Bone Density

The Algorithm

Zebra’s bone density algorithm uses existing CT scans, performed for any reason, to output a result which is equivalent to the Bone Density T-Score generated by DEXA scans.

Providers can use their existing CT data to conduct prescreening for people with increased risk of fracture, with no need for additional tests or radiation. These can then be targeted for Bone Health or Fracture Prevention programs, reducing overall fracture rates and associated costs.

About Bone Density

Osteoporosis affects 1/3 women and 1/5 men over 50 and is responsible for 9M fractures globally every year. 80% of those at risk are not identified or treated, and patients who suffer from an Osteoporotic fracture experience significant degradation in their quality of life – 25% of hip fracture patients end up in a nursing home within 12 months of their fracture. The costs of Osteoporosis treatment are estimated to be $17 Billion in the US alone.

One of the parameters used to identify patients at risk of Osteoporosis is bone density. A DEXA scan provides a T-Score, which along with other risk factors gives an indication of the likelihood of Osteoporosis. Unfortunately, few people actively seek to monitor their bone density, and DEXA scans are only performed by a small percentage of the population. This perpetuates the low identification rate.

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