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Abstract Romosozumab, a sclerostin inhibitor, exerts a dual effect of increasing bone formation while decreasing bone resorption to rapidly increase bone mineral density (BMD) and reduce fracture risk in postmenopausal women. Iterative Convolution OptimizatioN (ICON) allows accurate calculation of deconvolved cortical thickness from high-resolution quantitative computed tomography (HR-QCT) scanning. This study employed HR-QCT to evaluate compartmental (including endosteal and periosteal) changes in the vertebral cortical shell in postmenopausal women who received romosozumab, teriparatide, or placebo. In a subset of a phase 2, randomized study (NCT00896532), women (55-85 yr) with low BMD (T-score ≤ −2.0, but not −3.5, at the lumbar spine, total hip, or femoral neck) treated with subcutaneous (SC) romosozumab monthly (210 mg; n = 11), SC teriparatide daily (20 μg; n = 12), or SC placebo (n = 8) had spine HR-QCT scans at baseline and Month 12 to assess treatment effects on cortical and cancellous compartments of the T12 vertebra. HR-QCT was obtained at 120 kVp and 360 mAs. Cortical changes were evaluated using ICON software. At Month 12, compared to teriparatide and placebo, romosozumab treatment was associated with greater gains in all cortical parameters. Changes in cancellous bone parameters were similar with romosozumab and teriparatide. Romosozumab significantly increased cortical thickness (mean ± SD; 53 ± 18%) and the magnitude of this change was greater than that of teriparatide (20 ± 13%) and placebo (3 ± 6%); all p .001. With romosozumab, cortical BMC and apparent cortical BMD were also significantly increased from baseline, and compared to teriparatide and placebo (all p .001). These changes occurred through endosteal and periosteal bone matrix apposition, with greatest changes seen at the endosteal surface. The location and magnitude of these changes likely form the basis of the rapid improvement in bone mass, structure, and strength that contribute to romosozumab’s rapid vertebral fracture risk reduction efficacy; however, conclusions are limited by the small sample size.
Damm et al. (Tue,) studied this question.
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