Optimal threshold in low-dose CT quantification of emphysema

医学 斯皮尔曼秩相关系数 核医学 肺癌 秩相关 肺功能测试 相关性 放射科 人口 肺气肿 内科学 统计 数学 几何学 环境卫生
作者
Xianxian Cao,Chenwang Jin,Tao Tan,Youmin Guo
出处
期刊:European Journal of Radiology [Elsevier]
卷期号:129: 109094-109094 被引量:6
标识
DOI:10.1016/j.ejrad.2020.109094
摘要

Objective Low–dose CT is now widely used in the screening of lung cancer and the detection of pulmonary nodules. There has also been increasing interest in using Low–dose CT for evaluating emphysema. In conventional dose CT, the threshold of −950HU is a common threshold for density-based emphysema quantification for worldwide population. However, the optimal threshold for assessing emphysema at low-dose CT has not been determined. The purpose of this study is to determine the optimal threshold for low-dose CT quantification of emphysema for Chinese population. Materials and methods In this study, 548 low-dose chest CT examinations acquired from different subjects (119 none, 49 mild, 163 moderate, 152 severe, and 65 very severe obstruction) are collected. At the level of the entire lung and individual lobes, the extent of emphysema was quantified by the percentage of the low attenuation area (LAA%) at a wide range of thresholds from −850HU to −1000HU. Both Pearson and Spearman’s rank correlation coefficients were used to assess the correlations between 1) LAA% and pulmonary functions and 2) LAA% and the five-category classification. The statistical significance of the difference between correlation coefficients were evaluated using Steiger’Z test. Results LAA% had a good correlation with both pulmonary function (|r| = 0.1–0.600, p < 0.001) and the five-category classification (r = 0.163–0.602, p < 0.001) in both the entire lung and individual lobes under different thresholds. The highest correlation coefficient is obtained at −940HU instead of -950HU. Conclusion Low-dose CT can be used for quantitative assessment of emphysema, and the threshold of -940HU is a suitable threshold for quantifying emphysema in low-dose CT images for Chinese population.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
闪电完成签到,获得积分10
1秒前
单薄乐珍完成签到 ,获得积分10
1秒前
蓝莲完成签到,获得积分20
1秒前
wpy发布了新的文献求助20
1秒前
赘婿应助hotongue采纳,获得10
2秒前
小学猹完成签到,获得积分10
2秒前
caicai完成签到,获得积分10
3秒前
cc完成签到 ,获得积分10
3秒前
戴先森发布了新的文献求助10
3秒前
tkdzjr12345发布了新的文献求助10
4秒前
冷冻不冷完成签到,获得积分10
5秒前
阿弹完成签到,获得积分10
5秒前
宋晓静完成签到,获得积分10
5秒前
李健应助Steve采纳,获得10
5秒前
6秒前
boom发布了新的文献求助10
6秒前
victorzou完成签到,获得积分10
6秒前
研友_IEEE快到碗里来完成签到,获得积分10
6秒前
zh完成签到,获得积分10
7秒前
camellia完成签到,获得积分10
7秒前
申木完成签到 ,获得积分10
7秒前
zasideler完成签到,获得积分10
8秒前
赖建琛完成签到 ,获得积分10
8秒前
黄俊完成签到,获得积分10
9秒前
9秒前
壮观复天完成签到,获得积分10
10秒前
傲娇的咖啡豆完成签到,获得积分10
10秒前
淡定访琴完成签到,获得积分10
11秒前
激流勇进wb完成签到 ,获得积分10
11秒前
11秒前
Singularity应助开心市民采纳,获得10
12秒前
ZzZz完成签到,获得积分10
12秒前
Lei完成签到,获得积分10
13秒前
体贴向珊完成签到,获得积分10
13秒前
xuhang完成签到,获得积分10
14秒前
Lucas应助wybdsj采纳,获得10
14秒前
elliot完成签到,获得积分10
15秒前
efdhhweiof发布了新的文献求助10
15秒前
糊涂的语兰完成签到,获得积分10
16秒前
高分求助中
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3121810
求助须知:如何正确求助?哪些是违规求助? 2772185
关于积分的说明 7711736
捐赠科研通 2427602
什么是DOI,文献DOI怎么找? 1289422
科研通“疑难数据库(出版商)”最低求助积分说明 621451
版权声明 600169