Diagnostic accuracy of quantitative dual-energy CT-based bone mineral density assessment in comparison to Hounsfield unit measurements using dual x-ray absorptiometry as standard of reference

医学 霍恩斯菲尔德秤 骨矿物 骨质疏松症 核医学 双重能量 双能X射线吸收法 骨密度 放射科 计算机断层摄影术 内科学
作者
Christian Booz,Jochen Noeske,Moritz H. Albrecht,Lukas Lenga,Simon S. Martin,İbrahim Yel,Nicole A. Huizinga,Thomas J. Vogl,Julian L. Wichmann
出处
期刊:European Journal of Radiology [Elsevier]
卷期号:132: 109321-109321 被引量:40
标识
DOI:10.1016/j.ejrad.2020.109321
摘要

Purpose To assess the diagnostic accuracy of phantomless dual-energy computed tomography (DECT)-based volumetric material decomposition to assess bone mineral density (BMD) of the lumbar spine for the detection of osteoporosis compared to Hounsfield unit (HU) measurements with dual x-ray absorptiometry (DXA) as reference standard. Method A total of two hundred lumbar vertebrae in 53 patients (28 men, 25 women; mean age, 52 years, range, 23−87 years) who had undergone clinically-indicated third-generation dual-source DECT and DXA within 30 days were retrospectively analyzed. For volumetric BMD assessment, dedicated DECT postprocessing software using material decomposition was applied, which enables color-coded three-dimensional mapping of the trabecular BMD distribution. Manual HU measurements were performed by defining five trabecular regions of interest (ROI) per vertebra as suggested by literature. The DXA T-score served as standard of reference (osteoporosis: T < -2.5). Sensitivity, specificity and the area under the curve (AUC) were primary metrics of diagnostic accuracy. Results An optimal patient-based DECT-derived BMD cut-off of 84 mg/cm³ yielded 96 % sensitivity (22/23) and 93 % specificity (28/30) for detecting osteoporosis, while an optimal CT attenuation cut-off of 139 HU showed 65 % sensitivity (15/23) and 93 % specificity (28/30) for the detection of osteoporosis. Overall patient-based AUC were 0.930 (volumetric DECT) and 0.790 (HU analysis) (p < .001). Pearson’s product-moment correlation showed higher correlation between DECT BMD and DXA values (r=0.780) compared to HU and DXA values (r=0.528) (p < .001). Conclusions Phantomless volumetric DECT yielded significantly more accurate BMD assessment of the lumbar spine and superior diagnostic accuracy of osteoporosis compared to HU measurements.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
胖虎的老张完成签到,获得积分10
刚刚
米米米完成签到,获得积分10
刚刚
孤独问旋完成签到,获得积分10
1秒前
大个应助豌豆射手采纳,获得10
1秒前
YING完成签到,获得积分10
2秒前
小杭76应助优雅的砖头采纳,获得10
2秒前
机智跳跳糖完成签到,获得积分10
2秒前
充电宝应助果称采纳,获得10
2秒前
眼睛大的可乐完成签到,获得积分10
3秒前
ppppp完成签到,获得积分20
3秒前
3秒前
lalala应助QIQI采纳,获得10
3秒前
清爽猕猴桃完成签到,获得积分20
4秒前
含糊的衬衫完成签到 ,获得积分20
4秒前
爱哭的小女孩完成签到,获得积分10
4秒前
4秒前
梦槐完成签到,获得积分10
5秒前
吕君完成签到,获得积分10
5秒前
anan应助竹林风箫采纳,获得10
6秒前
6秒前
依然小爽完成签到,获得积分10
6秒前
7秒前
Cy完成签到,获得积分10
7秒前
乐观的海发布了新的文献求助10
8秒前
NexusExplorer应助勤劳寒烟采纳,获得10
9秒前
9秒前
YUMMY发布了新的文献求助10
9秒前
10秒前
nancylan应助CooLIT采纳,获得10
10秒前
10秒前
orixero应助糟糕的秋白采纳,获得10
10秒前
GG完成签到,获得积分10
11秒前
11秒前
斯文白梦完成签到,获得积分10
11秒前
yy发布了新的文献求助10
12秒前
清心淡如水完成签到 ,获得积分10
12秒前
12秒前
13秒前
晚风发布了新的文献求助10
13秒前
wlscj给舒桐啊的求助进行了留言
13秒前
高分求助中
(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
Fermented Coffee Market 2000
Constitutional and Administrative Law 500
PARLOC2001: The update of loss containment data for offshore pipelines 500
Critical Thinking: Tools for Taking Charge of Your Learning and Your Life 4th Edition 500
Investigative Interviewing: Psychology and Practice 300
Atlas of Anatomy (Fifth Edition) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5286904
求助须知:如何正确求助?哪些是违规求助? 4439441
关于积分的说明 13821830
捐赠科研通 4321463
什么是DOI,文献DOI怎么找? 2371969
邀请新用户注册赠送积分活动 1367463
关于科研通互助平台的介绍 1330923