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机会性 CT 筛查可预测有发生主要骨质疏松性骨折风险的个体。

Opportunistic CT screening predicts individuals at risk of major osteoporotic fracture.

机构信息

McCaig Institute for Bone and Joint Health, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.

Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

出版信息

Osteoporos Int. 2021 Aug;32(8):1639-1649. doi: 10.1007/s00198-021-05863-0. Epub 2021 Feb 10.

Abstract

UNLABELLED

Millions of CT scans are performed annually and could be also used to opportunistically assess musculoskeletal health; however, it is unknown how well this secondary assessment relates to osteoporotic fracture. This study demonstrates that opportunistic CT screening is a promising tool to predict individuals with previous osteoporotic fracture.

INTRODUCTION

Opportunistic computed tomography (oCT) screening for osteoporosis and fracture risk determination complements current dual X-ray absorptiometry (DXA) diagnosis. This study determined major osteoporotic fracture prediction by oCT at the spine and hip from abdominal CT scans.

METHODS

Initial 1158 clinical abdominal CT scans were identified from administrative databases and were the basis to generate a cohort of 490 men and women with suitable abdominal CT scans. Participant CT scans met the following criteria: over 50 years of age, the scan had no image artifacts, and the field-of-view included the L4 vertebra and proximal femur. A total of 123 participants were identified as having previously suffered a fracture within 5 years of CT scan date. Fracture cause was identified from clinical data and used to create a low-energy fracture sub-cohort. At each skeletal site, bone mineral density (BMD) and finite element (FE)-estimated bone strength were determined. Logistic regression predicted fracture and receiver-operator characteristic curves analyzed prediction capabilities.

RESULTS

In participants with a fracture, low-energy fractures occurred in 88% of women and 79% of men. Fracture prediction by combining both BMD and FE-estimated bone strength was not statistically different than using either BMD or FE-estimated bone strength alone. Predicting low-energy fractures in women determined the greatest AUC of 0.710 by using both BMD and FE-estimated bone strength.

CONCLUSIONS

oCT screening using abdominal CT scans is effective at predicting individuals with previous fracture at major osteoporotic sites and offers a promising screening tool for skeletal health assessment.

摘要

未加标签

每年进行数百万次 CT 扫描,也可用于机会性评估肌肉骨骼健康;然而,目前尚不清楚这种二次评估与骨质疏松性骨折的关系。这项研究表明,机会性 CT 筛查是预测既往骨质疏松性骨折患者的一种很有前途的工具。

引言

骨质疏松症和骨折风险确定的机会性计算机断层扫描(oCT)筛查补充了当前的双能 X 线吸收法(DXA)诊断。本研究通过腹部 CT 扫描确定了脊柱和髋部的主要骨质疏松性骨折预测值。

方法

从管理数据库中确定了最初的 1158 例临床腹部 CT 扫描,并以此生成了一个包含 490 名男性和女性的队列,这些人有合适的腹部 CT 扫描。参与者的 CT 扫描符合以下标准:年龄超过 50 岁,扫描无图像伪影,视野包括 L4 椎体和股骨近端。共有 123 名参与者被确定在 CT 扫描日期前 5 年内曾遭受过骨折。骨折原因从临床数据中确定,并用于创建低能量骨折亚组。在每个骨骼部位,测定骨矿物质密度(BMD)和有限元(FE)估计的骨强度。使用逻辑回归预测骨折,并用受试者工作特征曲线分析预测能力。

结果

在有骨折的参与者中,88%的女性和 79%的男性发生低能量骨折。使用 BMD 和 FE 估计的骨强度联合预测骨折的能力与单独使用 BMD 或 FE 估计的骨强度无统计学差异。在女性中,使用 BMD 和 FE 估计的骨强度联合预测低能量骨折的 AUC 最大,为 0.710。

结论

使用腹部 CT 扫描进行 oCT 筛查可有效预测主要骨质疏松性部位既往骨折的个体,为骨骼健康评估提供了一种很有前途的筛查工具。

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