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低剂量肺癌筛查胸部 CT 扫描上的骨质疏松标志物可预测全因死亡率。

Osteoporosis markers on low-dose lung cancer screening chest computed tomography scans predict all-cause mortality.

机构信息

Radiology Department, University Medical Center Utrecht, Heidelberglaan 100, E01.1A32, 3508 GA, Utrecht, The Netherlands.

出版信息

Eur Radiol. 2015 Jan;25(1):132-9. doi: 10.1007/s00330-014-3361-0. Epub 2014 Sep 25.

Abstract

OBJECTIVES

Further survival benefits may be gained from low-dose chest computed tomography (CT) by assessing vertebral fractures and bone density. We sought to assess the association between CT-measured vertebral fractures and bone density with all-cause mortality in lung cancer screening participants.

METHODS

Following a case-cohort design, lung cancer screening trial participants (N = 3,673) who died (N = 196) during a median follow-up of 6 years (inter-quartile range: 5.7-6.3) were identified and added to a random sample of N = 383 from the trial. We assessed vertebral fractures using Genant's semiquantative method on sagittal reconstructions and measured bone density (Hounsfield Units (HU)) in vertebrae. Cox proportional hazards modelling was used to determine if vertebral fractures or bone density were independently predictive of mortality.

RESULTS

The prevalence of vertebral fractures was 35% (95% confidence interval 30-40%) among survivors and 51% (44-58%) amongst cases. After adjusting for age, gender, smoking status, pack years smoked, coronary and aortic calcium volume and pulmonary emphysema, the adjusted hazard ratio (HR) for vertebral fracture was 2.04 (1.43-2.92). For each 10 HU decline in trabecular bone density, the adjusted HR was 1.08 (1.02-1.15).

CONCLUSIONS

Vertebral fractures and bone density are independently associated with all-cause mortality.

KEY POINTS

• Lung cancer screening chest computed tomography contains additional, potentially useful information. • Vertebral fractures and bone density are independently predictive of mortality. • This finding has implications for screening and management decisions.

摘要

目的

通过评估椎体骨折和骨密度,低剂量胸部 CT 可能会带来进一步的生存获益。我们旨在评估肺癌筛查参与者中 CT 测量的椎体骨折和骨密度与全因死亡率之间的关系。

方法

采用病例-队列设计,在中位随访 6 年(四分位间距:5.7-6.3)期间死亡(N=196)的肺癌筛查试验参与者(N=3673)被确定并添加到试验中的随机样本 N=383。我们使用 Genant 的半定量方法在矢状重建上评估椎体骨折,并测量椎体的骨密度(Hounsfield 单位(HU))。Cox 比例风险模型用于确定椎体骨折或骨密度是否独立预测死亡率。

结果

在幸存者中,椎体骨折的患病率为 35%(95%置信区间 30-40%),而在病例中为 51%(44-58%)。在调整年龄、性别、吸烟状况、吸烟包年数、冠状动脉和主动脉钙体积以及肺气肿后,椎体骨折的调整后危险比(HR)为 2.04(1.43-2.92)。对于骨小梁密度每下降 10 HU,调整后的 HR 为 1.08(1.02-1.15)。

结论

椎体骨折和骨密度与全因死亡率独立相关。

关键点

  1. 肺癌筛查用胸部 CT 包含额外的、潜在有用的信息。

  2. 椎体骨折和骨密度是死亡率的独立预测因素。

  3. 这一发现对筛查和管理决策具有影响。

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