The correlation between osteoporotic vertebrae fracture risk and bone mineral density measured by quantitative computed tomography and dual energy X-ray absorptiometry: a systematic review and meta-analysis

医学 骨质疏松症 定量计算机断层扫描 骨矿物 骨密度 双重能量 骨质疏松性骨折 双能X射线吸收法 断裂(地质) 放射科 核医学 内科学 材料科学 复合材料
作者
Lin Chen,Xinyi Wu,Jin Qi,Guang-yao Chen,Xiao Ma
出处
期刊:European Spine Journal [Springer Science+Business Media]
卷期号:32 (11): 3875-3884 被引量:10
标识
DOI:10.1007/s00586-023-07917-9
摘要

Abstract Summary This paper presents a comparison of quantitative computed tomography (QCT) and dual-energy X-ray absorptiometry (DXA) in osteoporosis with vertebral fracture and osteoporosis without fracture. It has been proved that the volumetric bone mineral density (vBMD) measured by QCT exhibits a stronger correlation with fracture risk than areal bone mineral density (aBMD) measured by DXA. Purpose This study aims to systematically evaluate the ability of QCT and DXA to distinguish between osteoporosis with vertebral fracture and osteoporosis without fracture according to vBMD and aBMD. Methods We conducted a primary literature search of the online databases up to 3 July, 2022, in both English and Chinese publications, combining synonyms for “QCT”, “DXA” and “osteoporosis”. The Newcastle–Ottawa scale (NOS) was employed to evaluate the quality of the selected articles. vBMD obtained through QCT and aBMD obtained through DXA were extracted, and were analyzed by Review Manager 5.4 and RStudio. Results Six studies with 610 individuals aged 45 to 90, of which 179 had vertebral fractures, were included in the final analysis. The weighted mean difference (WMD) between osteoporosis with vertebral fracture and osteoporosis without fracture for vBMD was − 27.08 (95% CI − 31.24 to − 22.92), while for aBMD was − 0.05 (95% CI − 0.08 to − 0.03). Conclusions Both vBMD detected by QCT and aBMD detected by DXA could discriminate fracture status in the spine, and vBMD performed a stronger correlation with fracture risk. Trial registration : PROSPERO 2022 CRD42022349185.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Zym发布了新的文献求助10
刚刚
SevenKing完成签到,获得积分20
刚刚
刚刚
2秒前
英俊的铭应助www采纳,获得10
2秒前
xx完成签到,获得积分20
2秒前
2秒前
SevenKing发布了新的文献求助10
2秒前
2秒前
FashionBoy应助lhy123采纳,获得10
3秒前
zzzkk完成签到,获得积分10
3秒前
小狮子发布了新的文献求助10
6秒前
乐观的问枫完成签到 ,获得积分10
6秒前
6秒前
7秒前
小七完成签到,获得积分20
7秒前
Pessica发布了新的文献求助10
7秒前
9秒前
9秒前
研友_aLjNNL完成签到,获得积分10
9秒前
10秒前
10秒前
Sirius发布了新的文献求助10
11秒前
放逐心灵完成签到,获得积分20
11秒前
知识四面八方来完成签到 ,获得积分10
12秒前
12秒前
Khan发布了新的文献求助10
12秒前
伊绵好完成签到,获得积分10
12秒前
13秒前
碎片发布了新的文献求助10
13秒前
dddlll发布了新的文献求助10
14秒前
skyler发布了新的文献求助10
14秒前
小蘑菇应助suuu采纳,获得30
14秒前
zizizizi发布了新的文献求助10
15秒前
TEE发布了新的文献求助10
16秒前
无极微光应助如意的书白采纳,获得20
16秒前
活泼学生发布了新的文献求助10
16秒前
小碗发布了新的文献求助10
17秒前
Alvaro发布了新的文献求助10
17秒前
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7251549
求助须知:如何正确求助?哪些是违规求助? 8874035
关于积分的说明 18730628
捐赠科研通 6931418
什么是DOI,文献DOI怎么找? 3199473
关于科研通互助平台的介绍 2374329
邀请新用户注册赠送积分活动 2174053