records in a subset.All adults who have been identified with a spine fracture by 5 hospitals that are using an AI program in routine NHS practice, will be eligible for the study. We will invite adults identified using a scan in 2017 to record either online or by post a series of questionnaires about their medical history focusing on bone health and back pain. Data from their local hospital records will supplement this information. We will invite adults identified using a scan done in 2022/3 to complete similar information at baseline and then follow them forward for two years with six-monthly assessments. We will also contact their GP to copy their primary care records in a subset.
REC name
West Midlands - Coventry & Warwickshire Research Ethics Committee
REC reference
22/WM/0173
Date of REC Opinion
3 Aug 2022
REC opinion
Favourable Opinion