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Opportunistic diagnosis of osteoporosis, fragile bone strength and vertebral fractures from routine CT scans; a review of approved technology systems and pathways to implementation

机译:机会诊断骨质疏松症,脆弱的骨强度和来自常规CT扫描的椎骨骨折; 审查批准的技术系统和实施路径

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Osteoporosis causes bones to become weak, porous and fracture more easily. While a vertebral fracture is the archetypal fracture of osteoporosis, it is also the most difficult to diagnose clinically. Patients often suffer further spine or other fractures, deformity, height loss and pain before diagnosis. There were an estimated 520,000 fragility fractures in the United Kingdom (UK) in 2017 (costing £4.5?billion), a figure set to increase 30% by 2030. One way to improve both vertebral fracture identification and the diagnosis of osteoporosis is to assess a patient’s spine or hips during routine computed tomography (CT) scans. Patients attend routine CT for diagnosis and monitoring of various medical conditions, but the skeleton can be overlooked as radiologists concentrate on the primary reason for scanning. More than half a million CT scans done each year in the National Health Service (NHS) could potentially be screened for osteoporosis (increasing 5% annually). If CT-based screening became embedded in practice, then the technique could have a positive clinical impact in the identification of fragility fracture and/or low bone density. Several companies have developed software methods to diagnose osteoporosis/fragile bone strength and/or identify vertebral fractures in CT datasets, using various methods that include image processing, computational modelling, artificial intelligence and biomechanical engineering concepts. Technology to evaluate Hounsfield units is used to calculate bone density, but not necessarily bone strength. In this rapid evidence review, we summarise the current literature underpinning approved technologies for opportunistic screening of routine CT images to identify fractures, bone density or strength information. We highlight how other new software technologies have become embedded in NHS clinical practice (having overcome barriers to implementation) and highlight how the novel osteoporosis technologies could follow suit. We define the key unanswered questions where further research is needed to enable the adoption of these technologies for maximal patient benefit.
机译:骨质疏松症导致骨骼变得薄弱,多孔和骨折更容易。虽然椎骨骨折是骨质疏松症的原型骨折,但它也是临床上最难以诊断的。患者经常在诊断前遭受进一步的脊柱或其他骨折,畸形,高度丧失和疼痛。 2017年英国(英国)估计有52万脆性骨折(费用为4.5亿英镑),这一数字将增加30%以上增加30%。改善椎骨骨折鉴定和骨质疏松症诊断的一种方法是评估常规计算断层扫描(CT)扫描期间患者的脊柱或臀部。患者参加常规CT进行诊断和监测各种医疗条件,但骨架可以被忽视,因为放射科医生专注于扫描的主要原因。每年在国家卫生服务(NHS)中每年完成的超过一半CT扫描可能会筛查骨质疏松症(每年增加5%)。如果在实践中嵌入基于CT的筛选,则该技术可以在识别脆性骨折和/或低骨密度方面具有阳性临床影响。几家公司已经开发出软件方法,用于使用包括图像处理,计算建模,人工智能和生物力学工程概念的各种方法来诊断骨质疏松症/脆弱的骨强度和/或识别CT数据集中的椎骨骨折。评估Hounsfield单元的技术用于计算骨密度,但不一定是骨骼强度。在这个快速证据审查中,我们总结了当前的文献,用于机会筛查常规CT图像的机会筛选技术,以识别骨折,骨密度或强度信息。我们突出了其他新软件技术如何嵌入NHS临床实践(克服实施障碍),并强调新型骨质疏松技术如何效仿。我们定义了关键的未解决问题,需要进一步研究以使这些技术采用最大的患者利益。

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