title: Trabecular bone score (TBS): available knowledge, clinical relevance, and future prospects.
abstract: The diagnosis of osteoporosis rests on areal bone mineral density (BMD) measurement using DXA. Cancellous bone microarchitecture is a key determinant of bone strength but cannot be measured using DXA. To meet the need for a clinical tool capable of assessing bone microarchitecture, the TBS was developed. The TBS is a texture parameter that evaluates pixel gray-level variations in DXA images of the lumbar spine. The TBS variations may reflect bone microarchitecture. We explain the general principles used to compute the TBS, and we report the correlations between TBS and microarchitectural parameters. Several limitations of the TBS as it is used now are pointed out. We discuss data from currently available clinical studies on the ability of the TBS to identify patients with fractures and to evaluate the fracture risk. We conclude that this new index emphasizes the failure of the BMD T-score to fully capture the fragility fracture risk. However, although microarchitecture may influence the TBS, today, to the best of our understanding, there is no sufficient evidence that a TBS measurement provides reliable information on the status of the bone microarchitecture for a given patient. The TBS depends on gray-level variations and in a projectional image obtained in vivo, these variations can have many causes. Nevertheless, as clinical studies suggest that the TBS predicts the risk of fracture even after adjustment for BMD, we are encouraged to learn more about this score. Additional studies will have to be performed to assess the advantages and limitations of the TBS, in order to ensure that it is used appropriately in clinical practice.
authors.affiliation: Faculté de Médecine Lariboisière-Saint Louis, Laboratoire de Radiologie Expérimentale, CNRS UMR 7052, Université Paris VII, 10 avenue de Verdun, 75010 Paris, France. valerie.bousson@lrb.aphp.fr
authors.forename: V
authors.initials: V
authors.lastname: Bousson
authors.forename: C
authors.initials: C
authors.lastname: Bergot
authors.forename: B
authors.initials: B
authors.lastname: Sutter
authors.forename: P
authors.initials: P
authors.lastname: Levitz
authors.forename: B
authors.initials: B
authors.lastname: Cortet
mesh_terms: D015502:Absorptiometry, Photon / Q000379:methods* / Q000639:trends; D015519:Bone Density / Q000502:physiology; D019317:Evidence-Based Medicine / Q000379:methods; D006801:Humans; D008159:Lumbar Vertebrae / Q000000981:diagnostic imaging / Q000503:physiopathology; D010024:Osteoporosis / Q000000981:diagnostic imaging*; D058866:Osteoporotic Fractures / Q000000981:diagnostic imaging; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods
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