Novel Imaging Modalities in Osteoporosis Diagnosis and Risk Stratification
Purpose of review
Two hundred million individuals worldwide are diagnosed with osteoporosis, and every year, approximately 8.9 million experience a fracture. There is an opportunity with new diagnostic technology to enhance risk stratification of osteoporosis to improve patient outcomes. The current standard for osteoporosis diagnosis includes an areal bone mineral density (aBMD) T-score derived from a dual-energy X-ray absorptiometry (DXA) scan. However, aBMD does not account for bone quality, resulting in some individuals at risk for fracture not being identified. This review article will explore the potential of novel imaging technologies in osteoporosis diagnosis and risk stratification.
Several novel imaging technologies have had success identifying those at risk for fracture and measuring treatment effectiveness. These include trabecular bone score (TBS), high-resolution peripheral quantitative computed tomography (HR-pQCT), peripheral quantitative computed tomography (pQCT), magnetic resonance imaging (MRI), and quantitative ultrasound (QUS). Recently, TBS has been incorporated into fracture risk prediction.
While these imaging modalities show promise, further investigation is necessary to determine accuracy and reliability in osteoporosis diagnostics and fracture risk stratification before clinical integration is possible.
KeywordsOsteoporosis Fracture Imaging Peripheral quantitative tomography Magnetic resonance
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
References and Recommended Reading
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
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