Fracture Risk Scores Using Output from an Opportunistic Screen of Low Bone Density from Conventional X-ray.

IF 5.9 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Catriona A Syme, Mark D Cicero, Jonathan D Adachi, Claudie Berger, Suzanne N Morin, David Goltzman, Alexander Bilbily
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Abstract

Fracture risk is commonly assessed by FRAX, a tool that estimates 10-year risk for major osteoporotic fracture (MOF) and hip fracture. FRAX scores are often refined by additionally including femoral neck (FN) bone mineral density (BMD) measured by dual-energy x-ray absorptiometry (DXA) as an input. Rho™, a novel AI-powered software, estimates FN BMD T-Scores from conventional x-rays, even when FN is not in the image. Whether a FRAX score using this estimate (FRAX-Rho) can improve a FRAX score without a T-Score input (FRAX-NoT) has not been studied. We conducted a retrospective analysis of Canadian Multicentre Osteoporosis Study participants who had x-rays of the lumbar and/or thoracic spine, FRAX risk factors, and DXA T-Scores acquired at the same time point, and follow-up fracture outcomes over 9 years. In 1361 participants with lumbar x-rays, FRAX-Rho and FRAX with DXA FN T-Scores (FRAX-DXA) had very good agreement in categorizing participants by MOF risk (Cohen's weighted kappa κ=0.80 [0.77-0.82]), which tended to be better than that between FRAX-NoT and FRAX-DXA (0.76 [0.73-0.79]). Agreement in categorizing participants by hip fracture risk was significantly greater between FRAX-Rho and FRAX-DXA (0.67 [0.63-0.71]) than FRAX-NoT and FRAX-DXA (0.52 [0.48-0.56]). In predicting true incident MOF, FRAX-Rho and FRAX-DXA did not differ in their discriminative power (c-index) (0.76 and 0.77; p=0.36) and both were significantly greater than that of FRAX-NoT (0.73; p<0.004). The accuracy of FRAX-Rho for predicting MOF (Brier Score) was better than FRAX-NoT (p<0.05) but not as good as FRAX-DXA. Similar results were observed in participants with thoracic x-rays. In conclusion, FN T-Scores estimated by Rho from lumbar and thoracic x-rays add value to FRAX-NoT estimates and may be useful for risk assessment when DXA is not available.

利用常规x线低骨密度机会性筛查结果进行骨折风险评分。
骨折风险通常通过FRAX进行评估,这是一种评估重大骨质疏松性骨折(MOF)和髋部骨折10年风险的工具。FRAX评分通常通过额外包括双能x线吸收仪(DXA)测量的股骨颈(FN)骨密度(BMD)作为输入来改进。Rho™是一种新型的人工智能软件,即使FN不在图像中,也可以从传统的x射线中估计FN BMD t - score。使用该估计(FRAX- rho)的FRAX评分是否可以在没有T-Score输入(FRAX- not)的情况下提高FRAX评分尚未研究。我们对加拿大多中心骨质疏松症研究的参与者进行了回顾性分析,这些参与者在同一时间点进行了腰椎和/或胸椎x光片,FRAX危险因素和DXA t评分,并随访了9年以上的骨折结果。在1361名腰椎x线检查的参与者中,FRAX- rho和FRAX与DXA的FN t - score (FRAX-DXA)在MOF风险分类参与者方面具有非常好的一致性(Cohen加权κ=0.80[0.77-0.82]),这往往优于FRAX- not和FRAX-DXA之间的一致性(0.76[0.73-0.79])。FRAX-Rho和FRAX-DXA对参与者髋部骨折风险分类的一致性(0.67[0.63-0.71])显著高于FRAX-NoT和FRAX-DXA(0.52[0.48-0.56])。在预测真实事件MOF时,FRAX-Rho和FRAX-DXA的判别能力(c指数)没有差异(0.76和0.77;p=0.36),两者均显著高于FRAX-NoT (0.73; p=0.36)
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来源期刊
Journal of Bone and Mineral Research
Journal of Bone and Mineral Research 医学-内分泌学与代谢
CiteScore
11.30
自引率
6.50%
发文量
257
审稿时长
2 months
期刊介绍: The Journal of Bone and Mineral Research (JBMR) publishes highly impactful original manuscripts, reviews, and special articles on basic, translational and clinical investigations relevant to the musculoskeletal system and mineral metabolism. Specifically, the journal is interested in original research on the biology and physiology of skeletal tissues, interdisciplinary research spanning the musculoskeletal and other systems, including but not limited to immunology, hematology, energy metabolism, cancer biology, and neurology, and systems biology topics using large scale “-omics” approaches. The journal welcomes clinical research on the pathophysiology, treatment and prevention of osteoporosis and fractures, as well as sarcopenia, disorders of bone and mineral metabolism, and rare or genetically determined bone diseases.
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