Iranian researchers have managed to develop software that predicts the risk of osteoporosis, the silent bone disease associated with fragile fractures, with high accuracy.
Osteoporosis is the thinning of bone tissue and loss of bone density over time. The silent disease, which is more common in women older than 50, is often diagnosed too late when the patients suffer severe bone loss or related fractures.
Physicians usually diagnose osteoporosis through measuring bone mass using different techniques including Bone Mineral Densitometry (BMD) which exposes the patients to certain amounts of x-ray radiation.
The Dual-emission X-ray absorptiometry (DXA), which is considered as the most common and standard method in this regard, lacks desirable accuracy especially in studying lumbar spines.
The new software developed by Amirkabir University of Technology researchers showed promising results in determining the risk of bone loss as well as diagnosing patients with osteoporosis, said lead researcher Maede Mohammadifar.
The accuracy of the new software in predicting the risk of osteoporosis is higher than 97 percent, said Mohammadifar, adding that the new method can also help physicians detect individuals who need to undertake BMD as a screening test.
According to the evaluation study, the software, which provides the radiography images of the five lumbar spines, has also showed 81 percent accuracy in diagnosing individuals suffering from the disease.
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